{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "960ceacb-3c3f-484c-95b9-172bd009b1a4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a VRA modification of state's Home Districts to accommodate VRA districts\n",
      "We are repeating HomeD paper's VRA-HD-OH, but with second VRA district in Columbus, and alt levelL and maxAR parameters\n",
      "In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\n"
     ]
    }
   ],
   "source": [
    "#  THIS IS VANILLA HD + two forced VRA districts\n",
    "print(\"This is a VRA modification of state's Home Districts to accommodate VRA districts\")\n",
    "print(\"We are repeating HomeD paper's VRA-HD-OH, but with second VRA district in Columbus, and alt levelL and maxAR parameters\")\n",
    "print(\"In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\")\n",
    "import shapely\n",
    "from shapely.geometry import Point, LineString, Polygon\n",
    "from shapely.ops import nearest_points, transform\n",
    "from shapely.affinity import translate, scale\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from numpy import random\n",
    "from scipy.stats import norm\n",
    "from scipy.optimize import minimize, minimize_scalar\n",
    "import math\n",
    "import time\n",
    "import ast\n",
    "# from HDmethods import *   #I want to implement this, but my HDmethods require shapely functions\n",
    "# see https://stackoverflow.com/questions/66877728/proper-way-to-use-import-when-calling-external-function for a future workaround\n",
    "\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "#handy function for plotting Polygon or multiPolygon tracts and precincts\n",
    "def plotPoly(inputPoly,LW=1):\n",
    "    dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "    if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "        x,y = inputPoly.exterior.xy\n",
    "        plt.plot(x,y,lw=LW)\n",
    "    else:\n",
    "        for geom in inputPoly.geoms:\n",
    "            if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.plot(x,y,lw=LW)  \n",
    "def plotCenter(t,geom,FONTSIZE=10):\n",
    "    plt.text(geom.centroid.x,geom.centroid.y,t,ha='center',fontsize=FONTSIZE)\n",
    "    \n",
    "def r3(number):\n",
    "    result = round(number,3)\n",
    "    return result\n",
    "\n",
    "def r5(number):\n",
    "    result = round(number,5)\n",
    "    return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2ab4a3d5-f4e7-4aec-b81c-0e786cd35b57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def getWeightedAvgAndSD(LIST, WEIGHTS):  #from IN\n",
    "    nWeights = len(WEIGHTS)\n",
    "    normWeights = [WEIGHTS[i] / np.sum(WEIGHTS) for i in range(nWeights) ]\n",
    "    AVG = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        AVG += normWeights[i] * value\n",
    "    sumVar = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        sumVar += normWeights[i] * (value - AVG)**2\n",
    "    SD = sumVar ** 0.5     #don't need to normalize again since weights were normalized\n",
    "    return AVG, SD\n",
    "\n",
    "def squish(shapeList, cutLINE, farLINE, newFarLINE):\n",
    "    \"\"\"\n",
    "    This method compresses a list of shapes lying between the cutLINE and the farLINE)\n",
    "    such that the Polygons now lie between the cutLINE and the newFarLINE, which is closer to the cutLINE\n",
    "    Used to compress state outcroppings into a more compact state representation.\n",
    "     (I tried doing this point by point (see #'s), but this overdistorted geometries.)\n",
    "      (#This was a manual alternative to shapely.affinity.scale and .translate operations)\n",
    "       So instead, we run this AFTER established untransformed map topology, and \n",
    "        we simply scale and translate each unit.  This loses true connectivity.\n",
    "        Scaling is all lengths scale by compression of distance\n",
    "    The cut, far, and newFar LineString segments are preferably parallel\n",
    "    The method returns the modified shapes of all pollys\n",
    "    \"\"\"\n",
    "    if cutLINE.intersects(farLINE) or cutLINE.intersects(newFarLINE):\n",
    "        print(\"cutLine,farLine, newFarLine were\",cutLINE, farLINE, newFarLINE)\n",
    "        raise Exception(\"ERROR: the proposed cutLine intersects the current or proposed far line\")\n",
    "    newPollys = list()\n",
    "    for polly in shapeList:\n",
    "        pollyCP = polly.centroid\n",
    "        cutPt =     nearest_points(cutLINE,   pollyCP)[0]\n",
    "        farPt =     nearest_points(farLINE,   pollyCP)[0]\n",
    "        newFarPt =  nearest_points(newFarLINE,pollyCP)[0]\n",
    "        curr_cutX, curr_cutY =            pollyCP.x - cutPt.x, pollyCP.y -  cutPt.y\n",
    "        currFar_CutX , currFar_CutY  =    farPt.x - cutPt.x, farPt.y   -  cutPt.y\n",
    "        new_currFarX, new_currFarY =      newFarPt.x - farPt.x, newFarPt.y - farPt.y\n",
    "        newFar_CutX,  newFar_CutY =       newFarPt.x - cutPt.x, newFarPt.y   -  cutPt.y\n",
    "        distanceRatio = newFarPt.distance(cutPt)/farPt.distance(cutPt) #scale area ^length^2\n",
    "        XOFF,YOFF = 0., 0.\n",
    "        XFACT, YFACT = 1., 1.  #default = no stretch\n",
    "        # basic equation: (new-cut)/(curr-cut) = (newFar-cut)/(currFar - cut)\n",
    "        #  or: (new-curr)  = (curr-cut)*(newFar-currFar)/(currFar - cut)   # -1 to both sides\n",
    "        if currFar_CutX != 0:\n",
    "            XOFF =  curr_cutX * new_currFarX / currFar_CutX\n",
    "            XFACT =              newFar_CutX / currFar_CutX\n",
    "        if currFar_CutY != 0:\n",
    "            YOFF =  curr_cutY * new_currFarY / currFar_CutY\n",
    "            YFACT =              newFar_CutY / currFar_CutY\n",
    "        newPolly = translate(polly,xoff=XOFF,yoff=YOFF)\n",
    "        newPolly = scale(newPolly, xfact=XFACT, yfact=YFACT, origin='centroid')\n",
    "        newPollys.append( newPolly )       \n",
    "    return newPollys\n",
    "\n",
    "def getHDcp(TRACTCP,TRACTPOP, TRACTLIST, SPLITTRACTNO = -777,SPLITTRACTUSE = 1.):  #population centerpoint of a Home District or county (cluster)\n",
    "    cpx, cpy, sumPop = 0.,0., 0.\n",
    "    for tt in TRACTLIST:\n",
    "        USE = 1.\n",
    "        if tt ==    SPLITTRACTNO:\n",
    "            USE =   SPLITTRACTUSE\n",
    "        sumPop += USE*TRACTPOP[tt]\n",
    "        cpx +=    USE*TRACTPOP[tt] * TRACTCP[tt].x\n",
    "        cpy +=    USE*TRACTPOP[tt] * TRACTCP[tt].y\n",
    "    HDCP_ = Point(cpx/sumPop, cpy/sumPop)\n",
    "    return HDCP_\n",
    "\n",
    "#  The below four methods are TO SNAP to HD SHAPES without any solving / iteration\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    The optional xScale parameter is the ratio of longitude to latitude lengths scales (<<1 for far from equator)\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def buildPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a 4-tri polygon from four HD wedges emanating from the centerpoint\n",
    "    Pt = [Point(0,0)]*12                      #xScale has same meaning as in buildWedge\n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW]  #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ]  \n",
    "        Pt[nW*2] =   Point(CP.x + RADII[nW]/XSCALE*math.cos(ccwAngle), CP.y + RADII[nW]*math.sin(ccwAngle) )\n",
    "        Pt[nW*2+1] = Point(CP.x + RADII[nW]/XSCALE*math.cos( cwAngle), CP.y + RADII[nW]*math.sin( cwAngle) )        \n",
    "    POLLY = Polygon([Pt[0],Pt[1],Pt[2],Pt[3],Pt[4],Pt[5],Pt[6],Pt[7] ])\n",
    "    return POLLY\n",
    "\n",
    "def buildArcPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a fuller polygon from four HD wedges emanating from the centerpoint\n",
    "    twoPi = 2. * 3.1415926   #xScale has same meaning as in buildWedge\n",
    "    POINTS = list()                   \n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW] % twoPi                 #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ] % twoPi \n",
    "        midAngle = [0.75*ccwAngle + 0.25*cwAngle , 0.25*ccwAngle + 0.75*cwAngle ]  #avoid s sampling cone center for wide angles\n",
    "        if abs (ccwAngle - cwAngle) > 3.1415926 :  #angles straddle angle=0\n",
    "            midAngle = [0.75*(ccwAngle - twoPi) + 0.25*cwAngle , 0.25*(ccwAngle -twoPi) + 0.75*cwAngle ]\n",
    "        angList = [ccwAngle] + midAngle + [cwAngle]\n",
    "        for ang in angList:\n",
    "            POINTS.append(Point(CP.x + RADII[nW]/XSCALE*math.cos(ang), CP.y + RADII[nW]*math.sin(ang) ) )\n",
    "                          \n",
    "    POLLY = Polygon(POINTS)\n",
    "    return POLLY\n",
    "\n",
    "def getPolyPop(POLLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points contained by a polygon\n",
    "    WPOP, WLIST = 0., list()\n",
    "    for tt in CANDIDATELIST:\n",
    "        if POLLY.contains(TRACTCP[tt]):\n",
    "            WPOP += TRACTPOP[tt]\n",
    "            WLIST.append(tt)\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonCPP(POLLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county in getPolyPop\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if POLLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonHCunits(POLLY, HC, UNITLIST, UNITCP, UNITPOP, ALLFUSEDCOUNTIES, AREAFRAC, COUNTYGEOM, \n",
    "                  NEIGHBORCOUNTYLIST, COUNTYUNITLIST):\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"unit counties\" are added as whole units if a sufficient area fraction is captured.  For non-unitCs, we probe each component vtd / tract\n",
    "    \"\"\"\n",
    "    UPOP, ULIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county before we called this method\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        #1/9/24 - DO WE NEED TO MODIFY THE ORDER BELOW TO AVOID CREATING HOLES AND ENCLAVES ??  #\n",
    "        \n",
    "        for c in latestClist:\n",
    "            for cc in list( set(NEIGHBORCOUNTYLIST[c]).difference(set(ALLFUSEDCOUNTIES)) ):\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        if cc+0.5 in UNITLIST:\n",
    "                            if POLLY.intersection(COUNTYGEOM[cc]).area >=  AREAFRAC[cc] * COUNTYGEOM[cc].area :\n",
    "                                intersectedClist.append(cc)   #for unit counties, intersections count only if they capture sufficient area\n",
    "                                newClist.append(cc)\n",
    "                                UPOP += UNITPOP[UNITLIST.index(cc+0.5)]\n",
    "                                ULIST.append( UNITLIST.index(cc+0.5) )\n",
    "                        else:                           \n",
    "                            intersectedClist.append(cc)\n",
    "                            newClist.append(cc)\n",
    "                            if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                                unitsToAdd = COUNTYUNITLIST[cc]\n",
    "                                UPOP += np.sum(  [ UNITPOP[uu] for uu in unitsToAdd ]  )\n",
    "                                ULIST += unitsToAdd\n",
    "                            else:\n",
    "                                for uu in COUNTYUNITLIST[cc]:\n",
    "                                    if POLLY.contains(UNITCP[uu]):\n",
    "                                        UPOP += UNITPOP[uu]\n",
    "                                        ULIST.append(uu)\n",
    "        latestClist = newClist.copy()\n",
    "        \n",
    "    return UPOP, ULIST\n",
    "\n",
    "def clusterSwell(CP_, CCBgeom, CCBpop, allUnits, unitCP, unitPop, unitNbrs, borderUnits, TGTPOP):\n",
    "    \"\"\"\n",
    "    This method grows a Home District by \"swelling\" from a corner county cluster.  First, we add the full cluster,\n",
    "     then we add closest neighbor units to the home district centerpoint CP_ until we reach the TGTPOP\n",
    "     new for MN 4/7/24 - don't enforce contiguity here -- too slow -- fix in cleanup stage instead\n",
    "     \"\"\"\n",
    "    hd_CCBdist = [CP_.distance(geo) for geo in CCBgeom]\n",
    "    CCBno = hd_CCBdist.index(np.min(hd_CCBdist))  #ID's the closest cluster to this HD center.  Should contain the HD, but rarely will not\n",
    "    unitNo = allUnits.index(CCBno+0.25)\n",
    "    newList, prevList, addedList, addedPop = [unitNo], [unitNo], [unitNo], unitPop[unitNo]  #seed with the cluster pop and unit\n",
    "    while addedPop < 0.99 * TGTPOP and len(newList) > 0:\n",
    "        tryList = getAdjoiners(addedList,unitNbrs)\n",
    "        tryDist = [ CP_.distance(unitCP[UU]) for UU in tryList ]\n",
    "        idx = np.argsort(tryDist)\n",
    "        idxNo, newList = 0, list()\n",
    "        haveNotAdded = True\n",
    "        while idxNo < len(tryList) and haveNotAdded:\n",
    "            UU = tryList[idx[idxNo]]\n",
    "            if unitPop[UU] + addedPop < 1.01 * TGTPOP :  #and wontEnclave(UU, addedList, unitNbrs, borderUnits) :  #we'll post-fix contig'y\n",
    "                newList.append(UU)\n",
    "                addedList.append(UU)\n",
    "                addedPop += unitPop[UU]\n",
    "                haveNotAdded = False\n",
    "            idxNo +=1\n",
    "        prevList = newList.copy()\n",
    "        \n",
    "    return addedPop, addedList\n",
    "            \n",
    "def getFakeHC(HDPOLLY, HC, CCBlist, countyGeom, MAP) :\n",
    "    \"\"\"\n",
    "    This method is for setting a fake home county for counties in corner clusters, so that county neighbors can be found budding from the \"home county\"\n",
    "    We pick the county in the cluster closest to the map center and intersecting the HDpoly.  This will be an active county on the cluster boundary   \n",
    "    \"\"\"\n",
    "    MAPcenter = MAP.centroid\n",
    "    for L in CCBlist:\n",
    "        if HC in L:\n",
    "            distList, cList = list(), list()\n",
    "            for C in L:\n",
    "                if HDPOLLY.intersects(countyGeom[C]):\n",
    "                    distList.append(countyGeom[C].distance(MAPcenter))\n",
    "                    cList.append(C)\n",
    "    fakeHC = cList[distList.index(np.min(distList)) ]\n",
    "    return fakeHC\n",
    "\n",
    "def getLongDist(CP1, CP2, xScale = 1.0): #distance between two points with EW distance scaled down by latitude\n",
    "    #LAT = MAP.centroid.y\n",
    "    #xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "    dist = ( xScale*xScale * (CP1.x - CP2.x)*(CP1.x - CP2.x)  +  (CP1.y - CP2.y)*(CP1.y - CP2.y) ) **0.5 \n",
    "    return dist\n",
    "\n",
    "# THESE ARE THE METHODS USED IN SOLVING HD SHAPES\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def getCountyWP(T, WEDGEPOLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points in a wedge excluding a point\n",
    "        WPOP, WLIST = 0., list()\n",
    "        for tt in CANDIDATELIST:\n",
    "            if tt != T and WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                WPOP += TRACTPOP[tt]\n",
    "                WLIST.append(tt)\n",
    "        return WPOP, WLIST\n",
    "\n",
    "def getNonCWP(WEDGEPOLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by an infinite polygonal wedge for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def isIncludedA(STARTa, ENDa, TESTa): #determines if a test angle is between a start and end angle (True)\n",
    "    \"\"\"\n",
    "    The start angle must be less than the end angle when placed on the [0, 2 pi] interval  (ccw convention)\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    STARTa, ENDa, TESTa = STARTa % (2.*pi), ENDa % (2.*pi), TESTa % (2.*pi)  #place on the 2pi interval\n",
    "    isIncludedA = False\n",
    "    if STARTa  > ENDa :  #included angle straddles east\n",
    "        if   TESTa  >= STARTa or TESTa < ENDa :  #near-east between the two\n",
    "            isIncludedA = True\n",
    "    else:\n",
    "        if TESTa >= STARTa and TESTa < ENDa :  #normal case\n",
    "            isIncludedA = True\n",
    "    return isIncludedA\n",
    "\n",
    "def getNonCWP_c(STARTANGL, ENDANGL, HC, TRACTCP,TRACTPOP,COUNTYGEOM,COUNTYPOP,COUNTYTRACTLIST,\n",
    "                                    NEIGHBORCOUNTYLIST, UUDIST, UUANGLE, WEDGEPOLY) :\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a polygonal wedge for counties contiguous with the Home County (no hop-overs),\n",
    "    EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    Unlike its getNonCWP vanilla parent, this one uses angles rather than infinite wedges for units (still wedges for counties)\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if isIncludedA(STARTANGL, ENDANGL, UUANGLE[tt]): #WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getExitAngle(CP,WEDGEPOLY, MAP, A0, A1):\n",
    "    \"\"\"\n",
    "    This code determines the orientation angle from a CenterPoint to the intersection of a wedge with an exterior boundary\n",
    "    If an intersection is not found, we just take the average angle of the wedge start/stop angles A0, A1 as this orientation angle\n",
    "    MAP must be a single polygon for this to work in the revised code (tho could run thru all polygons in MAP if a multipolygon)\n",
    "    \"\"\"\n",
    "    EXITANGLE = 0.5* (A0 + A1) #this will be the angle from the x-axis to the exit beeline\n",
    "    if WEDGEPOLY.intersects(MAP.exterior):\n",
    "        edgeLine = WEDGEPOLY.intersection(MAP.exterior) #true state boundary line where wedge crossed it\n",
    "        closePoint = nearest_points(edgeLine,CP)[0]\n",
    "        dx = closePoint.x - CP.x       #this and below lines were indented in original code***\n",
    "        dy = closePoint.y - CP.y\n",
    "        EXITANGLE =  pi/2. * np.sign(dy)  #default in case dx=0\n",
    "        if (dx != 0. ):\n",
    "            EXITANGLE = math.atan(dy/dx) + random.uniform(-0.01,0.01) #add wiggle to avoid exact NESW orientation in gridded states\n",
    "            if dx < 0. :  #use complementary atan solution; boundary is west of tract centroid\n",
    "                EXITANGLE = pi + EXITANGLE\n",
    "    return EXITANGLE # this reorients 0th wedge to face boundary's closest point\n",
    "\n",
    "def getNewAngles(mWP, tWP, ADP, LEVEL_L, MINADJRATIO, MAXANGLE, MAXANGLERATIO, nUNFILLEDWEDGES): \n",
    "    \"\"\"\n",
    "    This method classifies Home Districts based on how their post-reoriented equi-angle max wedge pops stack up vs targets,\n",
    "     then changes wedge angles in some situations to pick up more population along the boundary\n",
    "    If there is one wedge that will fall short of a quarter district pop, then we adjust angles if it is sufficiently short    \n",
    "    (Using \"HD2\" code, the opposite wedge's pop will be constrained as well.)\n",
    "    If there are two opposite-facing constrained wedges, we do not adjust angles\n",
    "    If there are two adjacent constrained wedges, we classify as a corner (no angle change) if the adjacent wedge is sufficiently constrained,\n",
    "      otherwise we treat as a single constrained wedge\n",
    "    If there are three constrained wedges, the angles are unchanged; we use the 4th wedge to pick up all pop\n",
    "    If all four wedges are constrained, there is an error and we raise a flag.\n",
    "    mWP is the quadlist of maxWedgePops we would get by extending each wedge to the MAP boundary\n",
    "    tWP is the quadlist of targetWedgePops\n",
    "    LEVEL_L is the non-dimensional distance to the boundary at which we no longer adjust wedge angles to drive more near-boundary pop\n",
    "    MAXANGLERATIO is the max ratio of the wide angle (facing the boundary) to the normal angle (e.g. 90deg for four wedges) ...\n",
    "    but this is truncated near-boundary to MAXANGLE (e.g. 1.8 pi/2 instead of increasing all the way to 1.9 pi/2)\n",
    "      NOTE THAT this code does not consider nearly-shorted wedges -- those are a separate method called later if all mWP's > tWP's\n",
    "    \"\"\"   \n",
    "    isChange = False   #default; we are NOT changing angles\n",
    "    printDebuggg = False\n",
    "    NWEDGES = len(mWP)\n",
    "    avgWedgeAngle = 2.*math.pi / NWEDGES\n",
    "    minW = mWP.index(np.min(mWP))  #index of the wedge with the lowest max wedge pop\n",
    "    oppW = int( int(minW + NWEDGES/2) % NWEDGES )  #and its opposing wedge\n",
    "    Lstar = ( mWP[minW] / (0.25*ADP) )**0.5  #shortest wedge's nondim'l distance to boundary\n",
    "    \n",
    "    case = \"keep same wedge angles\" #default; no unfillable wedges or all but one are unfillable\n",
    "    if nUNFILLEDWEDGES >= NWEDGES:\n",
    "        raise Exception(\"ERROR! ALL WEDGES ARE CONSTRAINED for tract\",t,\".  IMPOSSIBLE!!\")\n",
    "    if nUNFILLEDWEDGES == 1:\n",
    "        case = \"constrain opp wedge\"\n",
    "        if Lstar >= levelL :\n",
    "            case = \"keep same wedge angles\"  #not close enough to boundary to distort HD shape\n",
    "    if nUNFILLEDWEDGES == 0 or nUNFILLEDWEDGES == NWEDGES - 1:  #far from boundary or with only one wedge w/large pop\n",
    "        case = \"keep same wedge angles\"   \n",
    "    if nUNFILLEDWEDGES == 2:  #must determine if opposite or adjacent           \n",
    "        if mWP[oppW] < tWP[oppW]:  #shorted wedges oppose each other, so ...\n",
    "            case = \"keep same wedge angles\" #...the HD shape will naturally widen to pick up adjacent pop\n",
    "        else:  #we have 2 adjacent (non-opposing) shorted wedges... but how shorted?  ID the adjacent wedge\n",
    "            for nW in range(NWEDGES):\n",
    "                if mWP[nW] < tWP[nW] and nW != minW :\n",
    "                    adjW = nW  #this is the adjacent wedge\n",
    "                    adjRatio = mWP[adjW] / tWP[adjW]\n",
    "            if adjRatio < minAdjRatio:  #we're close to a corner (this adjacentWedge is significantly constrained)\n",
    "                case = \"keep same wedge angles\"\n",
    "                if printDebuggg :\n",
    "                    print(\"Not adjusting wedge angles for tract\",t,\"as 2nd-sparsest wedge\",adjW,\"has pop\",mWP[adjW] )\n",
    "            else:\n",
    "                case = \"constrain opp wedge\"  #we will set the angles and target pops as if the adj wedge were not constrained\n",
    "    \n",
    "    if case == \"keep same wedge angles\":\n",
    "        isChange = False\n",
    "        WEDGEANGLE = [avgWedgeAngle for w in range(NWEDGES) ]\n",
    "\n",
    "    if case == \"constrain opp wedge\":  #Here, we modify wedge angles.  MWP's will be recalc'd outside the method\n",
    "        isChange = True  \n",
    "        wideAngle = min(MAXANGLE, avgWedgeAngle*max(  1,( 1.+(MAXANGLERATIO-1.)*(LEVEL_L - Lstar)/(LEVEL_L - 0.) )  ) )\n",
    "        WEDGEANGLE = [(2.*pi - 2. * wideAngle)/ (NWEDGES - 2.) for w in range(NWEDGES) ]  \n",
    "        WEDGEANGLE[minW] = wideAngle\n",
    "        WEDGEANGLE[oppW] = wideAngle\n",
    "    \n",
    "    return isChange, WEDGEANGLE\n",
    "\n",
    "def rebalanceTWPs(MWP, TWP, BARREDLIST=list()):\n",
    "    \"\"\"\n",
    "    This method iteratively increases targetWedgePops to accommodate wedges that have maxWedgePop < targetWedgePop.\n",
    "    The wedgePop gap is distributed equally among wedges that have some capacity and are not BARRED (e.g. an opposite wedge in HD2 method)\n",
    "     (If this pushes some wedges over capacity, this will be fixed in a later run through loop inside this method)\n",
    "    We also flag which wedges \"will fill\" = have sufficient capacity after the rebalancing of the targets to not use the entire maxWedgePoly\n",
    "    \"\"\"\n",
    "    DEBUGrTWP = False\n",
    "    NWEDGES = len(MWP)\n",
    "    unorderedCapacity = [MWP[w] - TWP[w] for w in range(NWEDGES) ]\n",
    "    idx = np.argsort(unorderedCapacity)\n",
    "    #for nn in range(NWEDGES):\n",
    "    #    print(MWP[idx[nn]])\n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        for nn in range(NWEDGES):\n",
    "            print(\"barred list, orig MWP, TWP\",BARREDLIST, r3(MWP[nn]),r3(TWP[nn]) )\n",
    "    \n",
    "    for nn in range(NWEDGES):  #going from least to most maxWedgePop here ...\n",
    "        nW = idx[nn]\n",
    "        if MWP[nW] < TWP[nW]: #need to redistribute extra target to higher-capacity wedges ...\n",
    "            wedgePopGap = TWP[nW] - MWP[nW]\n",
    "            TWP[nW] = MWP[nW]  #max out this wedge\n",
    "            nReceivers = 0.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....\n",
    "                    nReceivers += 1.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....                    \n",
    "                    TWP[WW] += wedgePopGap / nReceivers  #... so give it equal share of the gap, even if this goes over; we'll correct in later loop\n",
    "                    \n",
    "    WILLFILL = [1]*NWEDGES\n",
    "    for nW in range(NWEDGES):\n",
    "        if MWP[nW] < 1.001* TWP[nW]:  #required pop nearly or truly requires the entire wedge\n",
    "            WILLFILL[nW] = 0 \n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        print(\"adjusted TWP's are\",TWP)\n",
    "    return TWP, WILLFILL\n",
    "\n",
    "def solveWedge(nontractTWP,t, hC, STARTANGLE, ENDANGLE, MAXD, TOLERPOPS, tractCP, tractPop,\n",
    "               countyTractList, countyGeom, countyPop, neighborCountyLIST,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    #### NO LONGER USED; SEE FASTER SOLVEWEDGEB BASED ON UNIT-UNIT DISTANCES  *********\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop (which excludes the home tractPop)\n",
    "    The wedge has a fixed starting and ending angle.  Its maximum diameter is angle-related to max diameter of the state map\n",
    "    It uses bisection, NOT scipy minimize to minimize the square error in the wedge pop vs. target\n",
    "    The method passes back the final wedge pop and list of tracts in the wedge\n",
    "    \"\"\"\n",
    "    chgLoopNo, maxLoopNo = 10., 22.  #when we will start relaxing the pop tolerance, and when we give up\n",
    "    includedAngl = ENDANGLE - STARTANGLE\n",
    "    guessedR = MAXD / math.cos(0.5*includedAngl)  #max possible wedge radius, accounting for possible wide angle\n",
    "    popTol = TOLERPOPS[0]  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    #                      We loosen toward half the MAX tractPop if not converging\n",
    "    \n",
    "    offsetPop = 88888888.  #to force a reduction the first time through the loop\n",
    "    dr = guessedR\n",
    "    loopNo = 0\n",
    "    while abs(offsetPop) > popTol and loopNo < maxLoopNo:\n",
    "        loopNo +=1\n",
    "        popTol = max(TOLERPOPS[0], TOLERPOPS[0] + (TOLERPOPS[1] - TOLERPOPS[0]) * (loopNo - chgLoopNo) / (maxLoopNo - chgLoopNo) )\n",
    "        dr = 0.5*dr\n",
    "        guessedR -= dr*np.sign(offsetPop)\n",
    "        \n",
    "        guessedPoly = buildWedge(tractCP[t],STARTANGLE, ENDANGLE, guessedR,XSCALE) \n",
    "        iCP, iClist =  getCountyWP(t,guessedPoly, tractCP, tractPop, countyTractList[hC])\n",
    "        nonCP, nonClist = getNonCWP(guessedPoly, hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyLIST)\n",
    "        offsetPop = iCP + nonCP - nontractTWP\n",
    "        #print(t,loopNo,r5(guessedR),int(iCP),int(nonCP),r3(offsetPop+nontractTWP),r3(nontractTWP),\"t,loop,R,iCP,nonCP,pop,target\")\n",
    "        if loopNo >= maxLoopNo-1:\n",
    "            print(\"WARNING. Looped\",loopNo,\"times for t,angles,R\",t,r3(STARTANGLE),r3(ENDANGLE),r5(guessedR),\n",
    "                  \"wedgePop offset, target are\",int(offsetPop), int(nontractTWP) )    \n",
    "    finalPop = iCP + nonCP\n",
    "    finalList = iClist + nonClist\n",
    "    return finalPop, finalList, guessedR, loopNo\n",
    "\n",
    "#above = bisection.  Below solveWedgeB uses static unit-unit distances\n",
    "# Also tried scipy minimize, which doesn't seem any faster\n",
    "\n",
    "def solveWedgeB(nontractTWP,T, HC, POLLY, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that intersect,\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2x2 array\n",
    "    \"\"\"\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    \n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList = 0, 0, list()\n",
    "    notFull = True\n",
    "    while notFull :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist    \n",
    "\n",
    "def solveWedgeC(nontractTWP,T, HC, POLLY, STARTANGL, ENDANGL, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST, UUANGLE):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that\n",
    "    fall within the angle range (in lieu of wedgeB's check for intersection),\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2D array\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    STARTANGL, ENDANGL = STARTANGL % (2.*pi), ENDANGL % (2.*pi)\n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList, latestDist = 0, 0, list(), 0.00001  #dummy value\n",
    "    notFull = True\n",
    "    while notFull and i < len(UUDIST) - 2 :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if isIncludedA(STARTANGL, ENDANGL, UUANGLE[TT]) : #POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist \n",
    "\n",
    "\n",
    "def getPartialTract(t, HDTRACTLIST, offsetPop, UUDIST, tractPop, neighborLIST):\n",
    "    \"\"\"\n",
    "    If offsetPop is >0, this method identifies the tract with centroid farthest from Home t that can jettison at least offsetPop ...\n",
    "    ... by slicing out part of this tract.\n",
    "    If offsetPop <0, we ID a tract CLOSEST to Home t among neighbors of in-HD tracts to pick up a partial\n",
    "    We return the tractID and its new partial use\n",
    "    We have updated this method to pass the uuDist slice for tract t instead of computing tract distances inside here\n",
    "    \"\"\"\n",
    "    debugGPT = False\n",
    "    NTRACTS = len(tractCP)\n",
    "    bigDist = 9999999.\n",
    "    qualifyingTractList = list()\n",
    "    isWholeTract = False\n",
    "    if offsetPop > 0:\n",
    "        homeDist = [0.]*NTRACTS  #default = 0 to not get picked\n",
    "        for TT in HDTRACTLIST:\n",
    "            if tractPop[TT] > offsetPop:\n",
    "                qualifyingTractList.append(TT)\n",
    "        for TT in qualifyingTractList:\n",
    "            homeDist[TT] = UUDIST[TT]\n",
    "        if len(qualifyingTractList) == 0:  #very rare case where all in-HD tracts are too small.  Jettison nearly the whole farthest one\n",
    "            isWholeTract = True\n",
    "            for TT in HDTRACTLIST:\n",
    "                if tractPop[TT] > 0.9*np.average(tractPop): #set arbitrary min qualifying pop\n",
    "                    homeDist[TT] = UUDIST[TT]\n",
    "        targetT = homeDist.index(np.max(homeDist))\n",
    "        partialUseFrac = max(0.0001,(tractPop[targetT] - offsetPop)/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(\"positive offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    else: #pick up a partial\n",
    "        homeDist = [bigDist]*NTRACTS\n",
    "        for TT in HDTRACTLIST:\n",
    "            for TTT in neighborList[TT]:\n",
    "                if TTT not in qualifyingTractList and TTT not in HDTRACTLIST and tractPop[TTT] > abs(offsetPop):\n",
    "                    qualifyingTractList.append(TTT)\n",
    "        for TTT in qualifyingTractList:\n",
    "            homeDist[TTT] = UUDIST[TTT]\n",
    "        if len(qualifyingTractList) == 0 :  #rare case where most nearby tracts are small.  Add nearly the whole biggest one\n",
    "            isWholeTract = True\n",
    "            maxPop = 0.\n",
    "            targetT = -999\n",
    "            for TT in HDTRACTLIST:\n",
    "                for TTT in neighborList[TT]:\n",
    "                    if TTT not in qualifyingTractList and TTT not in HDTRACTLIST : # we'll take just one, even if doesn't fill gap\n",
    "                        qualifyingTractList.append(TTT)\n",
    "            for TTT in qualifyingTractList:\n",
    "                if tractPop[TTT] > maxPop:\n",
    "                    targetT = TTT\n",
    "                    maxPop = tractPop[targetT]\n",
    "        else:\n",
    "            targetT = homeDist.index(np.min(homeDist))\n",
    "        partialUseFrac = min(0.9999, -1.* offsetPop/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(t,\"'s negative offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    \n",
    "    return targetT, partialUseFrac\n",
    "\n",
    "def getAdjoiners(UNITLIST, UNITNBRS): #returns all units that neighbor a UNITLIST but are not in the UNITLIST \n",
    "    allNbrs = list()\n",
    "    for U in UNITLIST:\n",
    "        allNbrs = allNbrs + UNITNBRS[U]\n",
    "    adjoiners = list( set(allNbrs).difference(set(UNITLIST)) )\n",
    "    return adjoiners\n",
    "\n",
    "def get2nbrs(ULIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    Get the combined list of first- and second-level neighbors of a LIST, using neighborList connectivity.  Excludes the source list\n",
    "    \"\"\"\n",
    "    firstList =  getAdjoiners(ULIST, UNITNBRS)\n",
    "    secondList = getAdjoiners(firstList, UNITNBRS)\n",
    "    twoLevelList = list( set(firstList + secondList).difference(set(ULIST) ) )\n",
    "    return twoLevelList\n",
    "\n",
    "def getContigFromStarter(starter, VLIST, NEIGHBORLIST):  #all contiguous units in VLIST, starting from starter unit\n",
    "    foundList, newList, prevList = [ starter ], [ starter ], [ starter ]\n",
    "    while len(newList) > 0:  #stop looping if no new neighbors found on previous loop\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()        \n",
    "    return foundList   \n",
    "\n",
    "def isContiguous(VLIST,NEIGHBORLIST,returnBiggestPiece=False):\n",
    "    \"\"\"\n",
    "    This method determines if all items in a list form a continuous chain of neighbors based on the passed neighborlist\n",
    "    Empty lists are considered contiguous.  If discontiguous, a less-than-majority piece list is returned,\n",
    "     unless giveBig=True, in which case we return the biggest piece\n",
    "    \"\"\"    \n",
    "    isUnbroken, newList, foundList = True, list(), list()\n",
    "    if len(VLIST) > 0:\n",
    "        foundList, newList, prevList = [ VLIST[0] ], [ VLIST[0] ], [ VLIST[0] ]\n",
    "    while len(newList) > 0:  #this round's list of neighbors\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()      \n",
    "    pickedPieceList = foundList.copy()  #default contiguous sublist to pass back to main\n",
    "    \n",
    "    if len(foundList) < len(VLIST):  #not contiguous\n",
    "        isUnbroken  = False\n",
    "        pieceLists, remainingList = [foundList], list( set(VLIST).difference(set(foundList) ) )\n",
    "        if returnBiggestPiece == True:  #we were asked for the biggest piece, not a random small one, so we must find them all\n",
    "            if len(foundList) < 0.5*len(VLIST):\n",
    "                while len(remainingList) > 0:\n",
    "                    newList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                    pieceLists.append(newList)\n",
    "                    remainingList = list(set(remainingList).difference(set(newList)))\n",
    "                pieceLengths = [len(pL) for pL in pieceLists]\n",
    "                pickedPieceList = pieceLists[ pieceLengths.index(np.max(pieceLengths)) ]\n",
    "            \n",
    "        else: #quickly return a contiguous sub-list that's at most half the total units in the list\n",
    "            if len(foundList) > 0.5*len(VLIST): #pick a different piece; this one is the majority\n",
    "                pickedPieceList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                \n",
    "    return isUnbroken, pickedPieceList\n",
    "\n",
    "def enclaveCheck(UNITLIST,UNITNBRS,maxLoops=4):\n",
    "    \"\"\"\n",
    "    This method determines if a list of units has an unbroken boundary AND whether its complement has an unbroken boundary\n",
    "    If the complement boundary is broken, there is an enclave or the district is so disconnected its adjoining units aren't contiguous\n",
    "    The method returns contiguity of boundary and of its adjoiners.  Also returns the lists of boundary and complement-boundary units\n",
    "      If either of these is broken, only a contiguous sublist is returned that is guaranteed to be smaller than half (for finding enclaves)\n",
    "      maxLoops is the number of loops for expanding neighbors-of-neighbors for contiguity of the units outside the passed unit-list\n",
    "    \"\"\"\n",
    "    UNITSET = set(UNITLIST)\n",
    "    ADJLIST =  get2nbrs(UNITLIST, UNITNBRS)  #in case direct adjoiners are only queen-adjacent\n",
    "    #adjoinersOfAdjoiners = getAdjoiners(ADJLIST,  UNITNBRS)\n",
    "    #BDRYLIST = list( set(UNITLIST).intersection(set(adjoinersOfAdjoiners)) )  #this might fail for queen-adjacent boundary units\n",
    "    BDRYLIST = list (set(get2nbrs(ADJLIST,UNITNBRS)).intersection(UNITSET) )  #in case inHD boundary is only queen-adjacent\n",
    "    noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)  \n",
    "    unbroken, smallPieceList = isContiguous(BDRYLIST, UNITNBRS)\n",
    "    if not unbroken: #could be that district's boundary intersects the state boundary or there is a nonHD enclave inside the HD\n",
    "        unbroken, smallPieceList = isContiguous(UNITLIST, UNITNBRS)  #slower check for full district, not just its boundary \n",
    "    nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "    while nLoops <= maxLoops and not noEnclave:\n",
    "        nLoops +=1\n",
    "        newSet = set(ADJLIST)\n",
    "        for UU in ADJLIST:\n",
    "            newSet = newSet.union( set(UNITNBRS[UU]).difference(UNITSET) )\n",
    "        ADJLIST = list(newSet)\n",
    "        noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)\n",
    "    #isJiggy = noEnclave and unbroken\n",
    "    return unbroken, noEnclave, smallPieceList, enclaveList\n",
    "\n",
    "def avoidedEnclave(UNITLIST, UNITNBRS, ADDLIST,MAXLOOPS=15):  #20 is arbitrary, but does suppress slender chains\n",
    "    \"\"\"\n",
    "    This method (new for WI 5-23-24) is designed as a shorter check than enclaveCheck for legitimacy of adding ADDLIST to UNITLIST\n",
    "    It tries to find contiguity among all ADDLIST's neighbors that won't be in the UNITLIST after the add.\n",
    "    It does this in successive loops, growing from one non-UNITLIST neighbor in loops to all its non-UL neighbors\n",
    "    If success before MAXLOOPS, it returns True (i.e. this list addition avoided forming an enclave), else it returns False\n",
    "        Note that this method will not usually allow a UNITLIST that doesn't currently touch map border to start touching it\n",
    "        (too many loops to go all the way around the UNITLIST to find the complement's connection)\n",
    "    \"\"\"   \n",
    "    willBeInUnitSet = set(UNITLIST+ADDLIST)\n",
    "    nbrsOfADDLIST = set()\n",
    "    for U in ADDLIST:\n",
    "        nbrsOfADDLIST = nbrsOfADDLIST.union(set(UNITNBRS[U]))  #these are the neighbors of the units we plan to add to UNITLIST\n",
    "    nbrsOfADDLIST = nbrsOfADDLIST.difference(willBeInUnitSet)\n",
    "    if len(nbrsOfADDLIST) == 0:\n",
    "        raise Exception(\"ERROR! Attempted to add list\",ADDLIST,\"but it should have been flagged previously as an enclave\")\n",
    "    firstNo = next(iter(nbrsOfADDLIST))  #pick one of these non-UL neighbors as a starter\n",
    "    firstGroup = getContigFromStarter(firstNo, nbrsOfADDLIST, UNITNBRS) #first find all neighbors that directly connect\n",
    "    foundNbrSet, foundTotalSet, newFoundSet = set(firstGroup),set(firstGroup),set(firstGroup)\n",
    "    LOOPNO = 0\n",
    "    stillConnect = False\n",
    "    if len(foundNbrSet) == len(nbrsOfADDLIST):  #ALL non-UNITLIST neighbors still DIRECTLY connect after the add\n",
    "        stillConnect = True\n",
    "    while len(newFoundSet) > 0 and LOOPNO <= MAXLOOPS and not stillConnect:\n",
    "        LOOPNO +=1\n",
    "        lastFoundSet = newFoundSet\n",
    "        newFoundSet = set()\n",
    "        for U in lastFoundSet:\n",
    "            newFoundSet = newFoundSet.union(set(UNITNBRS[U]))\n",
    "        newFoundSet = newFoundSet.difference(willBeInUnitSet)\n",
    "        \n",
    "        foundTotalSet = foundTotalSet.union(newFoundSet)\n",
    "        foundNbrSet = foundTotalSet.intersection(nbrsOfADDLIST)  #running list of complement-connectable non-UL neighbors of ADDLIST\n",
    "        if len(foundNbrSet) == len(nbrsOfADDLIST):  #ALL non-UNITLIST neighbors still connect after the add\n",
    "            stillConnect = True\n",
    "    return stillConnect\n",
    "              \n",
    "\n",
    "def avoidedIsland(UNITLIST, UNITNBRS, SHEDLIST,MAXLOOPS=15):\n",
    "    \"\"\"\n",
    "    analogous to avoidedEnclave but for shedding a list from UNITLIST; we look to connect in-UNITLIST neighbors after the proposed shed\n",
    "    \"\"\"\n",
    "    shrunkSet = set(UNITLIST).difference(set(SHEDLIST))  #shorthand for the proposed unitlist after shedding\n",
    "    nbrsOfSHEDLIST = set()\n",
    "    for U in SHEDLIST:\n",
    "        nbrsOfSHEDLIST = nbrsOfSHEDLIST.union(set(UNITNBRS[U]))\n",
    "    nbrsOfSHEDLIST = nbrsOfSHEDLIST.intersection(shrunkSet)\n",
    "    if len(nbrsOfSHEDLIST) == 0:\n",
    "        raise Exception(\"ERROR! Attempted to shed list\",SHEDLIST,\"but it was never connected to the rest of the unit list\")\n",
    "    firstNo = next(iter(nbrsOfSHEDLIST))  #pick one of these still-in-UL neighbors as a starter   \n",
    "    firstGroup = getContigFromStarter(firstNo, nbrsOfSHEDLIST, UNITNBRS) #first find all neighbors that directly connect\n",
    "    foundNbrSet, foundTotalSet, newFoundSet = set(firstGroup),set(firstGroup),set(firstGroup)\n",
    "    LOOPNO = 0\n",
    "    stillConnects = False\n",
    "    if len(foundNbrSet) == len(nbrsOfSHEDLIST):  #ALL in-UNITLIST neighbors of the shedlist still DIRECTLY connect after the shed\n",
    "        stillConnects = True\n",
    "    while len(newFoundSet) > 0 and LOOPNO <= MAXLOOPS and not stillConnects:\n",
    "        LOOPNO +=1\n",
    "        lastFoundSet = newFoundSet\n",
    "        newFoundSet = set()\n",
    "        for U in lastFoundSet:\n",
    "            newFoundSet = newFoundSet.union(set(UNITNBRS[U]))\n",
    "        newFoundSet = newFoundSet.intersection(shrunkSet)\n",
    "        \n",
    "        foundTotalSet = foundTotalSet.union(newFoundSet)\n",
    "        foundNbrSet = foundTotalSet.intersection(nbrsOfSHEDLIST)\n",
    "        if len(foundNbrSet) == len(nbrsOfSHEDLIST):  #all in-UNITLIST neighbors still connect after the shed\n",
    "            stillConnects = True\n",
    "    return stillConnects\n",
    "\n",
    "def getBdryNonEdgers(UNITLIST, UNITNBRS): #all in-district boundary units that neighbor a non-district unit\n",
    "    ALLnonHDnbrs = set()\n",
    "    for UUU in UNITLIST:\n",
    "        ALLnonHDnbrs = ALLnonHDnbrs.union(set(UNITNBRS[UUU])).difference(set(UNITLIST))\n",
    "    BdryNonEdgerSet = set()\n",
    "    for UUU in UNITLIST:\n",
    "        if len(set(UNITNBRS[UUU]).intersection(ALLnonHDnbrs)) > 0:\n",
    "            BdryNonEdgerSet.add(UUU)\n",
    "    return list(BdryNonEdgerSet)\n",
    "\n",
    "def getEnclaveLists(UNITLIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    finds ALL units enclaved by a UNITLIST, parsed into lists of contiguous pieces\n",
    "    We assume the largest contiguous complement to the UNITLIST is not an enclave, but rather the majority of the HD complement\n",
    "    if the UNITLIST's complement (all couldBeEnclaved) is contiguous, the returned list will be blank\n",
    "    \"\"\"\n",
    "    eSets, nU = list(), len(UNITNBRS)\n",
    "    offmapList = list()\n",
    "    for i,L in enumerate(UNITNBRS):\n",
    "        if len(L) == 0:\n",
    "            offmapList.append(i)  #offmap list are units with no neighbors (were surrounded)\n",
    "    complementSet = set([i for i in range(nU)] ).difference( set(UNITLIST + offmapList) )    \n",
    "    remaining2nbrs = get2nbrs(UNITLIST, UNITNBRS)\n",
    "    \n",
    "    isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS) #quicker than contig check on entire complement\n",
    "    while not isContig:  #this will kick out before writing the final sublist = map majority\n",
    "        starter = shortList[0]\n",
    "        newEnclaveList = getContigFromStarter(starter, list(complementSet), UNITNBRS)\n",
    "        eSets.append(set(newEnclaveList))\n",
    "        remaining2nbrs = list(set(remaining2nbrs).difference(set(shortList)) )\n",
    "        isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS)\n",
    "        \n",
    "        # couldBeEnclaved = list( set(couldBeEnclaved).difference(set(newEnclaveList)) )  #revised 18-Feb-24 -- was slower\n",
    "    fused_eSets = set()\n",
    "    for i, eSet in enumerate(eSets):\n",
    "        fused_eSets = fused_eSets.union(eSet)\n",
    "        for j in range(i+1, len(eSets) ) :\n",
    "            eSets[j] = eSets[j].difference(eSet)  #in case contiguity occurs, but not in 2-neighbor list; avoid double-count\n",
    "    remnant_eSet = complementSet.difference(fused_eSets) \n",
    "    eLengths = [len(eSet) for eSet in eSets]\n",
    "    if len(eSets) > 0:\n",
    "        if len(remnant_eSet) < np.max(eLengths):  #exchange the small remnant for the biggest found \"enclave\" (usually the major complement) \n",
    "            eSets[eLengths.index(np.max(eLengths))] = remnant_eSet.copy()\n",
    "    eLists = [list(eSet) for eSet in eSets]\n",
    "    return eLists\n",
    "\n",
    "def wontEnclave(proposedU, dList, NBRLIST, mapBDRYLIST):\n",
    "    \"\"\"\n",
    "    This method checks if adding a proposedU to a dList (list of units in a district) will create an \"enclave\" of units in the dList's complement\n",
    "    via two problems:  A) the dList will now have a discontiguous set of units on the map boundary.  The full map boundary list is mapBDRYLIST\n",
    "      B) The non-dList neighbors of dList units aren't contiguous\n",
    "    The method doesn't require that the dList wontEnclave without the proposedU included; it just checks the proposedU + dList combination\n",
    "    It also doesn't check that the dList is itself contiguous with or without proposedU\n",
    "    In that sense, it is more limited than enclaveCheck\n",
    "    \"\"\"\n",
    "    wontEnclave = True\n",
    "    newList, newSet = dList + [proposedU], set(dList + [proposedU])\n",
    "    unitsOnBoundary = list( set(mapBDRYLIST).intersection(newSet) )\n",
    "    wontEnclave, __ = isContiguous(unitsOnBoundary,NBRLIST)  #first check - does district touch MAP boundary in multiple places? (quick FAIL)\n",
    "    if wontEnclave: #slower check below for internal enclaves\n",
    "        adjoiners = get2nbrs(newList, NBRLIST)  #2-level to protect for queen adjacency in boundary        \n",
    "        wontEnclave, __ = isContiguous(adjoiners,NBRLIST)\n",
    "        if not wontEnclave:\n",
    "            nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "            maxLoops, ADJLIST = 6, adjoiners #unlike enclaveCheck, here we just arbitrarily set a number of loops for search expansion\n",
    "            while nLoops <= maxLoops and not wontEnclave:\n",
    "                nLoops +=1\n",
    "                adjSet = set(ADJLIST)  #align nomenclature w enclaveCheck\n",
    "                for UU in ADJLIST:\n",
    "                    adjSet = adjSet.union( set(NBRLIST[UU]).difference(set(newList)) )\n",
    "                ADJLIST = list(adjSet)\n",
    "                wontEnclave, __ =   isContiguous(ADJLIST, NBRLIST)\n",
    "        \n",
    "    return wontEnclave\n",
    "\n",
    "def isRookAdj(geo1, geo2):  #intersection with rook (not queen) adjacency\n",
    "    isRookAdj = False\n",
    "    if geo1.intersects(geo2):\n",
    "        if (geo1.intersection(geo2)).geom_type != Point(0,0).geom_type:\n",
    "            isRookAdj = True\n",
    "    return isRookAdj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d041d328-83e0-45db-a869-e0956c23ee26",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the state postal code; e.g. OH  OH\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, enter 1 below to use oh_pl2020_vtd.dbf as this state's population data file\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "  1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempting to read in state unit geometries.  Stand by ...\n",
      "I read in the Census popn data. OH has 11799448 peeps and is divided into 8941 shapes.\n"
     ]
    }
   ],
   "source": [
    "STATE = str(input(\"Enter the state postal code; e.g. OH \")).upper()\n",
    "popFilename = STATE.lower()+\"_pl2020_vtd.dbf\"\n",
    "print(\"OK, enter 1 below to use\",popFilename,\"as this state's population data file\")\n",
    "enter1 = input(\" \")\n",
    "if int(enter1) != 1:\n",
    "    popFilename = input(\"OK, then enter the pop data file.  Typically a xx_pl2020_vtd.dbf\")\n",
    "print(\"attempting to read in state unit geometries.  Stand by ...\")\n",
    "tractPopFile = gpd.read_file(\"state_map_files/\"+popFilename)\n",
    "trueTractGeom = tractPopFile['geometry']\n",
    "nTracts = len(trueTractGeom)\n",
    "tractPop = tractPopFile['P0010001']\n",
    "statePop = np.sum(tractPop)\n",
    "censusGEOID20 = tractPopFile['GEOID20']\n",
    "print(\"I read in the Census popn data.\",STATE,\"has\",statePop,\"peeps and is divided into\",nTracts,\"shapes.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3bfdea9d-b0ea-497a-a556-6b488a3e333e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the number of districts in the state.  My guess is 16 15\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 88 counties in OH .  I will assign them county Nos 0 - 87\n"
     ]
    }
   ],
   "source": [
    "tractGeom = trueTractGeom.copy()   #for some states, we will modify geom, so preserve original\n",
    "#tractNAME20 = tractPopFile['NAME20']\n",
    "tractPop = tractPopFile['P0010001']\n",
    "tractVAP = tractPopFile['P0030001']\n",
    "tractWhiteVAP = tractPopFile['P0030003']  #this is within 2% of VEST's vap_white\n",
    "inputfileCountyNo = tractPopFile['COUNTYFP20']\n",
    "vtdGEOID20 =  tractPopFile['GEOID20'] \n",
    "nDistricts = int(round(statePop/760000,0))\n",
    "nCutDistricts = 0\n",
    "nDistricts = int(input(\"Enter the number of districts in the state.  My guess is \"+str(nDistricts)))\n",
    "tractArea = [tractGeom[t].area for t in range(nTracts)]\n",
    "trueTractCP =   [tractGeom[t].centroid for t in range(nTracts)]\n",
    "tractCP = trueTractCP.copy()  #for some states, we move secluded corners into the map, so save the true data\n",
    "tractCPx =  [tractCP[t].x for t in range(nTracts)]\n",
    "tractCPy =  [tractCP[t].y for t in range(nTracts)]\n",
    "inputCountyNumbers = list()\n",
    "for t in range(nTracts):\n",
    "    if inputfileCountyNo[t] not in inputCountyNumbers:\n",
    "        inputCountyNumbers.append(inputfileCountyNo[t])\n",
    "nCounties = len(inputCountyNumbers)\n",
    "print(\"There appear to be\",nCounties,\"counties in\",STATE,\".  I will assign them county Nos 0 -\",int(nCounties-1))\n",
    "sortedICNs = list(np.sort(inputCountyNumbers))\n",
    "countyNo = [sortedICNs.index(inputfileCountyNo[t]) for t in range(nTracts) ]\n",
    "\n",
    "isSkippedTract = [0] *nTracts  #this will house a temporary list of tracts for manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "adffc7a4-a78c-477f-8ea4-7f8e5109fa2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now build the county-by-county geometries, hoping there are no islands\n",
      "Building county geom for county 0\n",
      "Building county geom for county 20\n",
      "Building county geom for county 40\n",
      "Building county geom for county 60\n",
      "Building county geom for county 80\n",
      "Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop < 4.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 7 unpopulated coastal tracts.\n",
      "Lets plot them and their parent counties\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"We will now build the county-by-county geometries, hoping there are no islands\")\n",
    "skipList = list()  #a list of units we previously know to skip in the map\n",
    "isAlteredCounty = [False for c in range(nCounties)]\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "countyPop =       [0. for c in range(nCounties)]\n",
    "countyGeom =      [dummyPoly for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    if t not in skipList:\n",
    "        c = countyNo[t]\n",
    "        countyTractList[c].append(t)\n",
    "        countyPop[c] += tractPop[t]\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Building county geom for county\",c)\n",
    "    for t in countyTractList[c]:\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            countyGeom[c] = tractGeom[t]\n",
    "        else:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "origMAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    origMAP = origMAP.union(countyGeom[c])\n",
    "    if countyGeom[c] == dummyPoly:\n",
    "        print(\"WARNING! county\",c,\"is empty!\")\n",
    "    else:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "minTractPop = 4.5\n",
    "print(\"Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop <\",minTractPop)\n",
    "plt.show()\n",
    "if origMAP.geom_type == dummyPoly.geom_type:\n",
    "    mapExterior = origMAP.exterior\n",
    "else:\n",
    "    for i,geo in enumerate(origMAP.geoms):\n",
    "        if i == 0:\n",
    "            mapExterior = geo.exterior\n",
    "        else:\n",
    "            mapExterior = mapExterior.union(geo.exterior)\n",
    "\n",
    "for c in range(nCounties):\n",
    "    for t in countyTractList[c]:\n",
    "        if tractPop[t] < minTractPop:\n",
    "            if tractGeom[t].intersects(mapExterior):\n",
    "                isAlteredCounty[c] = True\n",
    "                skipList.append(t)\n",
    "print(\"There appear to be\",len(skipList),\"unpopulated coastal tracts.\")\n",
    "if len(skipList) > 0:\n",
    "    print(\"Lets plot them and their parent counties\")\n",
    "    for t in skipList:\n",
    "        plotPoly(tractGeom[t])\n",
    "        plotCenter(t,tractGeom[t],6)\n",
    "    plotPoly(origMAP,0.2)\n",
    "    for c in range(nCounties):\n",
    "        if isAlteredCounty[c]:\n",
    "            plotPoly(countyGeom[c])\n",
    "    plt.show()\n",
    "trueMAP = origMAP  #use these terms interchangeably"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7a6c93c4-af08-47d5-90f7-dc0b4513aad5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last chance to alter the skipList, otherwise the above 7 units will be axed\n",
      "here is the proposed skipList [8197, 4634, 3730, 4458, 840, 2974, 1008]\n",
      "here is the final skipList [8197, 4634, 3730, 4458, 840, 2974, 1008]\n"
     ]
    }
   ],
   "source": [
    "print(\"Last chance to alter the skipList, otherwise the above\",len(skipList),\"units will be axed\")\n",
    "print(\"here is the proposed skipList\", skipList)\n",
    "#skipList = [1939, 1364] #...  #alter here if needed - 1874, 1270, 1497, 1771 create contiguity problems if axed\n",
    "print(\"here is the final skipList\", skipList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2989f381-466b-4882-bf1d-cfa37a7ba8ef",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now preserve the original county unit lists and geoms, then rebuild as needed\n",
      "removing coastal units from countyNo 3\n",
      "removing coastal units from countyNo 17\n",
      "removing coastal units from countyNo 21\n",
      "removing coastal units from countyNo 42\n",
      "removing coastal units from countyNo 46\n",
      "removing coastal units from countyNo 47\n",
      "removing coastal units from countyNo 61\n",
      "Here is the revised state county map after eliminating coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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UFqoTJCor/9///seyZcvYt28fISEh9OzZk2nTptGuXTsURUGWZa688krWrFnjcgz33nsvs2fP9vq3iMs6y9O/HaFHdARD4qJq3qEa8vPzGT1ad298/vnnneWKopCQ4CpOLFmyhFGjRrktrKj2aaLI/DynsPLqP+7kVNJATgFfZ2bTNNjM6qw8DhaV8HJKM1qEBKEJwbQDaXySnsX7J05zVUwEj1/UmC4RoV4da33z3sB3WLDq3zQIimFXUBPW/R5Ni+XfAvDSjZ0Z1aNZPY/Q4HyjMLeULd8e4o91JwmJtHDlrW1p2ysBuZbTnNu2bWPTpk0ATjsQB4cOHaJFixYV9lEVCeXyOB79e8cK28rz0IeLSQ1y795RW+bOnevX9gMJQ2Bxg2PFpfyYlceQhpEkBln0t3u7gBAky5glqdwbftnbvqPc7CJslK2bzlk3S2CSy+rKtXjDHrPyZ7bKCn//+999+hts27aNhx9+mB49emCz2XjiiSe49tpr2bVrFxaLxVnv7rvv5tlnn3Wuh4b65oEbZp9PLrTZvG7rgQceYPjw4QwcONBFYDmXrVu3kpqayttvv+1224ok8XJKUyYCj7w9n8uSmvD18VPO7VP2n3Cp32vjn7QODeKsVeW01cYDSY3oHhnK8wfSGLxlL4NiI3mqZSJtwqpXUQcay97ZQUiEhT79YuhxaBcAKcXvU0LZuRIXcYEkhTOoE0qLbaSuPMr2VcdQFImeIy+i05VNMVs893hbvXq1c7l///4ID7MQC0m3T6kJkwBNNozbfYUhsLiBQ3B4ICmeHlFh9Tya6jFJoPlBA7l8+XKX9ffff59GjRqxdetW+vXr5ywPDQ2toKXwBaEWXWApUlWv2vnkk0/Ytm0bmzdvrrHu3LlzadeuHX369PGoj1sTG/LPxrHOKZ2nWzchvcRKnk0ls9RKuEkhRJb58Uwup602ilSNSJPCwNhIutvPr8ENo/gqM5sZB9Po/+turoqNZPJFjekQHuL5QdcDB7frQtofa2FV4uvsLQx3Cisz+j5DXOgZejX/qT6HaHAekX4wh+VzdlKcb6XzlU3pNqQ5wWHeG8XWFk2WcGcWXRYC9QKY2g0UDIHFDRzyseahFF4fKJJEXXj+5+TkABATE+NS/tFHH7FgwQISEhIYMWIEU6ZM8YmWxaFhKfYicuSxY8d4+OGHWblyZY1GdUVFRSxcuJApU6bUqq9z7U8SgswkBJlpXU5TUp3WRJEkbohvwPC4KD5LP8tbRzMYsHkPA2Iieah5I3pF+1fN7C3/eqs/X7/5Gxdf3Yy7gpPYtHorK79ezg2HfiZkg5ncKa0JDjamgwxqZtf6k6z5ZA/xzSO58bHuRMTUv7ZRSCDUmp8HCqBJhobFVxi/pBs4bLi8MUtVVZUpU6aQnJxMSEgILVu25LnnnnNRRd5+++1IkuTyGTJkiEf9mCTJ7xK9pmk88sgjXHbZZS7GbP/4xz9YsGABP/30E5MnT+bDDz/kn//8p0/6lGUZRVUp8kJg2bp1K5mZmXTr1g2TyYTJZGLNmjW88cYbmEwm1HLam8WLF1NYWMhtt93mi+HXmiBZ5p+Jsay7tB1vtUvieEkp123fz3Xb9rHydE5ACtG5pzNRbSWMuOMi5FlTOXjNCOJemco/9qwiuLQIkZHLJX2/vCCMig38h6pqrF+8j58W7KZdn0RGjr84IIQVsAssbl97gXeNnq8YGhY3kO0aC28eDi+++CKzZs1i/vz5dOjQgS1btjB27FiioqIYN26cs96QIUOYN2+ecz0oyLN5fkXC7xqWBx54gJ07d7J+/XqX8vKRITt16kTjxo0ZMGAABw4coGXLll73axIqxW681VSFO+6NDubOncu1115LXFxcrfvzJWZZ4m8JMdwQ34DvT+fy+pEMbt1xiNahQdzTLI6/xccQEgCB4HIy0/m/h+5CMZkYvHUPAGF9+6IVFVG0dSsRgwaR8PQU5Bo0XAZ/bfKyivn+/3aSeTiPvqNa0+Wq2mvjVE3jzS93U5Rn1d2NHbcQTZTJEqLcsgbg8FE+Z5t9PaREoLlhw2LgWwyBxQ0cGhZvTs9ffvmFkSNHMnz4cABatGjBxx9/zK+//upSLygoyCsbEIskYfOjkdeDDz7IN998w9q1a2natGm1dXv27AnA/v37fSOw2IPC1Zaa3Bsd7N+/n7Vr1/Ldd9/Vui9/IUsSQ+KiGNwwks05Bbxz/BSP7TnOUxu2Y573Nuk/r8VWXESrVq2Y99579OjRA4AvvviC2bNns3XrVrKysti+fTtdu3b1+fgi4+JJ6tiF7sOvI77YytE77qRg/XqEohD70EM0uv8+jzUrjjdZQyNzYSOE4MCBA6xduZGinfGER4Vy/aPdSLjIO6/AQ5kFmL9PxwwUhukvJUICJPs9XcLpmuwoB6lsuVw9JD33ckGsmS7tY2vu3DhlfYohsLiBw+jWG4G6T58+zJkzh71799KmTRt+++031q9fz6uvvupSb/Xq1TRq1IgGDRpw1VVX8fzzzxMb68aFYSdChhKTmWe27KRnQkOGNPWNAawQgoceeoglS5awevVqkpOTa9wnNTUVgMaNG3vdf3ZRMQWWIIq1Qq/bqon33nuPpk2bMmjQIJfyzek5fLU7gxKbilXVUDXdjVkVAk2ATdVQAU1zlAk0Rx1NoFmtRBdm0jzSitBUhKqipJ9AKSyguGlz3etACITQ9Ie0ptnXhf0tT7O/FZZ9YoTGyPx8Fr7xOkkXXcTIW/5BaGgIBRnpfLb4cw4dOkRcXBxbtmzhoosu4rLLLvNJyPGqkCSJm6ZMA6B4924Actu1Z/I1N/P+P0bWKHR89OdHzPptFpfEX8IDXR9AkRVGfjmSkS1H8nzfqj26DM5f0tLS2LNnD3/++ScZGRlEWJsRpMrc/OSlPjGsLbXqU70X3ZnC0B5NvG7PoP4wBBY3cOgrVC+mhCZNmkRubi5t27ZFURRUVWXatGmMHj3aWWfIkCHccMMNJCcnc+DAAZ544gmGDh3Khg0bKg1eVBmtwkIgR2NWno1Zeemk+0hgeeCBB1i4cCFfffUVERERpKfrMUaioqIICQnhwIEDLFy4kGHDhhEbG8vvv//O+PHj6devnzN/hzfM/0OfXoiz+PaULe/e6OCFF17ghRdecCmbsekQs5f+CfYpKeF47trfuqRyyzi+ym2TJAlKbZhUQeOGR3VXR1khvLAAAFtxCciyXl+WQZaQzBKSJOv7yvq3LOnbZElGkiVkWWbDxwtokJDA35+YgipJZJTaaGFSuDwimPSTJzl8+DDh4eFYLBbOnj0L6BoXq9VKly5dXNzSfUlw27a02/0nQgjuzzhLUkj105tb0rcw49cZAPxw9Ad+OPqDc1ur6FZV7WZwnnL27FmWLl3KoUOHCA4OpkWLFgwZMoQ/f07j4PoigkJ9c62X2nStrMlUD1OmknRBmbB46v7tawyBxQ18YXS7aNEiPvroIxYuXEiHDh1ITU3lkUceITExkTFjxgC4xE7p1KkTnTt3pmXLlqxevZoBAwa41c8/u3dhcH4BV234A5sPr5RZs2YBesyC8sybN4/bb78di8XCqlWrmDlzJgUFBTRr1owbb7yRp556yif9l9g0QOLpXt1qrOtrnlqzlw+X7SMmIYwld/SkUYgFiyKjVBJBtzr+s3AtC38/y0uPTvDp+BY9M4Ubhgzmt08WsGbNGpo0acL999/P0L/d7VJPVVX27t3L66+/TnBwMN999x1r1qxhyJAhFabKfIkk6fY31WHTbIxdMRaAUW1G0adJH9afWM+PR38kqziLXom9/DY+g7pFCMHvv//Od999R3BwMDfffDNt2rRxvpTt3ZiJhITNZvNJPh+rQ2BRjPkZbwiEKVlDYHEDxQdGtxMnTmTSpElOoaRTp04cOXKE6dOnOwWWc7noooto2LAh+/fvd1tgAYgLD6OZWkKu99H2ndQkWTdr1qxClFtf4uhdqeOsx69tOcyHK/fTqGkEq++5jLBaBKlyoMgSAgkhhE8v/oMHDzJr1iwmTJjAE088webNmxk3bhwWi8Xl3FIUhZAQPY7LsGHDaN68OStXrmTx4sXIsuzTVPRCCI4cOcL+/fuxWCxcfvnl1R6zSTbx7+7/5r9b/8uivYtYtHcRAO1i2pFVnEVOSY7PxmZQf+Tn5/PNN9+we/duOnXqxPDhwyuEGFDsxuM2m+ojgUW/e5jP0bBMnz6dL774gt27dxMSEkKfPn148cUXSUlJAeDw4cNVTn0vWrSIm266yeuxGXiGIbC4geM+642+orCwEPkcY1hFUarN4XP8+HHOnDlTKxsQGe80QoGGnvRAqlMbtv+s38/73+whvGEwC/7R3SthBfTzSPODwKJpGpdccolzGuviiy9m586dzJ49u0phGKBBgwbcdNNNfPTRRyxevJjbb7+dpKQkn4xn8eLF7Nq1y1lWWFjI4MGDqz3u2zvezqiUUew5u4fblunu5GeKz/BC3xfo2bin1+MyqF/++OMPvv1WT8swatSoKgVkR4h9m9UKId57k1ntoRDOFVjWrFnDAw884BK9e9CgQezatYuwsDCaNWtGWhW5xYYOHepm7/WvlbiQMAQWNyhza659GyNGjGDatGkkJSXRoUMHtm/fzquvvsodd9wB6G8ezzzzDDfeeCMJCQkcOHCAxx57jFatWjF4sOcZdi+0y8Tx29cmXYEn5BZbefynPSzfcAxRqhGbGMavD/TD5AOXYX+NvHHjxhVu/u3atePzzz+veUySxC233MKrr77KsmXL+Mc//kFERIRX4ykuLmbXrl0oisKTTz7Jr7/+yvLlyyksLGTIkCHVBhIMNYdycaOL2TFmB1bNilmuv2imBr5j+fLlbNy4kTZt2nDttddWm5vLZLdTmz/pl3MuGtcrSEhQIpv0N4FzLy7hsDOTkDVBMBB0jsBSU/RuX+QWC4QMxxcShsDiBmU2LLU/8d58802mTJnC/fffT2ZmJomJidx77708/fTTgK5t+f3335k/fz7Z2dkkJiYyaNAgnnvuOY9jsYB+nVxYGhadc7VUvkDTNF7/9QhzNxwmP0P3QmrcIooeyTE8ftlFPhFWoGwO2NeGa5dddhl79uxxKdu7dy/Nmzd3a39F0XNPffrpp8yaNYvhw4fTvn37WmuBQkNDCQ8PJz8/H4BevXphNpv5/vvvOX78OLfddhvR0dE1tmMIK+c/2dnZzJw5E4D4+Hj+/ve/13gNX3x5a86k5WCzSfZwKKLct7CHQhFkWFU2BIeQbDGRGBpM+dNVKneJSYAp1ESn5tHV9ltV9G4HtcktduG9OtYvhsDiBmVeQrVvIyIigpkzZzov3nMJCQlhxYoVte/gHOQLyzjdL9bp/9t2lHk/H+LMmSK0YpXgBkEMu6I5beMieLBbM78IR/5g/Pjx9OnThxdeeIFRo0bx66+/MmfOHObMmeOsk5WVxdGjRzl58iSAU8BJSEggISGBZs2a8a9//Yuvv/6azz77jMTERPr160ebNm08/h2KiorIz8+nZcuWzn27d+9OcnIyH3zwAQsWLGDIkCEEBwdz+vRpTp8+ze+//05CQgLx8fHExcXRunVrp72NwflDUVER+/bt4+DBg86wBkFBQfTq1Yv+/fu7JQRHRIdy/T39aqy3Yv8hZhzLYVxyLFe08C7NQ1XRu8tT29xiBr7DK4FlxowZTJ48mYcfftj5IJ4zZw4LFy5k27Zt5OXlcfbs2RrfpqZOncozzzzjUpaSksJuexyH+kaxX2TeuDXXNRIgLiDpXgD46Pc/U1TKsPc3kXEkF0uDINq1iWVYu3ju79rMr5bwTlsoH59HPXr0YMmSJUyePJlnn32W5ORkZs6c6eIyv3TpUsaOHetcdxh//+c//3HGZQkPD+eWW27h0KFD/Pjjj3zyySfExsYyYMAAUlJS3HKtz8jI4Msv9bD758axiYmJYfTo0Xz22WcsWLDAWV7eNT4tLY28vDxiYmK47777fGJ0aeBfNE1j3759bN68mYMHD6JpGvHx8QQHB3PppZdy2WWX1UpLXGO/9uvIF9PEVUXvdlDr3GIXzi04IKi1wLJ582beeeedCjE2HPPUQ4YMYfLkyW6316FDB1atWlU2MFPgKH/Ox3NOdkRqvEDQTW69f9DnlVq54n/ryc8qZvSQ1jzXr1WdaVIke5RMf2iLrrnmGq655poqt99+++3cfvvtbrWVnJzMnXfeyc6dO9m0aROLFi0iIiKCLl260KxZMxITE13sXDRNIyMjg99//51NmzbRoEEDxo4dS3x8fIW24+LiuO+++8jIyECSJCIiIirYtKxZs4affvqJ3Nxcj4ImGtQ9e/bsYcWKFWRlZdGkSROGDBlC27ZtiYyM9HvfjqvI29ucO9G7AyW32F+dWkkF+fn5jB49mnfffZfnn3eNPvnII48AlQfkqnYgJpNXIen9idP2oJ7H4QkScEqxcM3ydc5xXxoZyn/6dK/PYdUageu8dG2Z9/tJ8k8V8dhNHbm/u3s2Hr5C9pMNi7/o2LEjHTt2JD09nc2bN7Nt2zaXN9CoqChkWSYnJwdN0zCbzfTv358+ffpU+8IhSZLzWhdC8Mcff/DZZ5/RrVs3mjdvzk8//URsbKxbdi5/FfRzRlBYeJCssxvIzf2N4uKTKEowQmgkNv4bFsslFBaqJCYm+lVTuHbtWl544QU2bdpEdnY2Dz/8MI8++qjzYV9V3y+99BITJ0702Tgcl1FtNSyeRO+ufW6xC2xuvp6plcDywAMPMHz4cAYOHFhBYKkt+/btIzExkeDgYHr37s306dOrdLEsKSmhpKTEuZ6bm+uTMVSF4/07EDPjVsXgRtGcSD/LGXTh5WBwBAdzi/hPfQ+slug3bO9vwjvScxHAHV2qz4PkNwSs/GQBiqK4aFuEPSlbw8Qm9Bo4qPo26piEhARGjBjBNddcQ3Z2NseOHWP37t2YzWbCwsKIjo4mLi6OZs2aOQWV4uJiDhw4QE5ODm3atMFqtfLDDz+wf/9+QJ9+io6Oxmq1kpGRAcC2bdvYtm0boAtL7kZ3vlBR1SJyclM5lbmC4yc+dJZLkpmI8HaEhCSRk7ON4pKTZGWtQwgze3b3pLS0K+3bt6dly5bExsY6BcvqsNlsZGdnk5+fT2lpqTNoW0xMDNHR0c7o3GlpaaxatYqioiKuvfZaPvjgA6644goXzcS5rsDLli3jzjvv5MYbb/Tp7+O4H9f2rlBT9G4H3uQWi7VmMDZ7GQWvvFsW/lpyfGRAj1it5y6SndskxzKy3evDXl8qty4r9jL7t6zoy1Au1HZ5JFwskx3bKxX4HJkfsUuGguCg40iiyOPfwJd4LLB88sknbNu2jc2bN/tsED179uT9998nJSWFtLQ0nnnmGS6//HJ27txZqYvl9OnTK9i8+BNfRLqta+6+uCPl45yOXfUzm2q4tIUjbw1U+C6/7Igd47LN7ncsKLefcN2vyrZFZdvKfm0hBCXFpYB38+B5pVY2HTiDHKQQbKr7h6Eo0S/23d9+UWWd3ZJEz6sG6uH5AwxN0yguLiY+Pp5GjRqhaXrOI03T0DSNEydOkJ+fz7Fjx0hNTaW4uBiA77//HoCGDRsCust1fHw8hw8fJiwsjEGDBpGamuqSSTs1NZUru7WGjbOgx50Qc1HdH3AdU1ycRmbmMrJztlBcdJz8gt0IoTq3h4e3p1XLx4iK6obJFOayb1HRMdatH0Fik7OYTa3ZsWMHGzZsAHQvsAYNGhATE0NsbCwxMTGoqsqZM2fIysrizJkz5OTkVKn5k2WZmJgY8vLyKCkpITIykhdeeIHu3bvzwQcfVNConKsp/+qrr7jyyiu56CLf/g+dU0K1lFhqit7toKrcYu7Qu2Qjl536ElGqX89lQ7WPvpzbs6ssUU4YK+/9VI+3hdCOUGj5vf4GgIcCy7Fjx3j44YdZuXJlheiE3lA+CE/nzp3p2bMnzZs3Z9GiRdx5550V6k+ePJkJE8rCm+fm5tKsmXdW4tXhizgs9U1IoUKYbObIpDVIlQRgq9uQbJ7TMMmM0qZ2V+vZYivD39/EiSM5SALad/RUresbwkJCgEJumfYqDRon2nMMyYAuKP7w2SfsXvYlJcVFBIeG1dBa3ZKXl8f777/PmTNnaqwbFRVF586d6d27N6+//rqz/O8330zDKlTqDgP7YcOG8d133+m2K9+Mh33fw4a34d+7ISIwp4w9QQjBmTOriYnpgxCQk7OVM2dWcyZrLQUF++y1JOLjryGxyd+JjupOWFhr+3lSNSEhzVBtYQQFRTBs6DUMGzaM7OxsF6EkKyuL3bt3k52d7RRCYmNjad++vXM5IiKCoKAgFEWhtLSUrKwspydXWFgYycnJNGnSxG3tV0ZGBt9++y3z58/38periLdGt+5OzVaWW8xdTNFRHM9NovlU7x70jmSoLt+qDTQVVCtC00Cz6QlShebqoOB8MXS8BIpy28tpUYSe/sRFE1TuW/5oKCHtUrw6Dm/xSGDZunUrmZmZdOtWls9FVVXWrl3LW2+9RUlJiU/UuNHR0bRp08apPj6XoKAgv1idV4Uv4rDUN1GWcIRaSl5XizMfl+PNqLI5Z2eZdO56WV2H9C+do1p0bU5yqePcVr6dc/tCqlCu5ZZSG3FF0zSu/2QLJ4/mMKBPM4a1acTfUurnwSc0/W05PDqakLCKgaeCwnVtYnFBQUAJLEIIvv76a4qLi7ntttswm816IkZZdn4c/6uQkBCXoFp94/JYfyqCR3mH8Ldfg/bXwZAZEOkavXnYsGEMGTIERVFo0aKF3sahCF1gQcBbPeBf66FB3dod+ZoffypL4ihJCkKoWCyNiI29ghYtHiA25grM5loarEqlyJJ+X3QIJJXFFFFV1fn/q47Q0FCio6O90ozMnz+fiIgIbrjhhlq3URW+Mrr1JwLJJ84CkiRBuWerfsx19wwEIKRB7dVZPsIjgWXAgAEualuAsWPH0rZtWx5//HGfzTnn5+dz4MABbr31Vp+05y2Of9F5ZMJSAZOiIAmJjn/vXd9DqRXBa/dBab5bdef9fpwZX+9CE2DTBKLQxvX9W/DakA5+HmX1aKqKQEIxVe6qa7FrLdd+uZjg8AjnFJ0+vVYWNMsxp6yfj/p2h2ZZVW3IsoIpKKjsNlnJieuccnPZVNZm+V3z8/I4dOAAF198MfmH9nJRt0sJb1B9MkMHA5sWM/DU/5UV7PpS/3S/HYb9FxT9FiRJEsqm/4FqpZEkwaqpIClMPzOEL75YzO7TuYRMu4g+vXvz4ltznfleoHahFOoSIQRZWes4euw9l/LWrZ4gOron4eFtfWIkK4SGSak583Zd2ga99957jB492qcaeQfO/GL1OU/iBtL5/OAIMDwSWCIiIioE1QkLCyM2NtZZnp6eTnp6ulM7smPHDiIiIkhKSnJK+wMGDOD666/nwQcfBODRRx9lxIgRNG/enJMnT/Kf//wHRVG45ZZbvD5AXyBJ0nkfOfZ8z3IuBMhuHMDBnEJmrNhDcb6VNh0aEiokBrWP54FKPIJUVWXq1KksWLCA9PR0EhMTuf3223nqqadcHiB//vknjz/+OGvWrMFms9G+fXs+//xzj/PuCHtOE6WK2CINmzRDILFvlWfGfdO++ZGzhRWN4fq0bM4N3Tuy8cBRth09wYmzuZTYbDx33SBCLO7HNxHo73K7lx/lTyHodePfuWzUP2vYScCBH+Dwz2VlU85A5i5da7J6Opw5AL0fhKimsPYl2PVVWd3Y1nBmH2uWfc4DPSz06NgaW1ADnvjwFwb168mufYcJi4wGah9Kwd8IIcjM/I6Dh16jsPAQ4eHt6NBhJvGNhiFJvhcaJElDkgPHUHndunXs2bOHTz/91C/tO6aEUrOyaR7bgNjgOtY4uEMAZDi+kPB5sJPZs2e7GMT266dHLCxvyHTgwAFOnz7trHP8+HFuueUWzpw5Q1xcHH379mXjxo21cCHzHxLnl5fQueiB5M5vqrr0NSFYtDudd345xKGD2SAEIy5vzlvDKo9Y6eDFF19k1qxZzJ8/nw4dOrBlyxbGjh1LVFQU48aNA/RztW/fvtx5550888wzREZG8scff9TqjVHTVJCkKgWW9hd3o8Xchag2G5IsI9s9BWRZRpJluwOBXDbFZr8Z/uPUKVRVdfaxc8cOhl8zgv+8PZt+/a5Ae+stutgNYKc8/TT3vPMB0dHRZVNv5aYGqpsmlGWZd/51W+X2FPmnYPkkOLwOwuKgOBdyjkLDNtDvMeg/SfdiaNzZ/ukKPzwDH99sb7zcb/LQNohtCQVnWD7iG1AskHw5RDTm/c7P0ui6Z9k69XL6TXgfmnavdSgFf5GXv5vjxz8kJ2er0y6lY4c3aNRomF/djfUJiMARWObOnUv37t3p0qWLX9oPN+uPrydOF/PGia2kDgm8CLTigrjzBg5eCyzn3iSmTp3qjJxZFYcPH3ZZ/+STT7wdht/RgLePZrItt8DujqqX25XzToNchzOYQ7gp5xyma/URzv1Fhe2ibLncd1lfooryc7YJ10tEAGfUElQhWDRvGw1MJn27VLYdcAaac6zHto3l0u5Nqv1dZs2axaxZs5z/0w4dOvD0009XyGYqhGDYsGEsX76cJUuWcN1111Xb7rmc69Scnl/Cm5sPs/bAaU6czEcrtCGFKFx6cQLTBrSldYOqE+w5+OWXXxg5ciTDhw8HoEWLFnz88cf8+uuvzjpPPvkkw4YN46WXXnKWtWzZ0qOxO7BabchCxVTFlBBAaLjniQfPzeb96quv0bJlS64epGdHdsS+cFyrFksQFkvt3kZtNht/rFnF0Z2/AXbBJvcknD1o//80steMQpI60mfgozTpe33FhloPhFYD4NQeKDgFiRdD0Dl2PWGx0H2MS1FOh1uBZ4kJt8D/XQWX3AFXP1dxX1+SmwZb3ydXZHDA/CdqSASaKEWWLEiyBVkyI8lmVLWQ4uKTFBcfA6BRo+G0af00DRr09rOg4kCrEzeS/Px8F/vCQ4cOkZqaSkxMjFPrmJuby2effcZ///tfv41j0EXNeTJ3F9NybKQH1Xy91xeGjsV3BE442fOAI8WlHEkv9Wsfpb9tpfDTD7Du24V25jTRz75KcN8rndvVrDPkvfs6pVs2oOXnE9S5G5EPPYapqeuUx7kXiVkR9MhWiTtRisXxFl2unsMGQrKLBtHFKmlphVCDwNK0aVNmzJhB69atEUIwf/58Ro4cyfbt2+nQocxmZObMmV7dtEtVlaIzxTy4/A8SooJ57/t9aEUqligLrVtEc03beO7tloTF5P4Nu0+fPsyZM4e9e/fSpk0bfvvtN9avX8+rr74K6Aa73377LY899hiDBw9m+/btJCcnM3nyZI8FLoBSm4YiNL+6LJeWlrJgwQImTJjgl4dkz5F/49TRw05pWQBYbJC3GxEaC8FRzroHjuRw6OfvKxdYQNcQNWoLtHWrb5d8L/9ZDd8/CZtmw5b3IK4tNH/Um0NzpbQAdnymT1Md+AkQZDUNIeuiMBJiRqIooWhaCZqwITQrmrASFNSIyIiORER0JDb2CszmqBq78SWSJJBqZZruGVu2bOHKK8vuSQ6PzTFjxvD+++8D+kuoEMKv0/pf7zvEtByb39r3CRfalFA9zzIYAoubmICnWyVye5OGyOgPeFmSfP5QWFacxs8DLqf7Y49www03MK9TMtdd2RXQtRR9+vTBbDbz32XfERkZyauvvsryp8axa9cuwsJ851ny3f9tI/xszcLZiBEjXNanTZvGrFmz2Lhxo1NgSU1N5b///S9btmypoA1wl8PH8rD8mcU3ZOkFisTLt3fnpra19/iZNGkSubm5tG3b1hkYa9q0ac4cPJmZmeTn5zNjxgyef/55XnzxRZYvX84NN9zATz/9xBVXXOFRf1abiuxnS6gvv/yS7Oxst8Pwe8olI9z39nh/7BBKiwp81rdLvhfFBENfhF73way+cGo3bL5dr5i6kDMHLJyZO4/Wq39CstRsiOrk1F7YMhdSP4aSXEjuB8Nehg43IG+egGxdR4cOr/rsmHyLhiT5/5bev3//Gl2C77nnHu655x6/jiO7WA8e+nqjEPo1S/RrX7VF4Duj2xYtWnDkyJEK5ffffz8TJ06sMlLvokWLuOmmm3wyhvrGEFjcRJElFEnC4ueAXkOHDq0wneJg3759bNy4kZ07dzqFgVmzZpGQkMDHH3/MXXfd5bNxCAlkD5+tqqry2WefUVBQQO/eujdSYWEh//jHP3j77be9Sr2QIhRWAtueHcTx3BJiQsw0CvPOyG7RokV89NFHLFy4kA4dOpCamsojjzxCYmIiY8aMcQbIGzlyJOPHjwega9eu/PLLL8yePdtjgaXEpqL4WWCZO3cuQ4cOJTGx/m/gFrNMaXFJzRXdoMp8Lw1awBPH4cgGWPoRzH8blk8m80v9+Iu/f5+QYXfq9jNVkZeuGwLv/AIO/gShDfVgdd1vd3GjVkxhaKr+4lA3UzyeIUkioIxu/Y3D061HkwQaR3o+lVonOLXW3rN582anrRrAzp07ufrqq7npppto1qxZhQjDc+bM4eWXX67yeeIxAXDOGwKLmwSC6ZQjHUF5g09ZlgkKCmL9+vW+FVhkCdnNN4MdO3bQu3dviouLCQ8PZ8mSJbRv3x6A8ePH06dPH0aOHOnlgCAIiXCLmbYNfZPBd+LEiUyaNMmZubhTp04cOXKE6dOnM2bMGBo2bIjJZHIei4N27dpVmdW1OqyqhsmPAsuRI0dYtWoVX3xRdSTdusRsVrCWWr1qw+18L817Q6cS4G24axVNY99CPf4nIVsmwr43IWUoNLtUN+Y1BetCytENcOBHOL5Zt/1I6g3XzYaON4CpojAsm0KhVELYipDMtbeZqCzLPcCGDRt48skn2bRpE4qi0LVrV1asWOESJr56NOQ60LAECprmiBBb/w/SqhA+HNu5TigzZsygZcuWXHHFFS75uRwsWbKEUaNGucRFOt/565zdXhIIl0Tbtm1JSkpi8uTJvPPOO4SFhfHaa69x/PjxCtK1twhJcsuNGCAlJYXU1FRycnJYvHgxY8aMYc2aNezfv58ff/yR7du3ez2eb0+eJc/HImNhYWGF4FmKojg1KxaLhR49erBnzx6XOnv37qV5c88DmFltGoofxd558+bRqFEjpxFxfWOxmCj1UmBxJ99LhVAKacVEXD2epGbNIHMD7F0O+1bAr++4Nh4SA8376EJKq4EQXr1XomwPh6+WZCHXUmCpKsv9hg0bnG7Zb775JiaTid9++82jTOKSJJDlv84t3TEtJQdwHBZfBY47l5ps1bZu3Upqaipvv/22z/uuT/46Z7fX1L/IYjab+eKLL7jzzjuJiYlBURQGDhzI0KFDfZ4B2BONksVioVUrPYJn9+7d2bx5M6+//johISEcOHCgQhCvG2+8kcsvv9wjN9RwP+T+GTFiBNOmTSMpKYkOHTqwfft2Xn31Ve644w5nnYkTJ3LzzTfTr18/rrzySpYvX87XX39dKxdaq6qh+CLldCVomsa8efMYM2ZMhUzJ7sRG8gcWi5nCQu+mhNzJ91JjKIV21+gbCrPg7GE9hHlwNMS2Ag8EAsUegVYrzoJwz5NnVpflfvz48YwbN45JkyY5y8oHx6sJIQSyrCLLHtjrnOcI+4tFIObd8jc12arNnTuXdu3a0adP4Ll6e4MhsHhAIIRh6d69u1ObUVpaSlxcHD179uSSSy7xaT/eiGeaplFSUsIzzzxTYZqqU6dOvPbaaxWMdWvi8rhI9p0t9GJUFXnzzTeZMmUK999/P5mZmSQmJnLvvffy9NNPO+tcf/31zJ49m+nTpzNu3DhSUlL4/PPP6du3r8f9WVUNxU+C76pVqzh69KiLsOXAndhI/sASZMFq9W4KzB1B3J1QCgCExuifWiJbdIFFLTlbq/2rynKfmZnJpk2bGD16NH369OHAgQO0bduWadOmuX2eqaoVSRLkF6xny5bZ+lu3pLsH6IEv9Zg+EjKhoQ1o3Xp4jfmJfMnKbfv4ZW86zWLCdHtAWUKRZeeySZGRZQmTLDvLTYqMosiYFRmLScasKCiyjMm+nJNfAiUm9uQWU2ATBNltDIMUmSBZ95eSKk0L4viSXMwyHAFCy+pWfq1WdkYKIdDKh6WwL5dqooo9vKM6W7WioiIWLlzIlClTfN5vfWMILG6iR4oNAInFTlSU7jK5b98+tmzZwnPPPefT9t3VsEyePJmhQ4eSlJREXl4eCxcuZPXq1axYsYKEhIRKDW2TkpKqtkWoAiEJnz/qIyIimDlzposdQWXccccdlQoCnmJVBR54XXvEoEGDqny4u/1A9zHm4GBKA9zr1BNMlmgA1FLPBZbqstwfPHgQ0P9Pr7zyCl27duWDDz5gwIAB7Ny5k9atW9fYviRJWK0hmM27ycndXW3dM1kQ3SCeRnGXenwcteXuRXvtS7k+bTcIuHt1uk/brAyXK6vczbGme9IE0yk6mNUaanlGTbZqixcvprCwkNtuu82n/eoYbs3nBXVldFtTUKbPPvuMuLg4kpKS2LFjBw8//DDXXXddrVKf14Q7x5uZmcltt91GWlqaM0vvihUruPrqq30+nvMdqyowBbCBoK+xBAdT6tt7db2iWBoAnmtYaspy77CZuvfeexk7diwAF198MT/88APvvfce06dPr3lsipkBV22htLQQITSEUAGBpmn2dQ0QHDjwMzm5U7DZ/BtP6lxu7RDMh38Uc2VjladH9cGmaqiqhk3Tv1VN6GVCs28TqJq+bNMEpTbVWcdm3++nA3msOVzAzf1aEBsdjE0TWAVYNQ1rueiZjvRY5V84RbkFgWukTVe5X7isO3JtOSJNlyWA1dGjUZfFuYrdFoxS6NsnR022anPnzuXaa68NqEjxvsIQWNxEom6mhGoKypSWlsaECRPIyMigcePG3HbbbX5R/bmrCJg7d65H7dbW1kaWpPM6lxOAVROY/jryCpaQMKzqhWNfoATr00lqaY5H+9WU5d5h1F2ZN9rRo0fd7sdsDsZsrj5lRHDwbnJygToO4X/z5R348I+thAWbSW7c0Cdt5sr7WHN4L6M7NaFzs2iftOlr1u0PAR/OZFdnqwawf/9+1q5dy3ffeZaP7HzBEFjcpK40LDUFZRo3bpwzz42/CZwJMD0OjhpQI/IcqyYwXzjP7xqxhIZhEzJaaQlyLVMBBBJKcCwAqtWzaY2astxfdNFFJCYmVuqN5rMYGnYkSbV/163A0qF5PI0tJaw6YvJZHBvnfTKQXwIk2adeQtXZqoGeHbtp06Z+0bgHAn+h26d3nO/Zjj0lEOLOlMckSZzvswtWjb+UwGIO1eM/lOaerqHm+YESZBdYbHke7efIcl/+Uz7LvSPf0xtvvMHixYvZv38/U6ZMYffu3dx5550+PgqHnrJuT0RJkuiVFE6xppA8+TuKSrxzd4ey+5McwAJL+fQnvsBhq9amTZtKt7/wwgscPXrUI3d496n/H9rQsLiJFAD/rLpEQjd0DRRMyvkvsNg0CPkLCSyqRY8++uKs/0MJDcMkS5gV3RPEpEi614fdC8SkKCiKgiTr37LJhCybkBUFWTGjKCYkRUGRJWRJRpYkZLuniWT3LJFl3atEkRUUk2L3NtH7UBTFWS5LCrKse6XIjvZkSW9Twl4u2/vRgzMiSUj2yKrCVuTz3+qRRx6huLiY8ePHk5WVRZcuXVi5cmWtE21WhXBcRaLuI+K+OOYqfn7mSzJtIVw6dSm/v3CDV5qWQPDarAnxF3vR9TeGwOIBf6UTL9DEM5Msn/cCi1XoD+y/CmnBFwHwbXYLwq0mbELCJmSs9m+bkLGhf1trvBWp9k/9IKOhoPG/qyV2Zit4m/igsjg+kyZNconD4ilnz56iqCgHTVMRQkXTVLtBr2NZJTPjMDk5cezde4STJzW7Ua5wfpdfrmxbZXX3ZIMaHA2ShKoJ/SMEmiZQBfZvvfyyi2JYsreIPBHMiVNnadqo9m7mZYHjAvma8u2U0F8dQ2BxE93o9q914vnekbj2mBT9sldtGoq/fIP9jE1IWJTzc+y1IbSBblz537914vLe3WqorV9fqibQBGiqiqZaUUuL0VQrwlaKaitFE0LfJgSqKhBCQ1VVNKGhqSqqpmKzaWiaik3Vvx3eJpr9WwgNzdGPPX6GJkDTQKPsQSvAWU8VjlgbMqct1Wcwrw9OnTrI229/4GbtIUCq/eMdmoAPSnoA2YCeN0dCINvvHo51CXskXsCEQoRUgubl/cUemT+gBZYAHlrtMLI1nydoGoUFpWTnFjvVmI7gQALArvor501X5kYnyspdAgsJ13rOdUcAIvsfIUBogGZfFhqSgMS4MIKDfZNX51zkALNikW26Ot5qVc9bgcUqJGylJez4dZPzTnZu4CrXO5we9MsxfaGX6NlfhaZhs9nQVBWbTcWmWrFZbVitVmw2Gzab/q3aVOdDW7M/wDX7MkCh1UpaVjbJCY2wmBQkWeb0kcMEh4XRIKExkn26RJLKxiKhT6VIsmwPzqUvS7KEjL2OLHPyeBqa2UJBvntTKJIkYXJooEwyYIbQ2ufs8QfLVj6BGoAPody8kwBc1rcBCfFJ+v9AkpFkBVmSkSQFWVaQJJmCAg2TKcFeR3L5rqqs/Kd8eUFxKR/8dyPjLo3iwWsudZ4n5378gebQsNTCiOXEiRM8/vjjLFu2jMLCQlq1asW8efNcAnD++eefPP7446xZswabzUb79u35/PPPSUpK8qgvX2VrNjAEFrd5bVMhnbJyyeew3/o4JxBjjWxqEswVD/Xwy1g0PTG6X9quDdop/aFnK7ZBiH+ENH9TIpvJKS3i8++W1X3nwi4uO+NI6GVC0W8Be0+kgabiDCqRW8ihvIPe99uqM2fzPTNSDWQ0oSCE9wajvsZmLQag5UW9uOiinnXWr1UUABBkMWOx1G1aAIccoHgoEJ09e5bLLruMK6+8kmXLlhEXF8e+ffto0KCBs86BAwfo27cvd955J8888wyRkZH88ccflcbRqZYAznN0PmIILG7SXijktAwlq110hUe5JJ2zTiWPenuQofIRn8sb8jrOa2cYaSgz5Ld3IEkSQpKQZLB9fQi5yI9hRANLXiG0aSScPI16HutYhWIirkEUN/XvVFbmEuDqnGUEQnNMRWhlGjhJz5+iKAqKYtK/TSYsFgtm+ycoKMi+HKQbmsqKR2+6LvYKmoaqqXYNjX2aRdXLHVMxmiZctDea0MjJL2TJF59Tagnz+rebNWsWs2bN4vDhwwB06NCBp59+2un2m56ezsSJE1m5ciV5eXmkpKTw5JNPcuONN3rdd3k0FDQReOF7rTZdYDGZ6lYjZbNr6pR6cNVxaKY97fvFF1+kWbNmzJs3z1l2buTtJ598kmHDhvHSSy85y2pjAG3XxXu8n0HlGAKLm1gkiabNIunQ1/Msvf5gzfoTJKQX+619TQSUvIISrHs1qOr5Gz5OFRJRkeF0uKTuQqLXlvJTQAC10WlZbSpLvvic4hLvo6o2bdqUGTNm0Lp1a4QQzJ8/n5EjR7J9+3Y6dOjAbbfdRnZ2NkuXLqVhw4YsXLiQUaNGsWXLFi6++GKv+3egCRlNCzyBxWbVk0yaLSF12q9V1Q2hTfWQgFCzG7F4+g6zdOlSBg8ezE033cSaNWto0qQJ999/P3fffbe9XY1vv/2Wxx57jMGDB7N9+3aSk5OZPHky1113ncfjDKT76PmOoa9yFyECyoKq5bEiwqyCgwXFHCkq4XhxKeklVk6VWsmy2si1qRSoKiWaHtraU4PhQMqbBDhtG6y281dg8bfRbYsWLSq1H3jggQcAPfR7y5YtCQkJIS4ujpEjR7J7d/V5Z7zBbFKwCZniEu8yNoOeWXvYsGG0bt2aNm3aMG3aNMLDw9m4cSMAv/zyCw899BCXXnopF110EU899RTR0dFs3brV677LI1DsYe8DC1W1CywmD6csvO7XPQ1LTecmwIYNG7jqqqsICwsjMjKSfv36UVRUtf2T4w7laciJgwcPMmvWLFq3bs2KFSu47777GDduHPPnzwf0dCP5+fnMmDGDIUOG8P3333P99ddzww03sGbNGo/68nXguHolAB5/hobFXXxwzlVn6GW1Wnnqqaf47rvvOHjwIFFRUQwcOJAZM2ZUmpFzf3IYrQ4VYHluM7rjYpnTpzjnxBKAWcDehCCuesS9t3stsOQzFPuDXlPP34tfFRJmPwosmzdvRlXLHqY7d+7k6quv5qabbgL0TN+jR48mKSmJrKwspk6dyqBBgzh06BCK4p+4HKqkUOIDDYtLm6rKZ599RkFBAb179wagT58+fPrppwwfPpzo6GgWLVpEcXEx/fv392nfug1L3WlYVNXKmTOHXcoqe/nIzj7N6tWrXbJyA6SkpDiF0jlz5rBw4UK2bdtGXl4eZ8+eJTo62qvxFVv18624BhmupnNzw4YNDBkyhMmTJ/Pmm29iMpn47bff3AuA5mG8KE3TuOSSS3jhhRcAPW/Tzp07mT17NmPGjHHmdho5ciTjx48HoGvXrvzyyy/Mnj2bK664wv3OAuge6hsML6HzAy9tOmoy9CosLGTbtm1MmTKFLl26cPbsWR5++GGuvfZatmzZUqG97n9vx+HfMtE0dFsCdIFFCD3mgRCUuW0iiN6QQaMs9x8c+k0xcK42xxvcea1hQSbYj6Fuz012NmPGDFq2bOm8wd5zzz3ObS1atOD555+nS5cuHD582OcByhyokoK11HsNC8COHTvo3bs3xcXFhIeHs2TJEmf+nUWLFnHzzTcTGxuLyWQiNDSUJUuW0KpVK5/0XUbdCiyffvoCe/e6+5AQtG/fnh9++MFZUj7fTGFhIUOGDHEKBr4gM0+flt5zqvrp6ZrOzfHjxzNu3DiXODQpKSnVtulwa/bUhqVx48aV5m36/PPPAWjYsCEmk6nSOuvXr/eoLynAvC3PdwyBxV28nBKqydArKiqKlStXuuzz1ltvcemll3L06NEKrnQRUSF06ue+Pc13OSUk7nI/aZsIMBsWx5SQep4KLFZVQyARVEcu2aWlpSxYsIAJEyZUamxbUFDAvHnzSE5OplmzZn4bh5AUrFbfeNWkpKSQmppKTk4OixcvZsyYMaxZs4b27dszZcoUsrOzWbVqFQ0bNuTLL79k1KhRrFu3jk6dOtXcuJuoQkGW6u4cLCgoJjJSpX//Xs6yqoyns7KOsXZtDgkJCZVuf+SRR4DKg9bVFlGcD0Ci2f0Mf+eem5mZmWzatInRo0fTp08fDhw4QNu2bZk2bRp9+/atsh2nW7OH9+XLLrus0rxNzZvr91OLxUKPHj2qreM20l8tRrp/MQQWNxF4N0VSk6FXZeTk5CBJktdqW9C1pkKCEk1DRkKRqr/QHbFlvEW4BKZxXRaVlWvlYtKUBapBtunLR49loGgFgB7QyxnfRggXuxsJPcy6JGGPFaIfjiP8OuWWJXSvG2eodllBkiWkcqHf9bgjin4O2EO1I8t2b65y61X8pkV21XmIuW5Con/55ZdkZ2dz++23u5T/73//47HHHqOgoICUlBRWrlzpX3dU2YTNRwKLxWJxaky6d+/O5s2bef3113nsscd466232LlzJx06dACgS5curFu3jrfffpvZs2f7pH/QjW5Nct3ZsKiqRmioTLduN9RY96uvfmPfvk9ITEwkODiY3r17M336dI/jhnhCUJCe1LJJw2i39zn33Dx4UHefnzp1Kq+88gpdu3blgw8+YMCAAezcuZPWrVtX2o5DYPHUrXn8+PH06dOHF154gVGjRvHrr78yZ84c5syZ46wzceJEbr75Zvr168eVV17J8uXL+frrr30q7Bl4jiGwuIuXwX8chl4TJkzgiSeeYPPmzYwbNw6LxcKYMWMq1C8uLubxxx/nlltuITIy0qu+AU6J4/y3ycucXOhQZ9st7Mstl18PNQmCYgS8V36rXZhwfuOy7lqHSus6t0vn7ntuDdd9bcWJwP2MWXbAjaP1H5LQPA8EJUlodr91y5lMP4yqInPnzmXo0KEV7J9Gjx7N1VdfTVpaGq+88gqjRo3i559/9jy+hLsoJlSbf+KWaJpGSUkJhYX62/259g6KojjtEXzWZx0b3aqqwGJxTyvXs2dP3n//fVJSUkhLS+OZZ57h8ssvZ+fOnURERPhlfLI9jk9kRLjb+5x7bjr+R/feey9jx44FdLuSH374gffee4/p06dXPwYPp4R69OjBkiVLmDx5Ms8++yzJycnMnDmT0aNHO+tcf/31zJ49m+nTpzNu3DhSUlL4/PPPq9X4VIYkSReO0W0AYAgs7uKliqUmQ6/yWK1WRo0ahRCCWbNmeTNqJ0GWTDLMmVze7BZkWX+jFvZLSQgQkmTXUujfliKVpHyNCLN+iui3zHKRWKUy63ynpsYRL8YRS6ZCXUnfXQLJ0eI56866Utn+EhJHz+zlI/EOE8Qwmsa3cWpJpLJu9TJ7Wm0Ne2h1+71CD78uOaMNa07NjB4kT9hzn2iaPQKK3bPKEbZdCM0evl22a3/sD0KniseeGE841D6ibLtdLbw24yTthP+9OI4cOcKqVav44osvKmyLiooiKiqK1q1b06tXLxo0aMCSJUu45ZZb/DIWWTGhqd4LLJMnT2bo0KEkJSWRl5fHwoULWb16NStWrKBt27a0atWKe++9l1deeYXY2Fi+/PJLVq5cyTfffOODoyiPqY6NbnE7srMjJg1A586d6dmzJ82bN2fRokV+yPqsY7V7CZnczJFV2bnZuHFjgEptRo4ePVplWw4NS23uytdccw3XXHNNtXXuuOMO7rjjjlq0XoYwbFh8iiGwuIuXNqg1GXo5cAgrR44c4ccff/SJdgVwzrvPvGw8Iaa6jdXgCzZt+YpPC5bRp20SHXpeVd/D8Rir1cqJadMIkvyfh2bevHk0atSI4cOHV1vPERyuxAdux1Uhm8yoxQVet5OZmcltt91GWloaUVFRdO7cmRUrVnD11VcD8N133zFp0iRGjBhBfn4+rVq1Yv78+QwbNszrvl1RfBKHJTf3DKdPH8NF1i/n7eLI0lBSohIdXTshNzo6mjZt2rB//36vx1sVNpuubTK76WVW2bnZokULEhMTK7UZKS+EnYtDeVYfQevcJZA8LS8EDIHFE7w4+Woy9IIyYWXfvn389NNPxMbG1r7Dc7Ch32TN8vkZ1t6htTlf31X8lU/lXDRNY968eYwZM8bFQ+TgwYN8+umnDBo0iLi4OI4fP86MGTMICQnxw0O9DJPJjOqDB/zcuXOr3d66desKwr9fkEwgvHfT/r//e4ncXHdeHCIIqWUqivz8fA4cOMCtt95aq/3doUzDUrMWqKpzU5IkJk6cyH/+8x+6dOlC165dmT9/Prt372bx4sVVtue4FwRy8sP83Dyiyafkaf1eXt30kOR8KxaY5bKpTKumVNhLlL8fivL3xvI9nNubVGUd6Zw2NVVF2NuVTSYkBOFyITlKE2qfX9t7DIGljqjJ0MtqtfK3v/2Nbdu28c0336CqKunp6QDExMR4bRhptec/UaS6Mfr0Nc4pI3F+egk58PfoV61axdGjRyuosoODg1m3bh0zZ87k7NmzxMfH069fP3755RcaNWrkt/GYzGZKtMALtFZbSkUMQfJp79spheTkUnr2urwsHYPdEF3YM6kKu+V7y5a9qmvKyaOPPsqIESNo3rw5J0+e5D//+Q+Kojin+9LT00lPT3dqXHbs2EFERARJSUnExNTuMWSzz7ma3Zi2qurcBN2Dqbi4mPHjx5OVlUWXLl1YuXJlte72TqPbANawbKEbm0uKubVlWZi78t9lMbNcj8FSepbo7K2ciemDqtgFW0c+MMdEk3AsO5wW7NtFue/KysvXdykT9k2C0sICzp48Tmyz5piDggCJA0ePUGJLobdvfyKPMAQWT/Di9b4mQ68TJ06wdOlSQA9SVJ6ffvrJ6wBYNqFiFqZav+nXlN00Pz+fSZMm8eWXX3LmzBmSk5MZN24c//rXv7wa97mcrxoWp0GonzO3Dho0qNLAYomJiXz33Xd+7bsyzGYLcgCGsq8tZlMDROkhr9vRNIno6Aa0Tal6ysNTjh8/zi233MKZM2eIi4ujb9++bNy40RkDZfbs2S6B5fr16wfo0zTnepO5i9Xmfmj+qs5NB5MmTXKJw1Ij9qYCV1yBQlM0i9QhPHHX9bXav7IJ5BkzZjB58mQefvhhZs6cCejJGh999FHWr19PSUkJQ4YM4c033yQ+Pr72gz+H1Y8/TGNz5S7zdYUhsLiLD66K6gy9WrRo4XH4fE9QsaGI2mlX3MluOmHCBH788UcWLFhAixYt+P7777n//vtJTEzk2muv9Xr8jp9fnKcaFoegeL4KXLXFYrEgc+FoWIIsEai2qsPFu4umyZhMvp2e/eSTT6rdPnXqVKZOnerTPh3JD82mutfcOuOwBHCCGV+b3G7evJl33nmHzp07O8sKCgoYNGgQXbp04ccffwRgypQpjBgxgo0bN7oXLfg84cI5krrgPH7alAobJmp3Uykf9O7SSy8lOTmZQYMGuahrf/nlF8aMGUP//v1p0aIF99xzD126dOHXX3/1yfjLHvi1+yfMmjWLzp07ExkZSWRkJL1792bZsmXO7XPmzKF///5ERkYiSRLZ2dm+GLYT5/j9rGEJNIKCLJjOUyGzMmQlnGDF+6SjmiajKOenPVl5HDYs/kw5URWqYzrKT2klfIEvzWvy8/MZPXo07777rsvL4s8//8zhw4d5//336dSpE506dWL+/Pls2bLFKcBcKBgCy18EVdgw1VKhtnTpUi655BJuuukmGjVqxMUXX8y7777rUqdPnz4sXbqUEydOIITgp59+Yu/evQwaNMgXw/f6yndk+926dStbtmzhqquuYuTIkfzxxx9AWdjyJ554whejrRRJ0/w9IxRwBAcFIUuCohL/xGKpaxQljGClmFJb7bVGmmbzi4alPnAKDfWgYXH0Hcg2LJIkOY1ZveWBBx5g+PDhDBw40KW8pKQESZKcQfxAt1mTZdnjVAKBjjEl9BfBKmyYajkl5E7QuzfffJN77rmHpk2bYjKZkGWZd9991zlP7i1lU0K1e+KPGDHCZX3atGnMmjWLjRs30qFDB7+ELa8M2+lTfm0/0AgN1o3Fc/OLCAkK3Af06HkrOZGdR3LjUrslZPmHjCPKoYQp/xR/b6WxbNMtSOYIkGRABkmxf8tI9mVJMiFJCpKkIEsmJNn+rQlARqmHh7yvsdoTGtaH0KCeB9K/r36VTz75hG3btrF58+YK23r16kVYWBiPP/44L7zwAkIIJk2ahKqqpKWl+WgEgYEhsPxFsHkxJeRO0Ls333yTjRs3snTpUpo3b87atWt54IEHSExMrPBGUBu8nRIqT2XZfusCSQiKDx2us/4CgZBg/a0vp7CI+FjfxBTyBz/vKQWCOHpatWf/rRiBGQSNQ2PJahZBDFvJLtAjFsqAgh5HxS6+IEtl3+eiqibgFk4WZ/vxiOoGm1p/GpbzQF5B9oGG5dixYzz88MOsXLmy0ojUcXFxfPbZZ9x333288cYbyLLMLbfcQrdu3S4o+xUwBBb3CVyto1vYhIpSS4GlpqB3RUVFPPHEEyxZssQZEKpz586kpqbyyiuv+EZgcbgBenGTqi7bb10R2r1bnfZX34SF6DfYvALv7T78SWTkKRpGCn58cKwbtce51aYmNGyaFVWzYlNL0YQNm1bK6ZxMfvl5KQTXr8eFL3Aa3daDHYljSiigkcq7LteOrVu3kpmZSbduZfcOVVVZu3Ytb731FiUlJQwaNIgDBw5w+vRpTCYT0dHRJCQkcNFFF3l5AIGFV+LXjBkzkCTJqU6H2hsvvv3227Ro0YLg4GB69uzpM2NNn3I+iPRVIBDItfx31xT0zmq1YrVa/ZrLxTkl5IWGxZHtd9OmTdx3332MGTOGXbt2+WR87iDZI8v+lQgP0TUseUXee9b4k2CLoNDHAX9lScaiBBFiDiciOIaokEbEhjUl1KK7GVtMfkw6WUc4PHVMdZSFvDzng8Dii19lwIAB7Nixg9TUVOfnkksuYfTo0aSmpqKUExYbNmxIdHQ0P/74I5mZmT7x0Awkaq1hqcy9CsqMF4cMGcLkyZPdauvTTz9lwoQJzJ49m549ezJz5kwGDx7Mnj17/BrUyjPObxWLJGr/sK8p6F1kZCRXXHEFEydOJCQkhObNm7NmzRo++OADXn31VR8dgPdxTKrK9vvOO+/4YoQ1Uhbs6a9DeKge9KrA19KAjwmxQE5B3VzjRaW68GYxn/8CizPSbT1MPZwPAoszWZoXRERE0LFjR5eysLAwYmNjneXz5s2jXbt2xMXFsWHDBh5++GHGjx9PSkqKV30HGrU6y6pyrwI9YuGkSZPo1cu96IwAr776KnfffTdjx46lffv2zJ49m9DQUN57773aDM+gCmorsDiC3n388cd07NiR5557rkJ2008++YQePXowevRo2rdvz4wZM5g2bZrPAsdJfhAYHdl+6wx7JNO/EpGh+pRQQXFgTwmFBUmUWOvmoVtSqp9zQeagGmoGPmo9xmE5L4xupbrJ1bxnzx6uu+462rVrx7PPPsuTTz7JK6+8Ugc91y210rCUd696/vnnvRpAaWkpW7duddHGyLLMwIED2bBhQ6X7lJSUuDxocnNzvRqDW5zfChYkIXl1DDVlN01ISGDevHm176AGHF7NtRW6qsv2C/4JW17hGDh/A9/VBmHTiLAb3eYWFFNYakOWJBRZQpEk5AByR40INmG11c1Dt8h64WhYHEKDybBhqRRZwmduzeU515txxowZzJgxw+f9BBoeCyzVuVfVhtOnT6OqaoUQwvHx8ezevbvSfaZPn+4SYrouyCnVyPzjDJY8q/0tuZK3ZVeHAk5lFmKzaiQkhpXbLsqldxDOclFuP1FuQdco6voF+yKgS+7OZfsHCbLVHHaZfkcKtSIQ9jlmwZ9Fe87zqDveeQnVlO3XH2HLCz96BnHoFxx5OgbKJYTmmDk062ckoTnLy39L56yfm+tDctlGhTqO/cvi6trPIwTCpnJQ68xBU5nxnlZsQ9gEskUGc9UniFu/u7BPeQnILD1LiVQWe2XhxsM8/0t+hV3szsBIgCIEM9a+SWL+KUpNFoQkISQZTZL1ZVlfRpLQZBlxzrKQZIQsgSQj7GWtjuwEYF/LLnovjjTIzmVAkhhWVMxVNsG3//w/Uv71b1r19V9CyBKr/rL147of+Xnrz0iSRJj5NM2jM4kMikKyu0pLTjdpSXePdqwjIzncpyX7Moq9TLa7UsvObbKklNVH0tuWFPt9RXb2h2O5XB/672Tf3/6fcvaLRHH+EWKDBVsP7bHbUigEW0LpmtTUbwJpakYu2zNzOV5QArLEU9sOUaBppAQFIZ9zX4QyD0MZ1/unowxnueR6j3V87AWObWVrAik7izhNLbtHO+rax/FLmhUhBa47//mGRwJLTe5VdcXkyZOZMGGCcz03N5dmzZr5tc+NZ0ooTC+CP7M93nfv7rO+H1A1nAozs7TT20jCIejISDJcarm4TsfhS7wNbV9Ttl9/hC0373gLc3AppUW6HUeK2YIqLHD6uN1zwOHyqN8Fhf32KRwPU5x317J6SM59nQ9dxz729bI3Ose6vj2m5BhC2Dho7u4UcGVFRthUZEUGRan2XdBlWq7yRadAkBTWGJum0rpFK04UWGkXHA+yCVUTaJpA1XSDTU0IVNX+bVNp89VRCmMSyO59FWgqQlVBE/qyEKCqoGkITQNN3yZpGmgaCM1lWS5n8G1SFHtyN6HvK8onkIMGwoZNzifxt5McWfqJXwWW5IRkisKLIBdsuTYQ0KT5TiIsRygtjaQswZ0ASRdsJamcUCpV9Y19ue64NFH/lJYL91EE/FryAb1SLvNLnzfN3Yg1VxeGtUgz/5eTo2/Iy/NLfzUR9GMakrUqzakhrPgSjwQWd9yrFA9Vgw0bNkRRFDIyMlzKMzIySEio3O0vKCjIJapfnRBiolOvhvQY2qL8c6Lc3dp1ykWSQLVqCCTMQXLZ9vISunO93LJcXn7H+dYqBAhNuKy7bBMCocH/fbiEsEORbLt9u79/kTqlLHDc+TOlIoRMgbk3YVOXA1DfEwClL4+gkWrl9sfuqeeRVI5mVdnzMjS9cQzd/327T9tu52a91Zd3pqTUvx5NTWOa8uKjL7qULVw7gqwSCzcP3VrrdjVNQwiBpqkIoaJpKqpqcy4LoQICTbOha4g1hFDt15SGpqmAZi8/pwyBcO6n7yPQEJpKnlWgmEwIoXI27xglZ2ZQXJJV6+OoCVuxSrsOcTzevxVmRaIQKFQ1GpkVNM0+2jLltV2ZXaYjdMwkOYRVR1JjgXAuU35dlFsvV/+no0dZhInnLo8gKSrafi8W9j70SgfOltCysaud5/lN/U7DeSSwONyryjN27Fjatm3L448/7rGwArrnRvfu3fnhhx+47rrrAP3C++GHH3jwwQc9bs9fyIpEUISFkJj60yy5gxSsImvnfwTNCkjn9XxWgBA4NiOV4hxePd4UFRlVrfs0Avp0jXfH7QgrUJv7sK84knmI/Wf8a0shVEHTBiH0b+Yb27LaUpJ1jEX50KtTK9o0rvzl2vsIVIFG/d5DPHoKONyryn/Oda9KT08nNTXVxXgxNTWVrKwyiXvAgAG89dZbzvUJEybw7rvvMn/+fP7880/uu+8+CgoKGDvWnSBOdYTknUuqqqpMmTKF5ORkQkJCaNmyJc8995xLm0IInn76aRo3bkxISAgDBw5k3759ng3TBLJ64Qks/vAS8hdFS9+k4JWbURTreR27p84JgN9KkyRQ616LJ8lmZM4f7WHV+Pd/WGhVQRVEhdR/zFOHpkYKIONxf+KLKOPe4vPX1tmzZ3PxxRdz9913A7rx4sUXX8zSpUuddRwR+RzcfPPNvPLKKzz99NN07dqV1NRUli9fXsEQtz6RJMmra/HFF19k1qxZvPXWW/z555+8+OKLvPTSS7z55pvOOi+99BJvvPEGs2fPZtOmTYSFhTF48GCKPXAJlUxcmBoWO+fDlJDy8zRCclYghITUpEt9D+ccPD+J165dy4gRI0hMTESSJL788ssKdf7880+uvfZaoqKiCAsLo0ePHhw9etSzjqQKC3WOUCTdDsYDpk+fTo8ePYiIiKBRo0Zcd911FQIt1oQsmagbB1j/UnYE/vkfnsjT74WxofU9wapPPYFuHv2XwZfpp2uB12Lque5V7hgvHj58uELZgw8+GFBTQOciSd69AP7yyy+MHDnSGbq+RYsWfPzxx86IvkIIZs6cyVNPPcXIkSMB+OCDD4iPj+fLL7/k73//u1v9KCYJSTMhhHAaql4IOEPz1/M43KUoqCdhz62o8QJTVZWpU6eyYMEC0tPTSUxM5Pbbb+epp55y8TiojJdeeomJEye6PabahggvKCigS5cu3HHHHdxwww0Vth84cIC+ffty55138swzzxAZGckff/zhuWF+AGhYhCzpRrsesGbNGh544AF69OiBzWbjiSeeYNCgQezatYuwsDC32pAlE/J5c3ZXg5//h2kFuodVXFj9CyyOQ/XVfTbjUBpfvvw6mmqlvCVNuR5plNyWGyf5JraVxwhR3/KKkUvIbSSnGWyt6NOnD3PmzGHv3r20adOG3377jfXr1zsjwR46dIj09HSXvDtRUVH07NmTDRs2uC2wyCYJgYymCRQlcAWWvJzjPPblDeRp1jLDOEBzLEv6suPRcQyb/tJWUj+eAJ7j3rni0LzNnz+fDh06sGXLFsaOHUtUVBTjxuk5a87NuLps2TLuvPNObrzxRg/HVDst4dChQxk6dGiV25988kmGDRvGSy+95Cxr2bKlx/0EgoCtyRKonv1Iy5cvd1l///33adSoEVu3bnU7W7ksm30msLgjBJfnX//6F++88w6vvfaaS5qV2uCYNkjNyOPs3gxCzDLhZhNhFoVwi0KExUSEWSHUpNTq/53uEFhC6z/onmM6X/bRebt/yw7yz+wkLKY1smIup3CUEAIKc9I4tvNnoJ4ElgDAEFjcRJLAm9mISZMmkZubS9u2bVEUBVVVmTZtmjNabHp6OkCl8Wgc29wap/0/+s3aH1HMegwGGZkD2fvp0DyF/h371P4gqkFoGj9tfIW8Yt1WSbfKd5rj2y3uHRFmBMfzjrOeIrooobQ0RyJTFmvGoWJ1RIeQkLg0v5CSX8+Qcm39P9TOpXjNItQ/1zq14EGy+0abNWnegArecl999RVXXnmlx4nNZDULNN96wGiaxrfffstjjz3G4MGD2b59O8nJyUyePNlpRO82AaBhQfJcw3IuOXY3W08CDvpSYHFHCHawZMkSNm7cSGJiok/6Lra/YqzYnsafP2ypsp5weETKEpIiIckSsqJ/FEVGUSRMiozJJGNSJMyKjMUks+7R67FmZXCdq5MV999/P2+//Tb9+/dnzZo1LtvuvfdeZs+e7ZPjK4/jLDn+5x604yeQZRlZkZFkBUmW9XVZQVLksnVFX5dlBVmWkRQZNAnZpGC1B0Md9fSTxDRuWKG/hU//l8yDv6FpWj1mYT7Pp4T+KkiS5JXR7aJFi/joo49YuHAhHTp0IDU1lUceeYTExETGjBnjs3HGNogmAzj+qeOEVu2f5mwxnab/W1Xv6w2Hj67j4X0ferRPjKrxzrUfEtawTY11S7at5uB/7yN4ZOCdstJ34wkLKRcULQhKYpLd2rcmzdu5ZGRk8O233zJ//nyPx2ku+t3jfWoiMzOT/Px8ZsyYwfPPP8+LL77I8uXLueGGG/jpp5+44oorfN6nPxGyhORFBFVN03jkkUe47LLLKuR/qQ5ZMhOmCFTNhiJ7d467IwQDnDhxgoceeogVK1Y463qL2aI/0K4f2Iq7wy+h0KpSaFUpsqoU2zSX5WKbSrFVo8SmUmLTKC33sdo0bKr+KSkRqKqGqgma3PsGZpPEd3f1JtxiYufOnVx99dXcdNNNzjHcfffdPPvss8710NBQnxzbuZQUADL8OPcNwooLfNau2VJ57BZZllGtWbx2y7kJDSsTIqoSLCoLoFSxbmUxl4RmJTKuVRXt1g2Bd/cPULy0uWXixIlMmjTJObXTqVMnjhw5wvTp0xkzZozzLTojI4PGjRs798vIyKBr165u93Nj/yFktj1LidWKJlQ0oaFJGh8v/ZbIXf5LNV5q0y/YDy5+jI7tbrRHxcQZLVOS7ToUSaql6t9uwxKA4bglVAqUSwmbshLQtU1hbr4B1aR5O5f58+cTERFRqS1JTaiWZki2fJ9a2juycY8cOZLx48cD0LVrV3755Rdmz57tkcDi/N/W40ucLrDUXsPywAMPsHPnTtavX+/RflHhLbHlwtGsLSQ3dD8PW2W4IwRrmsatt97KxIkT6dChg1f9lceRvbltw3D6JfnfaWLGjBm0bNnS5TwLDQ2tMoaXLwmKiIeCLHr9bRKNgmU9Do5mj2NjX9Y0e6BDIdCEWq68rO6po7mYzBKRDYOIiG1ARGxUpf0NuOMWtq9oitBEuZgvZYFjyuJzldNmO4N5lYtFI86N51UWy6usHUedsvLTx/IIbdDDj79ozRgCi7tIEt54HRYWFlZQ4ymK4rzhJycnk5CQwA8//OAUUHJzc9m0aRP33XefB8OUiG9cURXdrFEiebv8p0YU9uOwmIIxm33/RuN0HQyEaYMKCJDLPLMkD9S1nmre3nvvPUaPHl2rSNO2oDZI5Pg0gF3Dhg0xmUy0b9/epbxdu3YeP7SdUzH1pu6undGtgwcffJBvvvmGtWvX0rRpU4/2jYvsTNpJOJ13yGuBxR0h+MUXX8RkMlWYIvIWzWnX4f//YWlpKQsWLGDChAkuL0EfffQRCxYsICEhgREjRjBlyhS/aFkcd6IOfVNo0sA/WpzyxCUlMOjum2qu6Cc+nfYrQWGVC1N1hSGwuInkZRyWESNGMG3aNJKSkujQoQPbt2/n1Vdf5Y477rC3L/HII4/w/PPP07p1a5KTk5kyZQqJiYme2wJUNn4ZEBJH0raB0BDCZg9hrtpDlasITbUb6tjDngvNXuZ4S1DL6qM5yzZs2cVbcz5l98FTdMwexZIlS3wyZtcDcOolfduuD5AkDWqpxq9J81aedevWsWfPHj799NNaDlTG135WFouFHj16VHDj3bt3L82bN/eoLce/tjbPuhMnTvD444+zbNkyCgsLadWqFfPmzeOSSy4BdE3l448/zvfff092djb9+vXjzTffpHXr1q5jkOWyABvujlsIHnroIZYsWcLq1atJTnZvOrA8qtDtF8xKiMf7nktNQvDWrVt5/fXX2bZtm88NnR3JEOvC1ffLL78kOzvbJdfXP/7xD5o3b05iYiK///47jz/+OHv27OGLL77wef+Os8RXRrfVsXbtWl5++WW2bt1KWlpatfdYXxpRBxqGwOIm3qYJf/PNN5kyZQr3338/mZmZJCYmcu+99/L000876zz22GMUFBRwzz33kJ2dTd++fVm+fLlP8jZZCk4hE8E1K8b4XOWetzePwiY2Ei9L5OibHsbecJsA17BItbuUatK8lWfu3Ll0796dLl1qGdtFkmsl8OXn5zsDQYLu0ZaamkpMTAxJSUlMnDiRm2++mX79+nHllVeyfPlyvv766wohD2pCOAK2efgAOHv2LJdddhlXXnkly5YtIy4ujn379tGggR4SXQjBddddh9ls5quvviIyMpJXX32VgQMHVnA9FrLkkoPIHR544AEWLlzIV199RUREhNNIPioqipAQ9wSQUpseX8SkeO/9UpMQvG7dOjIzM0lKSnLuo6oq//73v5k5c2alYSfcRbOroeviIT537lyGDh3qYjB8zz1laSc6depE48aNGTBgAAcOHKiV51p1ON2afdpq5dQUWsCBr42oAw1DYHEXCY/fvMoTERHBzJkzmTlzZtVdSBLPPvusi8GYr+gUFM0aYG7K3Ugmsz5t4czoqmdfRS6XxVVS9GkOyZHBVS93lsl6ZlYkCcvVQViUYCJDG9LoTc9U4W4TwFNCkiSgluHQa9K8OcjNzeWzzz7jv//9rzcjpTYali1btnDllVc61x2JR8eMGcP777/P9ddfz+zZs5k+fTrjxo0jJSWFzz//nL59+3rUjyi16aP08Ld88cUXadasGfPmzXOWlddy7Nu3j40bN7Jz506nvcasWbNISEjg448/5q677iobQy2MbmfNmgVA//79Xco9yfRtVXXvLYsPNCw1CcG33nqrS/gEgMGDB3Prrbd6HV3c166+VXHkyBFWrVpVo+akZ8+eAOzfv9/3Aov9uy6icNcUWgD8Y0QdaBgCi5t4GziuvjHZbSy6X3wPSj1m2q41jnmCAJwS0m1YancpuaN5A/jkk08QQnDLLbd4MU6J2hhi9e/fv8bp0DvuuKOCkOUpwqq7g0tVeElUxdKlSxk8eDA33XQTa9asoUmTJtx///3OaNsldnfR8ppKWZYJCgpi/fr1LgJLSE4xBQ3dC/bmHLcPbgxWVdewWEzeCyw1CcGxsbHExsa67GM2m0lISCAlJcWrvjX79Sn5Poi6C/PmzaNRo0Y1PphTU1MBXBwZLkT8ZUQdaBgCi5t4OyVUp6g2+4Nd2C3AHdlXQai2+h1bbZFlTjXsQs76fEzHv3ZxydNf5iS7TFMulbYklWXHlh1eS47M2JJLudUGx9OgSYJESKiEJMnYHZyQZd2zSZIdH/0NUpL1vpJMAq04jayt64nqfCmK2X2zVnc0b6Crusuru2uFJAe01C1K7QKL2TOB5eDBg8yaNYsJEybwxBNPsHnzZsaNG4fFYmHMmDG0bduWpKQkJk+ezDvvvENYWBivvfYax48fdwnKl5t2hMSjBZzK9p2LqrvYNP3YzYr3LxPuCsH+wBmu3o8aFk3TmDdvHmPGjMFkKnuEHThwgIULFzJs2DBiY2P5/fffGT9+PP369aNz586+H4f9WAMhMpS/jKgDDUNgcRM9cFzg3uwdZG78mW8+SMcmgtGEjIYJgQLYU5yfp1mPi6VQdnS8B4qAP/3Xz4mT5WPuusdtcTFEWH+Dr4dz9I8pJN32qN/G5xV+MLr1JaLEIbB4dlvSNI1LLrmEF154AYCLL76YnTt3Mnv2bMaMGYPZbOaLL77gzjvvJCYmBkVRGDhwIEOHDnXRjoRE6cG64nJh2Z3DibrpRtpeOoSYGP/bA6iaDQkwexmDBdwXgsvjjd1KeRxGt/6cEVq1ahVHjx6toNGzWCysWrWKmTNnUlBQQLNmzbjxxht56qmn/DIOpw1LPd9S/WlEHWgYAou7nCcnQs7JMxRpDeh1yVnMQQqyUoIsS8gyhDeKwuSnIEr+RgrRxz3ib9BswJX2OAH2jyZAs5v7OdaFvcwRq6BcmTPegFbWhtAEtlJVV7jY1/WPZnemssdXUPUYBZpq346gsGQhtiiZ0M+uRSrNra+fqGak2k0J1RWaXcOChxqWxo0bV+pW/fnnnzvXu3fvTmpqKjk5OZSWlhIXF0fPnj2dXkQA5tAw1FefQpnwPC1+Pgg/v8zP/RYzYs53tT8oN1FRMQGydJ4nLrVrchU/HsegQYMqnYZr1qxZhSi3/sTpJVTP2Zr9aUQdaBgCywWHfvF0GjUAS2R0/Q7FhzjfHOxJHSt7k6hv3VHx4kDPuCsjBaQNkB2bPl0pe2jDctlll7ntVh0VpceR2LdvH1u2bOG5555z2d5x2GhKr7yerJMHybj2JlqtPcSJ3Vtp0ra7R2PyFIdBbF3EL/EnjjRMF/qbPpTZLin1PCnkTyPqQMMQWC406iFeSU1ur74lcAUCgYwUwBoMbxN4+hthtdtXmTx7Ox8/fjx9+vThhRdeYNSoUfz666/MmTOHOXPmOOt89tlnxMXFkZSUxI4dO3j44Ye57rrrGDRoUIX2LCGhJLTsSPbcVxG3T2DHa8/Q5J2lXh1bTQiHO3C9i93e4TC6rYs4LPVNWbZm//dV0z3WX0bUgYYhsFyo1KFxZU1ur74h8G+AQgT2lIuugwpggcU+JSR7aMPSo0cPlixZwuTJk3n22WdJTk5m5syZLpFd09LSmDBhgjP1xW233caUKVOqbbdtr6Esa/U0UnGJ5wfjIQ6vGhHA/x93EHUYh6W+cRrd1sGx1s09NvAxBJYLjXJTJ3WFO26vfwUEUkBPCYkAt2Fxalg8tGEBuOaaa7jmmmuq3D5u3LhaeVAIWQZV9Xg/T3E84LUAPn/coSzS7fmtKfKEupjF8/Qe6ze7lXo+Pf86Z9VfhXoQWOoSb45q1qxZdO7cmcjISCIjI+nduzfLli0DICsri4ceeoiUlBRCQkJISkpi3Lhx5OTkeDC2wJ4SkgLdrdlhw2IKnPcob3ILeYIj+JgIZBsjNxCi7rQO9Y3DabSebW7rjED4nwbOncHAR1zYAos3NG3alBkzZtC6dWuEEMyfP5+RI0eyfft2hBCcPHmSV155hfbt23PkyBH+9a9/cfLkSRYvXuxW+4EusAT8lJBTwxJAt6Va5BaqVTf213TtPL9uNaFroxT5PPd2cgNnVN/zYLr6QiGA7gyBTUaJlWNb0/l5/2lAV/+7dZ6ec/+REC6yRLVNVNjXdVNwUjiP3tX1nEqBmySwvhkxYoTL+rRp05g1axYbN27kzjvvdHGDbdmyJdOmTeOf//wnNpvNJUBVVWiaRFGu/+0dak2ATwk5vIQ8jcPiTyRJIvJgJl+MuRIsZoTFTLOrruHSG93PoO5eP/r3eS+waKUAKJIvc4L7jw9PnCatxEqIImOWJJ4/eBLQNV72+JL6t+NjDzgpAaJEAxO89PIm3VPIGa+yXMDKckEqpXKN6Yv2epJEYqcYRg/0beqAC5HAuTMEONtTQog6Bg0tJqTy95TKbjA1qM6EJwJ5FXWLTxZi2pVdzQ7n943P36iqymeffUZBQQG9e/eutE5OTg6RkZFuCSsASDImz80v6gxRhxqWtNRT5KXl2/NSgaSUixYsAfaowbIsIZtkJFmi9LA+/Zaz9wjFsoJkMSGbzCgWM7LFjGwxIZtNKBYzUpAZRfH/jHb00GEUfbOc6NPFyKX5hJ8qoGD/fPCxwCJLCnps6gAWKN1AiFIkQPFBEkd/c7K4lIl7j1coD1NkWoYEoeekF3qYJ6H/Z4QQqMJxFWmknCxBCdafCQLhDPmEva4ebFzTdzin3LEectbKvqxiMASWGjEEFjf5Nh5aJUezvme7+h4KAK998DulqVkVyp2y0nn+plYlXh7Wjh076N27N8XFxYSHh7NkyZIKQccATp8+zXPPPedROHxZkYjK+YWMVYt1uwdNRagakiITe/kITGHhHo3VdvBP1P3bAccNzh7oDq3s/ysAodrXHXdSoWvYnPX1b/OZVWiqhTOf7rFvw566wd6hKN+P/caqAZq9jjNY37llrvsITfDV3lw8NVWNzDnFJUDOMxPcql96zVi6vPKYh714Rp+7noS7nnSuL7prIAlHfB8c0GnDcp6/aGhaKQpgkgNYcrdzqEjXht7TtCHD46IpUFUkJK5oEF4heaQ/efnd7QTtD+CAkwGEIbB4wP7CwFH3V6mkMaaEqiUlJcUZ8XTx4sWMGTOGNWvWuAgtubm5DB8+nPbt2zN16lS32y6RY2lo20Hk+jsrbDtZlE/i9Xd7NFax8A6CbLs82qcmirUrKdqe6fmO555wUrlCybVcEwIV6N4hhvbXXYRQ0aMOa2UCDVpZtGBNFQhVoNraoaa1RZJtCKsNzWpF2GwIq4pmsyGsVjSbDWwq4t0Z2I4ersUv4B2y7F/DZbUODHz9idDshtNy4E8JnbSngugaGUrPaM9eJnyNMOxg3MIQWNzk4ohQ2oUHTpbj0qJCgos15k74rOydTIBqlYEGLH1mHLJss99bBWgqNpuKkJSy3ICOy6SSdV2tK9H//ilEtetTl4dWBY4oTd61YrFYaNWqFaCHa9+8eTOvv/4677zzDgB5eXkMGTKEiIgIlixZgtkDF9uofy8nLzMdSVGQFQUU/bcOmdWexN8eRUt9CpfkjC4HVPatT91ImMmmJHo4pn++BpLsTPKoz7GUn1xXyspwJGUsVyZJuu+lJBEqSYRK/rX4L8kpgcd/JjwxjMhmkR7u7V5W3S3fLEWyZ3euUxTFL15DsiShcgFoWHAILIH/aEkr1s+fpkH1LFxpAmH467pF4J9VAUIAeHS5kBWaS0mcmQ55UtkzXAKT2UaQ2IHJpOlurI5NkgmLqQRTSJj+QLTPuQokfVrA6VZp1/irGvtPFtEmdX2ACCwOfPuP0DSNkhJdc5abm8vgwYMJCgpi6dKlBAd7JqCaw8IxJ7eqUJ7e421K0g8RdTAbgOC29kSUjukafcX+5ciyrWFFQ7nsHygN4yvtb+rUqTzzzDMuZSkpKezevRuA4uJi/j1hAp988gklJSUMHjyY//3vf8THV96er7AW6w8tk9mPd2GzGWEt9V/7VSDLisdeQ7nWIgqspWhCQxMaNqEihMBmn8qzCZWMojxigLOFaZhNUS5nhWt0H8fUkYSmFqGqeZiDGiMhI0mKPW2FYl+X9azi9jZke0oLCbumCz0yrbCLScKZ3Z2ydYSzrmO5bGRlo9G/BEWlZ7EApvMgJ1KGPVBhUojnAkteXh5TpkxhyZIlZGZmcvHFF/P666/To0cPj9sSmtDd5w1qxBBYPCCQTqmSBoKlvSy8NvRvVdR42Kv2rblneOPuMViLCig5dQz9FimQ0Owv9/Z1+9SThABZgZiL/CPd+SAO9uTJkxk6dChJSUnk5eWxcOFCVq9ezYoVK8jNzWXQoEEUFhayYMECcnNzyc3V55Xj4uJQlNrfgBOG/xOA45PWUdAolJRbfZeXpkOHDqxatcq5Xt5AePz48Xz77bd89tlnREVF8eCDD3LDDTfw888/+6z/ylBL7K6tFt8/tH4bPx1lxSeEaaUUJF9S8w4+RlIUj6aEtp0+wrDfM0GqXlPXRjTjP8DpvQ9y2ssx1idRgA2Fo8UQ4wOF9H0b57Nu3/8wmWKIj+7C670fpm20e1q4mjhjd6NvVAuvtLvuuoudO3fy4YcfkpiYyIIFCxg4cCC7du2iSZMmHrWlaSKwHi4BjCGwuEmg2bDKknMCx6dUeGtf9C1xEf/l8aH9a9xXkTSuHz2M5iMe9Pm4yjQRtT/mzMxMbrvtNtLS0oiKiqJz586sWLGCq6++mtWrV7Np0yYA55SRg0OHDtGiRYta9+ugGNB8/BA3mUwkJCRUKM/JyWHu3LksXLiQq666CoB58+bRrl07Nm7cSK9evbzuW9M03bbXpiFUDU3VNXMFmUUAKEG+F1hsx46iWiIwDbmRJlf39Xn7NSFLMpIHU0LHi3JAMnN1aBop4WFIkoQiyXa3WQlZkpElkEUyJ8R/iQsuy6bu1KU4ZfVztBulGXz9wad88/luMo5nANC8dTP+8eDf6NGvC+nH07n9qspfXB6f+RCXD+1l70cqc7F16mPsW5wvCOcmHC0/lVmm9dmcU8A32WZeFTX/762ayqG8M+zNPcmh/AyO52eSXpjJ6aJT5BafIr84E1vJYaKjLiEnZwsnM49z01ffEhHZHQkZWVJ0LZJsQka2/5YKsiSjyCZsQiLf3JKwqMuRJQlF0hMVKhIoksSugiIk8NjAtqioiM8//5yvvvqKfv36Afp98+uvv2bWrFk8//zzHrUnNPHXiT7nJYbA4iYO1Wyg4M+RON7a0zd+Q8HpNBRFIToi3D59pLtlC2HXsZRzTFn5xTJWfvY1oUu/1dXI5zi3VOJUQk6xfgpGWPS3HaeTi30sDkFRk8Ih/H4K8gprfVxz586tcludpBcQ+Fz1u2/fPhITEwkODqZ3795Mnz6dpKQktm7ditVqdcni2rZtW5KSktiwYUOtBJY93xzkp28Po5X7/1RHULgfPEUsFiSLhZjLexCWnOj79mtAMpk8mhLSH4YaIxsn8bekDj4fT3GvWIZcprgEQ3z2vpfZvn07A/vdyOC0US7158yZw8svv8xTd75AeLjvDU13HkrnUHYap4vPsuzEIQ7mpXM0P4P0Al0QySk+TWHpGazWswjbWaRzfMmEHInJ3ICQoIYkRLUnpcFInu92C70/1s/XqKieSEhoQsWmlSKEhkDVv4WGJlQEGkKo2EpPYZO3ctTUA6fDePl7C9DI4vkj0GazoapqhSnjkJAQ1q9f73F7QhM0yCzl+SnrdMFFkvQYj5JEQpdY7rq2/hMYqjaNgpz6dzoxBBY/UJNtwb333suqVas4efIk4eHh9OnThxdffJG2bdu63YckSfbcML7H8daecN1dHu1XeGI32acykSR9/lyPuVHJR7a/1ckSv/6WQWJ8OEmJkWVGoxJlRqaS/vaXV2hm7wkoVGL8cch1giMQla/o2bMn77//PikpKaSlpfHMM89w+eWXs3PnTtLT07FYLERHR7vsEx8fT3p6eq36O3siHyHg0p7xzhgqkgySLNvX7fFWZJmgMBONL27kg6N0RWkQQ1BuGnn/vpuMmGS6//Kdz/uoDllWkDwQbBVnBFv/eP9UFwyxQ4cOFbRvS5YsYdSoUT4XVvbkpHPTt6PRbGdpKARPHLO5VpDDMZljCLHE0ii8BTHBl9AoNI6m4fG0CE+gVUQ8bSIbE2qu3J5kx5gdHo9p5PLHOJy9h2P9u9TmkKokIiKC3r1789xzz9GuXTvi4+P5+OOP2bBhQwXtrDv06NeMraYTKAKEarcT0gSm40Wkp56GOhBYNFXDVqphCSkTCYoLrOzfmsnB7Zmc2JuNpgrCouvXQNkQWNxEIDx62FRnW9C9e3dGjx5NUlISWVlZTJ06lUGDBnHo0CG3bSX8GQKsqrf2mug14U2P+7rczXon9x1j73/3gXIen7ISPtXiDB061LncuXNnevbsSfPmzVm0aBEhISE+66c8sgSXjK1ZUzB16lSeGVS10J6ens7EiRNZuXIleXl5pKSk8OSTT3LjjTdW227H/07izNbrOP7Gu8gHdtb+QGqJJCtIHmhYHAKLrQ7CDNQUDHHr1q2kpqby9ttv+7zvfbnpCGsmEtC+xb/o1qAJyREJtI5sTJvIBMLMdR9IrshWiEkJrbliLfjwww+54447aNKkCYqi0K1bN2655Ra2bt3qcVtXX9yYqy+uaJfz/EsbETb/nTd5WcXsWH2czMO5ZBzOxVaq0ebSeLoPbUH6wRx++Xw/pcUqia2i6HNjKxq3jCIuKcJv43GH8/juX7d4+pipyrYAcAlG1qJFC55//nm6dOnC4cOHadnSvWiHklQ2d+xLqntrj4io35MVzn+3T38+t6Kjo2nTpg379+/n6quvprS0lOzsbBctS0ZGRpXnZU0ID20DqxPab7vtNrKzs1m6dCkNGzZk4cKFjBo1ii1btnDxxRdX2aYpOIj4y7pwckEs7PN/FuVzkU0mjwQWUx3kCHI3GOLcuXNp164dffr43uvvmmZdmRKcTIPQJD694gGft18bim0FWEz+EdxbtmzJmjVrKCgoIDc3l8aNG3PzzTdz0UUX+awPYdOQTP7xtDvyxxlWzv0DJGjSugGXjrgISYJtK46w91fdHqptrwR6Xd+SsKjAiVpsCCwe4MnN2l0tRUFBAfPmzSM5OZlmzZp5NBaPQvy7SXVv7XfeWTEgmoFnCD8m0svPz+fAgQPceuutdO/eHbPZzA8//ODUWuzZs4ejR49WmYqgRjx86FYntP/yyy/MmjWLSy+9FICnnnqK1157ja1bt1YrsDjQvXXqXmCRLBYUm/u/w6miU0AY+7L3A139MiZ3giEWFRWxcOFCpkyZ4pcxgD10ghI4sapKbEWEBDX0ax9hYWGEhYVx9uxZVqxYwUsvveSzto8EbSTT9Dt3vP8hJtmMSTLpH1n/KJKif8uKc/nq9ldySZvOVbYphGDvpnR+/HA3zdrHMPD29gSHldmate+byMl92UTEBBPbpH6D6VWGIbC4iwf3ane0FP/73/947LHHKCgoICUlhZUrV2KxuD8/6C8voXMp/9Zevzgi+NbvKLxBSPg08++jjz7KiBEjaN68OSdPnuQ///kPiqJwyy23EBUVxZ133smECROIiYkhMjKShx56iN69e/vEQ8gdqhPa+/Tpw6effsrw4cOJjo5m0aJFFBcX079/f/caNykeeev4CslsxqS6/z8MN4fZv/13868pGCLA4sWLKSws5LbbbvPbOFS1mGA/aTRqg1UtJMYU5pe2V6xYgRCClJQU9u/fz8SJE2nbti1jx471WR+7Gq7DpmaiWhNQsWHDhooNDRUNFVVS0dDQ7N8lpkLWrP+BVy2vIMu6p5QiSyiyCVmW0ayC379N5+i2bNr2SqD/rW0r5OOyBJto0cm/Qp43GAKLm3jymHFHSzF69Giuvvpq0tLSeOWVVxg1ahQ///yz28HKnJk//Uz5t3YD71AlCay+e8geP36cW265hTNnzhAXF0ffvn3ZuHEjcXFxALz22mvIssyNN97oEjiutniiYKlJaF+0aBE333wzsbGxmEwmQkNDWbJkidtGi7LJVD8aFrMZxYNuoyxRQA6xIfpDIC8vj4wTaSQmNSM01D8P9/LBEB3MnTuXa6+91nlu+KffYkICSGBR1SJCzf4RWHJycpg8eTLHjx8nJiaGG2+8kWnTpnkUGbsmioKsNIm+gm+GvOBW/Zvn3s4u01ZuXlO1HVioHMG8Oz6l/aXua/MDCUNgcROBrtWoDZVpKaKiooiKiqJ169b06tWLBg0asGTJEm655Ra32pTwT/6J6t7aDbxDlSQkHxrRffLJJ9VuDw4O5u233/apkaW7l0BNQvuUKVPIzs5m1apVNGzYkC+//JJRo0axbt06OnXqVPM4TCbQ6sGGxWzBVEm3JYX5nDq2l6wT+8k9eYSitBNYMzMoyjzLK9kRxOeeZXP2WcKLdLf8FSOu4/qXp3s9nuqCITrYv38/a9eu5bvv/OtRJbSSgBJYNK2Iw1mp/G3Vs5hkExbFglk2E2IKZmKnv9E8PLbWbY8aNYpRo0bVXNELVK2UYJP7U2wzr3uR3w/tQtUEqlDRNK3ct0Z26VneOv4K9xy8heVdlxNuCbwpn5owBBY30UTtxYOatBR6zBJR4a2oOmQJv7g11/TWXl/4M/dNXSFMEpK17h+yvsIbu9HyQvuBAwd466232LlzJx066B5HXbp0Yd26dbz99tvMnj272rbUUiuqJmESKrasLOSgIJAkpweWcAT+0TRQVeeysH+wf4SmudRzJmYUmn3qTt+mFhRgPXSY0qNHifk5FUXAt3cMQcnKJTi7kLCcUsKL9L7NQCxQqkBupIISHUJRg3CyW3enKL4xIfGNCH5nls+mBqsLhujgvffeo2nTpgwaNMgnfVaJKCHEgwesv0mMuZSM3N3szVyPEFYQNoSwImkFhCrBvHTpmPoeIgAPbniH/Wf32QPfOYIJymi2sx4JLI1j42kcW33ajUPr/uTbg99y1/d38d7g9wg1+8eLyl8YAoub6IHj3KM6LcXBgwf59NNPGTRoEHFxcRw/fpwZM2YQEhLCsGHD3B6Pv4LY1fTWbuAFZgWpxFZzvUDFC4mlvNBeWKhrGc6NMKooCloNdim7PvyBn9YLGqcV0E4tZV+fy2o9ptoQDNgUMB8/RWlsOHlNW1AY15Dc+MaEN25GVJNk4pLa0KBhsyojqK57ZxaSj+KgVBcM0cELL7zACy+4N61QW6yaiiRKCAugB+CKYa9WKMsuLebyj3sQbAqcbNKr972LpERgMkUBmj13k0CxxHNZgu/SeADMuHwGt3e4nduX386ENRN486o3Mct+CPDoJ7wSWGbMmMHkyZN5+OGHmTlzJmBPuPbvf3uUcO32229n/vz5LmWDBw9m+fLl3gzPp+hTQu7VrU5LYbVaWbduHTNnzuTs2bPEx8fTr18/fvnlFxo1cj/QVl0Z3foLIQQfzX6bnNw8HBZCwhECF0ciNlA1lRKrlVJNQo038efBFCy/RhIaHkJYeAjhkaGEhYegmAI/2RpBCnJhPWQY9hUeyCvVCe3R0dG0atWKe++9l1deeYXY2Fi+/PJLVq5cyTfffFNtu7knspFEJM2v6oTSZSwR5mKEPYmd5LhAHS7/etx1HBmuJVm2RxG1ByW0r0uS7IwwKjnqy5JzPzkkGHNSc4JatcKcpAsiNU9aVU1IYSFyAIQI8CU5pXo6hjAPp4RatGjBkSNHKpTff//9vP3227WO11MVZ0ryAYj0k22Lp6h2QW9w64d4pY40Pm1j2jLzypnc/f3d9P24LytuXEF0cHSd9O0ttRZYNm/ezDvvvEPnzq4uVLVNuDZkyBDmzZvnXA8KChzfb9A1uO6KB9VpKRITE30yl3y+z5AU5eexP+M0JtWKyX4w+lfZgUkSSJJMaHAI0ZYg0vLyOZi1m4Pf7a627RApCkU2YzaZMZssWMxBWIIsBAUFERwcRHBIMCEhIYSGBxMapgs94RGhhEeHYbH4721DClKQ/ejW7G88icNS09Tid999x6RJkxgxYgT5+fm0atWK+fPn16hl1DPbKlj/3EGbd/znousvNFUlpLgI5QITWLJKCwAI91DDsnnzZlS1bJp0586dXH311dx0001A7eP1VMWevGwAikVgaBXO2gU9T383b+nVuBcfDv2QW5fdyuJ9i7mrk2dRzeuLWgks+fn5jB49mnfffdcl0ZM3CdeCgoJqHdCqLhCIgMolZA+bWt+DqDUO1X+Pi7sy+Iab3NonP7eQ7NO5FBQUUZhXRGFRMUUFRRQXlZCdm8X+E3+QENUcSciUWkux2qyUFOWiFthQhRXN7hLozCZXGUJGxoSCCUU2Y5J1ocds1gWf4KAggoKDCQ4OIjQshNCwEBKbNaJ565oztMpm2aOw7oGGbiPi3jVQ09Ri69at+fzzzz0eQ3RSDByFrdJl1I1ztm8pKihEFgJLxPln8FgdZ0t0gSXCwwfvubZxM2bMoGXLllxxxRWA9/F6zuVksa5hCQoQ4+Asu8bH09/NF3Rt1JXBLQaz6siqC1tgeeCBBxg+fDgDBw50EVi8Sbi2evVqGjVqRIMGDbjqqqt4/vnniY2t3Iq7pKTExUA1Nze3NofhEYLA0mpIknR+xyRxahrc/1HDI0MJj6zuwv5bjW1omkZJsZW8nAIKcgspyCuioKCQooJiigqLKCoqpri4mJKSEkpLS+yCTyklhUXYNKtT8BGS/lYYmZNDp993cEpuqBtrCg3JYbQp7Aae9rIgm4okBHt646yL3fBTCLsBqKNcOMrtxp/ltwOx9z5Go4fr1tU8P99KST1riNr98ypO/PExRzMCxwbBE/KyswEIusA0LIcL9Xuwldr/X0pLS1mwYAETJkxwGtl7Ha/nHCIlffqwc1SDWo/TlzgElihL/UxRXZpwKSsOr+D3U7/TOa7qgHOBgscCyyeffMK2bdvYvHlzhW21Tbg2ZMgQbrjhBpKTkzlw4ABPPPEEQ4cOZcOGDZXm1pk+fXqF5IL+xiYE5kCSWM5zHCH269r7R5ZlQkKDCAkNgsa1T6Ros6kU5Bay/amnaZieTnFyE5BkkGWELNvtJGSEouiJKmUZmw2CzArmELNuKyHLSLKi21IojnXZuQ1ZsS9LdnsLGUmRyf70XUoOV5z39zWqTaMws5D8jEIKMos4eCzf7326Q2GBRrBU7JO2KrPDmzNnDgsXLmTbtm3k5eVx9uzZCve02pKfoz/YgyIjfdJeoHC0MA8AIdd+Kv/LL78kOzub22+/3Vnmbbyec8mx6gbf9SUgnMtZ+1RaZD2NZ1DzQTy38TlGfzeabbduC3gDXI8ElmPHjvHwww+zcuVKtwOcucPf//5353KnTp3o3LkzLVu2ZPXq1QwYMKBC/cmTJzNhwgTnem5urkdh7WuDVQssgaUmb4pzKS7K5tcfH0PVCvW3eexv8IhqloV9WdOXca2jK0fEOR/sUy6VlNsRQLENwsO7+TT4XWUPn/79+7NmzRqXevfee2+NrrM1YTIpRMVEEFRwlqLYWHp8M7/mnXxEzufz7cah/mHHx7vZtC6tUm1KdFj9OxYWl0oEm7w3Xq7KDq+wsJAhQ4YwZMgQJk+e7HU/Lm3n5GIGQqMuLIGlgaJ7v3WLqv1LwNy5cxk6dCiJiYnOMm/j9ZxLnlUXEKIDxJspt1QXoKIt9TOe6OBopvWdxpPrn+S+Vffx+pWvExYgBsmV4dHdZ+vWrWRmZtKtWzdnmaqqrF27lrfeeosVK1b4JOHaRRddRMOGDdm/f3+lAktQUFCdG+WqApQAElg8c7SGo3u+xxryA5pNxlYUrO/rTEbkWC637vhIDssdybWedE7dCm3JlbRZRliDw0TlpNPhYt+47VX18AG4++67efbZZ53roaE+vDlkZqJWMXXpN4Sma2b8xLFdWSgy9O6ZQFhMMGFxIYQnhBIeH4YpJAAEFpuZuDDvBJaq7PAAHnnkEUCfpvY1Rbm6wBIeHeXztuuTPLvmokEtH7xHjhxh1apVfPHFF84yb+P1VEa+VTdyjQmqfxuixYd/ZcHuhYDnv5uvPHQBrm15LY3DGnP/qvv5cNeH/KvLv2p1PHWBR3efAQMGsGPHDpeysWPH0rZtWx5//HGaNWvmk4Rrx48f58yZMzRuXDHldn1hEwJTIMkrHiLsGpmOKR/QuHktk9/5kBXft6NN69Y0ad7C67aqe/iALqD4y6DbnJWF1s1z4z+vEEKfQvIThUU2YhoE021MxYy/gUAJQQSHlnrVRlV2eP6mOCeHSGD32bOcRRBqMRNqCSLUYiEs2EKQyVxl/JZAJs8pCNTu7XzevHk0atSI4cOHO8u8iddTFQX2cdZWsPIlU9c9hKQVoimxtIxwP6SFrz10AS6Jv4SY/2fvvOOkqO///5y6/SpHOTqCoChgRbFEo6JosH4lKjFGjRpjxWiEqLHEgolREjVYfgbxqwRLRI0NUSKgggqCigrIAdIPrt+2qZ/fH3N3cHBl7273il+ej8fc7s7Mznx2b2fmPe/yevvzqDAqWvox2pUWGSyRSISDDjqo3rxQKER+fn7d/FQarg0bNowHHniAc845h2g0yt133815551Hz549KSoq4ve//z2DBw/m1FNPTcNHTA8uotXS/J0Bw97gPVpbO3YgdUh1eSxtpbmLzwsvvMDzzz9Pz549GT9+PHfccUdavCy2ZeGvrsbOcDhyT4RwEcgIITKSA5QwHLK7d/wJvTFsSccXab2Htak8vEwTW1+EK0lcWu5CRfneKwgX1XFQXAdD98LummWiuA6K66IKF9V1UISL5goUXDQhUBFoCDTY9SiBJkk1jzKaLHmvFRlNltFlGVWW0KSax5rnmixTsWkD2Xl55OR1Q1dkNFnBpyroioKmKKgqJLUEPl1HQrCpehPQOkPAdV1mzJjBJZdcgqruuiQNGzas1Xo9jRGzYgg0NKVjPYWW6yC5cU4adhP3H34JwRRvQDJRoQvw8pqX2Rrbyin9T2lyvY4m7f+1VBqurV69msrKSsCzlr/66itmzpxJRUUFhYWFjB07lj/96U+dToulU5krLYsIIeOdSBS5c0hne8Uvbe+r09zF56KLLqJ///4UFhby1Vdfceutt7J69ep6rufWUrF+PYrroqfBS9QShOtirq1k45RFRIGE7E2WIuHWTEKRQZOQVAVJk5F1BVX3HmVdQdFlFF1B1VUUn4KmK+h+Bd2vkrAF4ZzOdezVYlTHcRWdQE7rylIzlYeXKr3LS7AVmf/t4Sdh2SRsi4TtkLBtkrZN0nVJCoek61IRrSRLVQjIMpYQGMLFFAJTCCwhMAFLCCzAFGAjYUgQQ8ZCwkbGrnuUcYWEI8k4royLjCNkXKHgKgo4eFMtBUO8x0rB3gshWDmHUOUex5AcRm+FIfD++++zceNGLrvssnrzNU1rtV5PY8TtBJLsI24Y+LX63qyKaAxFU/GpGposZbQgoMKs9fSEUjZWIDMVuluiW/jr0r9y3pDzOKxHepV1002bDZY947ypNFwTu2lRBAKBeo26OitdWD4DAFX29A40rfVJceml7SeDVC4+V155Zd3zgw8+mF69enHSSSdRVFTEfvvt16b9V6xZA0D2kNZVLLQWC5c1eTrhEXmIpA1JB8lwkCwXyXHRbYFkOSgxgeKaaAI0F3S8ydfEd+8IgSWgquNTVRoktrkEgGB+60IPzeXhGYbRYGViunCrq0BROGX4ARnbR0sQrovj2Ji2g+U4GI6DZdtUlJXiKiqoWs28mmWOg+k4TP9mOaWBLC457n5cAbaAg3Ka1yJqiLFjx9a7JuxOa/V6GsP84TtCsQTTf+mlLNiKiqOo+MxdVWcCCVtRcBQVV1FxVBVX1XAVFVHzXNS8LzvgR1Y1ZE1DVjUUzXuuahqK5uk3qbqGqukoqoaua4hEjB0lP4AEO7Z8wUI5yxO3VHV01Y+u6vh0P5FgNnlZu0JFmajQBZi9ajZ+1c/Nh9/chm+2feikp6XOR1u6NXcFmpPIrkUIwemnn867777LnDlzOPvss1u5x7aHhFpz8Rk9ejTgdbBtq8ESW78eHcgdOrRN22kpknBRekc4+aKDml95D2zHxbAcjISNkbQxkzamYWMlHaykzebN1fD+NpZ9U8Lyuz5G0iQUVUbRZBRNQdNl9BqPTDCkcupJA4mE208TJbatDIBQ95xWvb+5PLxMGisAbjSG0DpP6agky6iyjrrHkHo3k0g++1MQtspv9v9JBkeXfrKcGJrQyJt4JZZlYZkmtmXhWCZmIk6v/gOxLRPHtLxH28IxTRzLwrUtXMubypJJVNsmFo0iOTaSbSHZNrJjI9sWSs1zxbHRnL37h5mqC2NhYelbLCx9q8GxSgKeOuJvHDX8pxn1DFab1fQK9eoS3Zv3GSwp4nayzj0tvdSLmioeqRHvY3MS2bVMmzYtfa7SNoaEWnPxWbFiBUBaErqTGzeCz4ee3b4VH7IQ0MoqIVWRURWZkL/hi+agqMlXX5UgEg5ulYnkgnAErqCmbb13Ny0jUQ28kXSY+PP2S86N7fBCyaFerRP+SiUPb/v27Wzfvp21a9cC8PXXXxOJROjXrx95eW3zUIpYDOHrmqJ3u5MUBr42iMR1FJZjEJB1Lj3zzHbZnxACw3UxLYuEYWKYBrHKSipLd/KTLA3FrcayTUzbE6g0HRPLMVmz7VteSLxNVcL7vWeyQjdqdQ59pVTYZ7CkSEv6qLQXUms8FI28pTmJbPAu9n/9619ZunRpmy/4ngHVNg9LcxefoqIiZs2axemnn05+fj5fffUVkyZN4vjjj2+w/LmlONu2YaZJUKwlKMKtaeqXfiJhnSn3HNfkOkIIin6oZO7ULwiF2tdbEC+NAgHCfQqaXbe1PPHEE/WEKY8//njAS2LcXdSsNYh4HOFPf37QwoUL+ctf/sKyZcvYtm3bXt7PdDeYTQqTLLnz6nU0RtxNtquhJUkSfkXBryhk1XpGCgqgGeG7Bcvf5oWv3ibs9xSRM1GhWxwrZsY3M5i7YS69Qp2nIrcpul79XAfRwhzXjNNiD0uNCFhjHpbdqZXIvuyyy+q8KfF4nIsuuojHH3+8zSXCO3euRdfjuO7ertJ0ous677//PmPHjmXYsGH87ne/47zzzuM///lPWrYv7dyJW9D8hXPAgAFIkrTXdM011wCe3sQ555xDQUEBWVlZTJgwgeLi4ga3VVueToZDF00hSRIlZV7SYLdu7VtNlKhMojhJtHD69vvhhx/WaVkA3HXXXYiatgi7T201VgCkZBIC6e9jE4vFGDlyZJO5g6eddhrbtm2rm/71r3+1en+GMAl0kgT+lpB0DfxS6gbL9OnTGTFiBFlZWWRlZXH00Ufzzjvv1C2/6qqr2G+//QgEAhQUFHDWWWexalXTzVlTIWZ4ysHhgOe9rb05233a/eYsOzu7rkL3v//9L8uWLePSSy/dq0J3d25acBMvfPcC+2XvxzOnPtPmMbcH+zwsKdLZegnVGiyVpRtYvOhsUExPz43dFGhrHiUJFJ9nHKSikNqQRPakSZMYM2YMZ511VpvHHottA6B79/S3r9s9Cbxv3757qdymE628HIbs3+x6TYXbYrEYY8eOZeTIkcyfPx/w1D3Hjx/PkiVL9tbkqN1OB2t17NzpaWT07Nm+d9mJahO97cVlHYaUNJF6pN9gGTduHOPGjWtynXQ2mE1IJmV2Bd+uX45f9+PXg/j0AP6aSengsuHGMIRJrpy6ynCfPn2YOnUqQ4YMQQjBzJkzOeuss1i+fDnDhw/nsMMOY+LEifTr14+ysjLuuusuxo4dy/r169uUD/WPFf+AAOSGUxelTKVCd3cuPvBibllwC+sq1/Hsyme57ajbkFO5o+1AOuevqhPS2TwstZTv+A4tqxq3cjia1g1JyNSqz0q1irOShJSQ0AM55HdvvmxtT4nsN954g/nz57N8+fK0jFmu6Vfh83WOBmStwUwm8UdjuClosDQVbps3bx4bNmxg+fLlZNX0l5k5cya5ubnMnz+/Xpki7KqwS1ce0QMPPMCrr77KqlWrCAQCjBkzhgcffJChuyUSN6SgecLJ1yMDhT3a2WCJO/iktonGdSSyaSJCHZPc2JIGs82hIPO9v5ifL/xlg8slFxQhobgyF3U7k5vOvqfB9dobAxN/C/odjR8/vt7r++67j+nTp7NkyRKGDx9erwpxwIAB3HvvvYwcOZINGza0Kak/KVn0jIbp22NQo+u0pkJ3d04bcBrH9z6eGd/M4Ikvn+DMwWcysmBkq8fcHuwzWFIk4Tg8un49W0uXIEsgIdWaBUiSZyLUVhHVPt+1rGZdyUtWrBWs35RM4gqvT48Q7OrYIwRuTYaK99yb74pdnXne0LyD4fJtO/kDENnvfzhqRMMnj5bQkET2/PnzKSoq2qtk7rzzzuO4445rsYR5rcHiOF33wlO+bh2K6xIYOKBF79uzI61hGEiSVE9zyO/3I8syH3300V4GS12jAzk9BsuCBQu45pprOOKII7Btmz/84Q+MHTuWb7/9llDIM0YaUtCc9tcbuOnkh5l+00IcGVxZwlVAKBKoMpIqIakysiaj6DKapqD6ZDSfgu5T8fkVfD6VQEAlENDIsarona2jRwJoWUF82WEU3975MYYBPtXZa35XQbEsRKT9DZaWNphtjhnjn2P1lpWYVhLTNjFsA7NmMhwD0zaxHZN/l89lfeWG9H+gVmJINkG1dR4ux3F4+eWXicViDeaFxGIxZsyYwcCBA9vc2y4pWRwRbnkVYEsJakH6RfoBdIk8ln0GS4ocxLcUOQOYVZ6DQMKtMTs8A6L+89oJvOTSmnviXe/Zw+1WQBmS5L1Lrllb3m0rMqJmOXXrFEolbBXd8GEAYOlGWj5nQxLZkydP5te//nW99Q4++GAeeeSRve5AUkFVvRhypnNYMknlmu8ByGph19g9w21HHXUUoVCIW2+9lfvvvx8hBJMnT8ZxHLZt27b3BmpCQVIrpcn3ZM+ky2effZbu3buzbNkyjj/++CYVNDdfsIW+vYdjGQ626eBYLm7NJGyBSNpehZEjcF2vvYXtgoVELIWxSa6N4loowkLBRsEhLufRO1CWls/e3gghUBwHEWn/xoctbTDbHAMLhzKwsPly/jeenEeokzQaBDBlm4DSMoPl66+/5uijjyaZTBIOh5kzZw4HHrirMu4f//gHv//974nFYgwdOpR58+ah621L7DVki3A7dXD+cueX9An3oXsw9fYAHcU+gyVFbpP/zMCB19K/3xWt3obnzhe7vXYBuU29QzZt/oo1a+CAbkNavY1aGpPI7tmzZ4Ox7379+jFw4MAW70dWtJr9tb3jbkcR37AeH5AzpGXf+57htoKCAl5++WWuvvpq/v73vyPLMhdeeCGHHnpow7+LWoOlrR+gEWoVqGvLd5tS0OyeX8Jvrz60we00hW27ROMW0ZhJNGaxZuEyekz/K87Ey8nt3g07YWLGLWzDwkp6xpBlOtimwLbLOOjUtv/WOwKrqgpZgNrOZfAN0VyD2XRhyg6BTmSwWLJDsIXdiIcOHcqKFSuorKzklVde4ZJLLmHBggV1RsvEiRM55ZRT2LZtGw899BATJkzg448/brVeihACU3GI6JFWvb+lHNr9UF5c/SJf7/yagwta3gG7PdlnsKSIEA6S1Lavy8s7kHZ73fYEJ0ny3LmuaPvFvzGJ7HTj2J43qCsbLMbmzeD3o0VSP6k0FG4DT+mzqKiIkpISVFUlJyeHnj17MmhQA/Hr2rBjGtoa7Inrutx4440cc8wx9TRJWqug2RiqKpOT5SMnywuDlSyqJKv6B3LPOYae/Qvb9Bk6M8mdOwDQcjs+d6s9GswKIbAUl1ALDYRMUTeeFnoudF1ncI0n9bDDDuPzzz/nb3/7G08++SQA2dnZZGdnM2TIEI466ihyc3OZM2cOF154YavGmTDjuDJEfO3jiTt1wKk8s/IZ/vz5n/nf0/+3XfbZWvYZLCkihIXcgnK49kKiJs6fhgtYUxLZe5Lqeg2xfMVv8Pm6tsHibN2G2cILT0Phtt3p1q0b4OUM7dixgzMbELeSJC+0KGWgV8Q111zDypUr+eijj9K+7aZI7NiJg0Rer8xpq3QGkiWlAOgZMFii0Wid0B3A+vXrWbFiBXl5eeTl5XVIg9mkEcdVvDyJzkDSjCMkCLYx1OK6LobRcAi+tgS+seWpUFrpGbZZgZxWb6MlKLLCWfudxV+W/oW4Fe80/6+G2GewpIAQLkLYdcminYlaL40QXScfRNO8fjADBnTuzqBNIZfsRNQYGKnQWLgNduWEFBQUsHjxYm644QYmTZpUr1KnFiEEQkq/wXLttdfy5ptvsnDhQvr06VM3v2fPnq1W0EwVq6SEan8YXe98x1c6MUp3AqC3US23IZYuXcqJJ55Y9/qmm24C4JJLLmH69Okd0mC2Ol6jStxOuRi1fP7dQq5fdCOOJJCRkEVNAQQS+FpmsEyZMoVx48bRr18/qqurmTVrFh9++CFz585l3bp1vPjii4wdO5aCggI2b97M1KlTCQQCrW7OCFAR9QzbnGD7eOKqzWr+/f2/ObzH4Z3aWIF9BktKiJpwiyR1vhOqJNeGhLqGwWLbBpIk8Pt+TW5un+bf0EnRyitwhw5Lef2mwm2rV69mypQplJWVMWDAAG677TYmTZrU6LYE6QsJCSG47rrrmDNnDh9++OFeOUmHHXZYixU0W4pTWkY02P6JqO2NWV4OgC8/dUM3VU444YQmvZ4d0WC2Mu593rCvfXIxavlm0wqiPotxytEokowjXBzh4LoOiqwy7rDzUt7Wjh07+OUvf8m2bdvIzs5mxIgRzJ07l1NOOYWtW7eyaNEipk2bRnl5OT169OD444/nk08+oXv31iewltcYLNntZLBMWzaN7bHtPHLCI+2yv7awz2BJgdrQRaf0sNSEhIToGqWe5eXrkSRBONyvo4fSaqxkEn80it03dYOrqXDb1KlTmTp1akrbkSQJIUl1ysVt5ZprrmHWrFm8/vrrRCKRuryU7OxsAoFAPQXNvLw8srKyuO6665pU0Gwp/pjDAH9Pyl78EDmgIQV8KGE/ctCPHA6gRIIo4SBSQE9fH6sOwK4xWPxtuJh1JSpiXjVXVqB9c3ZqVWL/NOHv+PS2qfE+80zjCrCFhYW8/fbbbdp+Q1TWfG8tEY1rLa5web3odX598K8ZlNO45ktnYZ/BkgJ1HpbOaLDUeFi6Skho3dY1AMyd+zmz52zAkRSErIKiIStei3ZV09F1HV334fPpBPx+gkE/4YCfcDBAdjhAVihITiRAXiSErrXvz7iiaB2yEAT7D2jX/dbiIuE66TFQp0+fDnh36Luze9+clipotpRePY4lMLAX8eXgqRElaqb6COGCa4FrexMOks8LrwhrG5IiQBFIiuTpwOgykqYg+RRkn4YcUJH8GnLQjxIJEBozHLkdfztmRQUq4G9BKLErU3vhzQ61r8ESN2NILm02VjqKykQFALmRzP9OKo1KDMdgQNaAjO8rHewzWFKgzsPSCZNu5ZowlegimiYVpnfS1nofS66lYBgmlmnUtXK3jQR2vArDtZGFjSIcNKnp8IcjJBxJwZVUhKyA6uPin5/HQYN6Z+QzVK6t0WAZ0jINlnQhJBnHSV9IqDlaqqDZUhKRnmzNkfnJ+YNwY0ncaAInlsRNmIiEgZswcZMWwrARSRvXshGWizBdhF2bD2IhLBlMGVcoICkgad5NhqwhKbvfbFiARfK7uRT8puEE6EzgVFaCLKNone88kgmq4hUA5ITSn7PTFHErjuZ2bon5pqiqNViyMpeELoRgybYlPLbiMTRZ46BumRepSwf7DJYUqDVYOqOHpTZM1VU8LB9+9w3H9PRxw4XnIaeo1mpaNhWxBOXVcSqrE1TFE1THEsQSCeIJg3gyiWEYGIZJrLKUQHwHr839kI0jDyY7HCA3K0xeVjBt3pjYunXoQO7+zfcRygSuLJNYs4b3/vlvZElClmVkCe9RkdBUjRHjjiMQ7hzlpM0RcmFndgDfgMyV2LpJE6c6jlMVxymtpPzVEowNNiUz5iL7NaSAjhz0oQR9SEE/SjiAHPIjhwKeF0ZXkVSlTSEpNxoFreOaVrY3VQkv6TY3q309Sp7B0nW/52qjCsWRCPgzc/yuLlvN3Yvv5uuSrzkg7wCePOVJ+kS6Rj7hPoMlBYTwJOTlTph0S82YukrSbWGkmrJkbsrGCoCuqXTPidA9p/nkvXVbdzLjyX9A8fd89t73ey23hIItqbg1YShJ0VE0HVXX0X0+/H4/Qb+fUChAJBgkOxIkNxwiLztEt+wI4YCOsWkzbiCAHu6YnjDVkTyGL/8Qln/Y6DqfrPktJ912XbuNqbW4tkuWkFAjmfU6yH4d2a+jFeTg9sqj9F/fI/vySK6uXUMAyZqpssFtCNepCUk5nkdTOF5oSjh1sgKiptloHdKuxzwxBmf00Xx9xxyG3HwK/uyO+f20F9XJKgCy29nDYrgGmui6BkulUYnuZGb81WY1V827irxAHtNPns4xhcd0qbywfQZLCrQ26XbhwoX85S9/YdmyZWzbto05c+Zw9tln1y2PRqNMnjyZ1157jdLSUgYOHMj111/Pb37zm5T3IdeK2XURgyXXV47tpM/V2dB3/Ic//IGdFdWUV8cpq6rmib8/zNw35hCPVTNgyAGMv/AyIjl5WKaBY5k4RgwnXoHpWiSFTVQ4jXbmdoTE6O++Y79Egrk/OR07EMIJhhChMFIoTL9zzmDUqcel7fM1xHEfvIlVWYXtuLhC4NQ9ChxXsPF/zsOqqs7oGNJFVYWXq+LPzlx57Z7IQT/9HjkT13Zwo3HcaAK3Ou6FoWIGbjyJGzdxkwbCsBCOAAeE64JdE0ZzQLgSOBpCaDWNwLxmX0KImsZfov5zw0Eij1wrQmzLzh+dwVL+5TwcI46s+ZA1P9Xl61EcierKdahaEE31o2khVNWPlMFuzknHQHe77qXtP+YiyJD9/sSXTxC348w+aTY9Q+mRJWhPuu5/tR1pbVlzLBZj5MiRXHbZZZx77rl7Lb/pppuYP38+zz//PAMGDOC9997jt7/9LYWFhQ2KhjWELHuJZY6bnl5CmUalBEMakLbtNfQdB3wa/Xrk0a9HHg8++CBzX3uZmTNnMnDgQO644w7mPDONb7/9tlHpbNd1qYomKKmKUlYVo6I6RmU0QTQWJxZPsMWfh9NrLZJpIUWjqLEoasl2+u74AT58HVZ9l7bP1xBKIIASaLwfSpGi47RBuKo9qdiZQAWCOe1nsNQiqwpyTgRS8Nyli6LXPoYlLv68H1cZd8XX/yV3zv/Um9c7K4KTn8sJb0/Ya31VCDQhvHw2AWpNvaOG5D2XJDRkVElGQ0aTZFRJQZNkNElBlVU0SUGTVe+5rKLJGqqsscFejy667qWtl5vHNjn9/bKEEPyn6D9cMOyCLmmswD6DJSV2eVhaZvaOGzeOcePGNbr8k08+4ZJLLqmr0Ljyyit58skn+eyzz1I2WFTVu0tznb2rKlLBU2Z0AAfXtTFtG8M2sWwL07boltUDfxqz7QNKCQk5PeWw0PR3LIRg2rRp3H777Zx11lkAPPfcc/To0YPXXnutXkO43ZFlmZysEDlZLYshfzfsAKoKOl5a3lZVXLNrqAhXlcXJA7LzO7dgVbqwo0l86Phzf1wGi1nyAwBbj7gHPb8fwkpyghGjt7wTNejDcgwsx+vgbDkmlmtiOxaWa2K5FrZjY7kWlmtjCRvbtWueO9jCxnIdLOEScy0sDCzbxRYuFi4WAksIbMBCEJMlRpZ33e+3mx3B76Q/aXhz9WbKjXIO7d7y/l+dhX0GSwq4GRKOGzNmDG+88QaXXXYZhYWFfPjhh6xZs4ZHHkldwEdRPIPl67Wz+WLNa7UjRkKgKwaqZGE4fmTJRZIcFMlFllxkHGTJRZGbrjZZDWw2TkKWQyhKCE0No2phfFoEv+5NIX82IX8W4UAWWcFsAnqwwbio65qEtSrico+UP19bWL9+Pdu3b6/XuC87O5vRo0ezePHiRg2W1lLtC7Hz6Mw1kksVR9FwTbOjh5ES8QqDPCAnv2UddLsqTszEFhKKrxPmw7UBtybBNnvkaYT67FJo7t8BY3n1ujNRlK5bJRR3EwTk9Jdkv7j6RTRZ4/Aeh6d92+3FPoMlBYRbk3Sb5iqhRx99lCuvvJI+ffqgqiqyLPP0009z/PHHp7yNdSXV/GvVOQzIqWBAt1yQakSoJRkoJy51Q1IVQPEaJUqK53StfS4pSJLqTSjIioIqa6iKyrYd81GczShsQHUTaG4C3U3id5LIhkCwSzGjZLcxOa6M4fgx3AC268cmiEsACZXCAGha+7gja0XQevSobyC1pXFfY5hJg4gRo6Kg4zU2XFUFq2sYLMkqEwtBz9zMGixTp05lypQp3HDDDUybNq3eMiEEp59+Ou++++5eeWbpxklY2KLrXkwbQ9QYLGok82JnzWHbLj5/1y0dTwiDPDV9Hb1d4fK3L/7GzG9nMumwSYT1rps7tc9gSQE3Q8Jxjz76KEuWLOGNN96gf//+LFy4kGuuuYbCwsJ6XoGmWLN1Pe9vPJFbBsX4xdi9Y8Vt438anOs4LlEjSlW8kmiikniymphRSdKoxrCqMa0oll2NbcdwnRjCjYGIYdsxvikdSqRHx+iXZJKSzcUAhHt2vIqpq6hgdY2QkB01qZJAzeAd8eeff86TTz7JiBEjGlw+bdq0dquUEEkHR+oa/5uW4MQrcAXo4Y7vRG1aDps2Jun+9xuRZRVJ8W7EZEVBUlTkusl7venbzTiiB7KqI8kKsiwj1UyyoiDLCpIseevL3u+01yEHEundHS3gRw/4UXUfspKeyp6kZBJS01fS/Kclf+Lfa/7NzYffzC8P/GXattsR7DNYUkDUCcelz2BJJBL84Q9/YM6cOXXde0eMGMGKFSt46KGHUjZYzj7yZG589S3MdlTmVxSZ7GAW2cEsoG/K73tm0Toefus7Zl7aPnketc35iouL6dVrl8ZHcXExo0aNSuu+SjdtRwWyCtsn3NUUrqKC3TWqxtyYRSyDFajRaJSJEyfy9NNPc++99+61fMWKFfz1r39l6dKl9X4jmWLt5qVs2PkVb/78CSRJqn9hrJtUFNWbPOVnDbnmtaKoKDWvVU1DUXUUTfVK8zUNVddRa8r0VZ8f3e9H0X3oPj+az4fm96P5/ej+AJo/gKppdRfhtiCSVZiuij9NF+220KNHLmWxcj5dsgpXSAgh4QpwaepzriKk53g5fbg1uX2uNyHqPbq4MH/vLUjIqLKGoqioso6iaKiKhqJqqKpeM2mous/7H9X+n3Qfms+H6vOh+n3EZZMN7nY+/uK/+PUAfp8fn+bH7wvUm2qbqG7auoEv1y5D2WET7plLMDuC3xck4AvwUfliXlnzCnePuZtzh+xd+NHV2GewpECth6WlSbdNYVkWlmUh73GyUBQF122ZimlATWDanb+X0PrSGAAHFLZPQtzAgQPp2bMnH3zwQZ2BUlVVxaeffsrVV1+d1n1Vbt1OPpDXtxNk3ysKIk3S/ZlGTjgk1cx5V6655hrOOOMMTj755L0Mlng8zkUXXcTjjz+ets7TzWGIOFmBbuQfMAArmcQyTWzTwDY9pWfXtnFtG9swcB0H13URruOVRwuBJ0yc3k7ddUiSJxsjyUiy5BlUUo1BtZthpcqCntpORvVxPK+CrBCs/B6bzpGXc8p9s2isD7ywbVzbwLXMukfx90OQhk0i8IvbU9p+2XebqNiwGTuZxDIMrKSBbXj/Q6vm0bZqHm1zl4q3aWLEYziOhe1YOG7to40jLJwaaQr9eIkN+nZ+8/X1TY5DFQq60IjLyV0zi/Ze78J+P/9RGCuwz2BJiVoPS0uTbqPRKGvXrq17vX79elasWEFeXh79+vXjJz/5CbfccguBQID+/fuzYMECnnvuOR5++OEW7UeTHQy75VLtd911F3fffXe9eUOHDmXVqlX15qUrxr+l3Ktk6h5JX0JZc9/xjTfeyL333suQIUPqypoLCwvTnqcQK95JPtCtT8cbLBFXpluFyXv3foyjSDiajKtKoMlIqoKsy8iajKIryLqC5lNQfSqaT0H3q3WTP6DiD2gIVSI7oKNnwLDQTAfDlxmDZfbs2XzxxRd8/vnnDS6fNGkSY8aMqasgaw8sy6Rbt36cfeudbd6WcF0cx8E2DSwjiZWseTSS2MkkpmFgG8mai2jNBbXWOLIsb55l4ViWp0dk2zi2hWPZuI6NY9ue0eTYnmaN43U8riqvpAqdw7NWocmOpz+DS2n2KFLNjnjggQd49dVXWbVqFYFAgDFjxvDggw8ydOiuhN2ioiJuvvlmPvroIwzD4LTTTuPRRx/dKyetJUi1nqoaFVnhuqA4GL7U8zryDuhL3gGpe5ZTxbUc7KTBpdEq4hgYRoKkmSRpJDCsJEkriWEZJK0kpp0kaRsYtoHhJBlROIr98gaTxMAQBolknNIF6xGlJqdcdHHax9pR7DNYUqC1wnFLly7lxBNPrHt90003AXDJJZfw7LPPMnv2bKZMmcLEiRMpKyujf//+3HfffS0SjgPPYDFbYbAADB8+nPfff7/uda2bcXfSFeMvrjLQlPTmCjT3Hf/+978nFotx5ZVXUlFRwbHHHsu7777bqAZLazF2lBDTAujBjq92yVdUVNMlCgRNFy3hoLmgugJNgC5AA2Sa/1/U3rttQmAAJgJTAluWsCWwFQlHlnAUCaFICFUGVULSvMaDsq7UGEcyiq6i+pR6hlHQcIlnpf/OfNOmTdxwww3Mmzevwf/1G2+8wfz581m+fHna990UlpXAF0hPCbcky6iyjKpp+EPtl0j51Yy7mffuZ/S8cyXSbpIHLUm3XbBgAddccw1HHHEEtm3zhz/8gbFjx/Ltt98SCoWIxWKMHTuWkSNHMn++F3+54447GD9+PEuWLNnLM91qkgkkSYDe8WX1sqaga0HyIkHSoQ1c/IEPbXgEpZ2bw2aSH88nySCuMAHZq6xpASeccEKTzeV69uzJjBkz2jg6UBW31QaLqqpNusPTGeMvixkE9fT+5Jr7jiVJ4p577uGee+5J6373xC4tJRbsHNoPuqaCLnHi7cc0uo4QAmyBZdgkEzbJhIWRsDGTFqbhYCVtrJrHlT9UkKXKdA/quKaDsATCdpEsF2wXxXHRbIFiusgJB3UP40gH9EaMowgSkpv+hNdly5axY8cODj10l+aE4zgsXLiQxx57jKuvvpqioiJycnLqve+8887juOOO48MPP0z7mABMK4ke6Bo9nhrDiFbjU5x6xkpLeffdd+u9fvbZZ+nevTvLli3j+OOP5+OPP2bDhg0sX76crCzvuJo5cya5ubnMnz8/5Ry/5hDxaiRAylDfno5E2ALZ/+O6xP+4Pk2GEK6V9pLmdKLJLmYru/d+//33FBYW4vf7Ofroo3nggQfo168fkP4Yf3XSJj/c/oqm7YG+rZS8aDnLjhsPkgSShJBkkGSQJe9RkkCumbfbfEmueS7LXjm6XDNJEqhelQOKCorXgA9ZqZsvqSpCSPhciZy8IKgq9o5i1B5N/78kSQJNQtd09LBOU6ZWOmT+HNslmbRIJmwSCRsjbmHGTcIvFdGvZ/qVZk866SS+/vrrevMuvfRShg0bxq233kq3bt246qqr6i0/+OCDeeSRRxg/fnzax1OL5Rj4gh1/N98WkrEofjW9eTSVlV5ZdF6e51swDANJkvD5dp0v/H4/sizz0Ucfpc1gcRNRZEDyZcZg2bJlC7feeivvvPMO8XicwYMHM2PGDA4/PPNaKFphCPOHqozvpz3ZZ7CkgCustIvGpRNNcTGdlp9ARo8ezbPPPsvQoUPZtm0bd999N8cddxwrV64kEomkPcaftF26hbuuPkJTbMk/An9MIre734vpuy6ScMF1a/rJuF6DPFfUPHreCVyv8sBbvvtzb5kkHITrINVMQrh1z6Xa58LBEQ7lwq1rwqeNPKyDv5H6KKpMKOwjtJvBapUkKAb0DMjyRyIRDjrooHrzQqEQ+fn5dfMbMsL79evHwIED0z4eANdxsFwDX6hr380b8TjpdJS6rsuNN97IMcccU/e/OeqoowiFQtx6663cf//9CCGYPHkyjuOwbdu2tO1bxGt6bvnTH1IrLy/nmGOO4cQTT+Sdd96hoKCA77//ntzczJd+u3ELp8KADCa0dwT7DJYU8DwsnfdCq8kupt1yg2V3SfsRI0YwevRo+vfvz0svvURBQUFaY/yO4+K4gh5Z6Vdw7AxURvbnq58dyk2/O7Ld9/2fPy4mEbeY8NDxXoWZaYHeeQ3sWuwSLwlbyf1xet32xKiKAuDroC7f6cJIJPHr6Stfvuaaa1i5ciUfffRR3byCggJefvllrr76av7+978jyzIXXnghhx56aPryVwASXuWiFEj//+TBBx+kb9++9cL+mTKGaxFCEP14K1Xv/QAI8i46IKP7a2/2GSwp4AorrRos6UZTBFYaqlhzcnLYf//9Wbt2LV9//XVaY/w/lMcB6JvXtd3hDWEaDkFb4OvWMcZYPGYRCnm/T1mWwd81DACnzDNY1Lz2+d6a+802lQuVDhLl3t28P9LFPSyGic+XnkvHtddey5tvvsnChQvp06dPvWVjx46lqKiIkpISVFUlJyeHnj17MmjQoLTsG0AkPYOFDOSwvPHGG5x66qmcf/75LFiwgN69e/Pb3/6WK664Iu37qqVq3g9Uz99E6OheZJ3UD+VH5tH+cfmLMoRwzbSr3KYTXRFpEY6LRqMUFRXRq1cvJk+ezFdffcWKFSvqJoBHHnmkVYnCq7d5J+tB3br2yboh1q6vQEKisE/7df3dnbjhEMpApU2mscu9jtJqtx+fEdsQRoV3DPiyO+Z3ki6ShoWvjUaxEIJrr72WOXPmMH/+/CY9D926dSMnJ4f58+ezY8eOlBvDpkTS83pJwfT/T9atW8f06dMZMmQIc+fO5eqrr+b6669n5syZad9XLclvywgclE/uWYN/dMYK7DNYUsIVnTvpVldolYfl5ptvZsGCBWzYsIFPPvmEc845B0VRuPDCC+nZsycHHXRQvQlaH+Nfu8M7Mezfo2ufrBti/YYKAPYbmNPu+3Zdl6QtCOW03EvxwAMPcMQRRxCJROjevTtnn302q1evbnBdIQTjxo1DkiRee+21No7aw6n0DJb/KyGhZGWNhyVNBstdd91VI+62axo2bFjd8qKiIs455xwKCgrIyspiwoQJFBcXt3m/puniD7TNK3bNNdfw/PPPM2vWLCKRCNu3b2f79u0kEru6zs+YMYMlS5ZQVFTE888/z/nnn8+kSZPqabW0GaMmJBRMf0jIdV0OPfRQ7r//fg455BCuvPJKrrjiCp544om076sWfUAW5sZqRCurRjs7+0JCKeC6FpLUeb8qXRVUJFpue27evJkLL7yQ0tJSCgoKOPbYY1myZAkFBQVpH+PGsjgg6J+jIoRot94t7cG2LVFsBPv1zXxZ8+O/8TQpQqqELIEjwAXCrQhHNaeFsTuZ6LfjVJsggdyFO+u2hGS1Z7T7c9L3O2lMRymTOiaGJfC1UW9o+vTpgCdLsDszZszgV7/6FQCrV69mypQplJWVMWDAAG677TYmTZrUpv3uiaj1sITSfyPVq1cvDjzwwHrzDjjgAP7973+nfV+1hI7oSWzJNowfqvDvl5Ox/XQUbboKN9QBNZlM8rvf/Y7Zs2djGAannnoq//jHP5pUJxRCcOedd/L0009TUVHBMcccU+dK6wwI1+zUSbeqLNGKIiFmz57dovXbEuM3t39Hd2zyH+mDKVRiUoAEAZJyAEMOYqohbCWErYUQWhhXDyH5spD8YRR/FmogghbMwhfKwR/KIhDKIZiVTSCYlZZeKG2hYkcCU5fQtMz3UfFrMknLZcCgbBxXIByBqkoM/Emf5t+8B81pYdSSqX47bsz60VUxNEVt0q0/J30Xx8Z0lDKpY5J0ZHxtFKpL5VwydepUpk6d2qb9NIsZRwgVSU//+f2YY47Zy2O5Zs0a+vfvn/Z91SHX3FTs87DUp7EOqJMmTeKtt97i5ZdfJjs7m2uvvZZzzz2Xjz/+uNFt/fnPf+bvf/87M2fOrJNPP/XUU/n222/TrkjaGryy5s5rsMiyjOtmNmGwrfjdGAWKxdJD7sdNRhFGNRjVSGYU2YqiWDF0p5qIuR2fE8fnJgiSICTiKFLjn80VElHJT4IACTmIIQexlCCWGsJWw7haCKGHwRdG8kVQAhHUQDZ6MAs9mEUwnEsgkk0okoMWyPL0TlqIWWEgQu3jgQv7FZKWy7HXj0RV02sg7amFAZntt+MmbGTt/5DBEo0iIaGF06eG3JiOUqZ0TBzTwHZlfKHOIZLYZowYAj+ynH6Pb60sxP3338+ECRP47LPPeOqpp3jqqafSvq9aYku2Ioc1fD9C7wq00mBprANqZWUlzzzzDLNmzeKnP/0p4Ln4DjjgAJYsWcJRR+0tQSWEYNq0adx+++11eh/PPfccPXr04LXXXuOCCy5ozRDTitvJPSyyJCEy1RAtTZTEHHoFXQ4/65oWvU+4LslkjFh1BcloJYloJWasEjNRhZ2owklU4xrVkNxl/MhWDM2OEjQ343Pi+EWcgEgQEgl8ktXk/pLoxKUASckzfkzFmyw1hKOFcLUwrhZG6J4BpAWzCEX7oua0T5faAfvnULJsJ4mSJJGe6UtgbkgLAzLbb0cYLnKk8+aGpRsjHkNT/Gkry21KRylTOiZGxU4AfJEficFixhBSZm6KjzjiCObMmcOUKVO45557GDhwINOmTWPixIkZ2Z9wBcnvygiO6o70I/VctspgaawD6rJly7Asq571PmzYMPr168fixYsbNFjWr1/P9u3b670nOzub0aNHs3jx4gYNFsMwMAyj7nVVVWbV/ITbucuaBQqG3blzQoqTKiNyWp4ZLMky/mAEfzACPXY1HFu4cCF/mfYCy5YtY9u2bXs1ZXz11Vd54oknWLZsNWVlZSxfvpyRI0eSNAyiVRUkopXEoxWYsQqMWBVWjQHkJqsRNZ4fxYqh2jE0O4YvWYoe24TfjRMQcc/7U9Np51NnDpR6xlUmw1NmzGL1V6UA+IPp9eg0pIWR6X47wnZRgp33uEo3RiyOrqQvwbgpHaXLL788IzomxpZvAfCZZW0ef6fAiiOkzPX/+tnPfsbPfvazjG1/d+zSBE6ViX//zAvTdRQtPus11QF1+/bt6Lq+l3ZHjx492L59e4Pbq52/Z45LU+954IEH9uoynElc0bk9LHlBl6jZeccHUGwH6BFOQ+11DbFYjJEjR3LZZZdx7rl7t06PxWIce+yxTJgwoU73QJIk/H4/fn9P6N728IZwHRKxKnLveBe/bmc8l8aKWVRbXmzajNloWem5+DWmhTF//vyM9dtxXU/JV87q3L/bdGImYmha5kLcu+soQWZ0TIzKHQD48grTMuYOx4wj5I5PO0gHUm3yeue+d20TLTrD1nZAfeGFFzo0t2TKlClUVlbWTZs2bcro/txOrsMS0CRst/O6AG3LpsQN0yM7fXob48aN49577+Wcc85pcPnFF1/MH//4x7T1HGkISVYwthRTnuzBwUdlN7nu1KlTkSSJG2+8sW7e9u3bufjii+nZsyehUIhDDz20yQqCUPcg5159MADvPfZlm8ffnBZGurV4dsetqClpzoAsf2fFSMbxZbAr8O46SruTTh2TpOmFnv0DMt8Lp12w4wi54zuspwMlSwcJT5L/R0qLPCzNdUCdO3cupmlSUVFR766suLi40YS92vnFxcX1DrTi4mJGjRrV4Ht8Pl+9ZLJM47ommpbTbvtrKbqqYLvtk0PRGkp2FiOQ6ZH3I4l778bqdz/FJ+cx8LTGDaPGEtR/+ctfUlFRwRtvvEG3bt2YNWsWEyZMYOnSpRxyyCENbit3oPcdxg27zWO/5pprmDVrFq+//nqdFgZ4IdlAIEDPnj0z1m9nx+OewaUV/DguFqlgJOP4fOkzWG6++WbGjx9P//792bp1K3feeWedjhLsyh8sKChg8eLF3HDDDW3WMTGqvFCQLy+9Cdgdhh0H5cfxGxQ1DXDdZNvPDZ2VFt2W13ZA3f2O6/DDD2fixIl1zzVN44MPPqh7z+rVq9m4cSNHH310g9scOHAgPXv2rPeeqqoqPv3000bf096ITi7N71N92K6ccWnx1lJcvBWA7t3Sr+/SkQjHZs3aAPv1KUFtpAPv7gnqezY9++STT7juuus48sgjGTRoELfffjs5OTksW7as0X2qNVU1FVGbWHGsTeOfPn06lZWVnHDCCfTq1atuevHFF9u03VRwkzaSLhM8/Edy4UsBw4yjB9KXKF2rozR06FAmTJhAfn5+PR2l1atXc/bZZ3PAAQdwzz33cNttt/HQQw+1aZ9GdQUg0HMal6noSkhOAqF0faXl5PflFD/yBSjyj7ZCCFroYUmlA+rll1/OTTfdRF5eHllZWVx33XUcffTR9RJuhw0bxgMPPMA555xT5ya/9957GTJkSF1Zc2FhYb0kyo5EuHanDgnpqoTtqp1WjK24pASAHj3Tp+HRGdi+6EOq7W7sf0LjugqNJagDjBkzhhdffJEzzjiDnJwcXnrpJZLJ5F5iWrujBjSOP7EPC/+7mcUzvuXkyUe0evytMXDTZhQ7An1QNvKPtJoBoOz7jbz/6OMAKIpCafVmeg8a1sy7Uqc5HaVM6JgY0Sp8ioOkdY5QXvydd4iv2AmSAkLGrMpGCA1JMgEHSfImpN2fu0iyQJJdSJyGHtlJ5/g0rSOxuozSGd/gG5RNwRUHo+b/ODxGDZF28YhHHnkEWZY577zz6gnH7c7q1avrNB8Afv/73xOLxbjyyiupqKjg2GOP5d133+0UGiwAQjidWulWkV1s0XkVZIvLKtEIkNftR5KoV8PqRd8T1npQOPqEBpc3laAO8NJLL/Hzn/+c/Px8VFUlGAwyZ84cBg8e3OR+h501iLVfl7B6QzV931zP0J9ltgNsOnBtl+8e+Izs2K6y8uT3FXzz0DIkXQJNQdYVZJ83KQEFxa+iBFTUgIYWUlGDGlpYRQvrqO0g0tdWNnyylE3F39C721Bsy6BHzkD2O7ZzeI1bixGrxqd2Hk9u/IudmNE89NBOwMUXrAZJQusTBgeEIxAO4NY8d2VwZIQLwpUwYiNxMOnKwWprawxJk+n264ORMqAn05lo81V4z0oBv9/P448/zuOPP97oe/a8S5MkiXvuuYd77rmnrcPJCELYndpgUWWv+sZ2BZqSnh+sEALHFTjCxXZtbNfFchxs1yFp2Qih0C83ByWFA2RHZZzusoWsdV4vVUtxqkpYu7U3w4cnd2Xn70Ztgvq8efMaNbzvuOMOKioqeP/99+nWrRuvvfYaEyZMYNGiRRx88MGN7lvzqxz/i2HMnraCFf/d1CUMlvjORD1jxZQlbAnU0gSyECgCZATqHga3AKyaaXccIXAAV5JwpZpHWUIoEigyQpU8LQpNRqoxhiRdQfbLKD4Vxa+w5qvvWGusxe/zoauaN+k6o08+hp5DWq4cvCfJ6moUSeOCx//a5m11FsykQdRQeOaSU5ElCUWB4WOO5bDLb8/I/kQyibOjGFQdSdVA83nPFRkUCeHK+LJLyZ98aau2v/m2jyCU1/yKnRi9XwRhuVjbYui9098TqTPRea/CnYhwSSnhtXMoX7m0/oIau6uxS3ajAq3CJZHYiG1XEw7vX2PAuSAEQrjehl0byXVBOFDzaMSqeS/o58P8vDpjwhUuO+MygX55jJn5FAIXQ9kAgGr3qhGUcxE1EwjvUarZD27dOnXzJO+11ITCLMCTx7/FmIH9mvv62B616K6lr6QZvNyQ2vJN8PR8VqxYQV5eHv369aOsrIyNGzeydauXP1Mrkd1YImlLWf/OXAzRi6HjGk6ObS5BffXq1Tz22GOsXLmS4cOHAzBy5EgWLVrE448/3miDtER5kvcf/oKNO5P4ZDjouK7htUrsiAOgnLUfvY5ufMyu42InbeyojRW3sGIWdtzGTlg4cRvHcHCTDq7h4JoOwnAQlouwHE+O3BZIjotsCiRXIAuBLPCMIkDZzSDapm6kXKmmt+QnbiaoTFSxw65g+QvfoQkFTVJRJQVdVlFlFV3R0BQNTVXRVQ1N09E1HV3X0X0aus+H7vPhC/rQ/T5KSkqxVImd27YSjmThCwbTJhrXUYw851J8wdk4to1r23z//VY2fruSwzK0v7K//4tEWVMex/4EC4pavwNXIOmd31u3O7HPtxP/aieyT8E3OIfgiAIkv0L8yx37DJZ9wMB15fgqdmJpm7xrfCMWimjC2VB36a9ZRxVeRrdUuny3BVLNcgkkCSHJINc8SjK5ZWWM0TTm5mSjSDKarCJLMr3DKq4bRlVyUCSFbXYxNgn6h0aiSAqyJCFLCookI0sKsiSjyHLdvLpJVuqWy5KMIik168l17y2NVzO/5B/YsUGMSLGvTHEcevjTm7m+dOlSTjzxxLrXN910EwCXXHIJzz77LG+88QaXXrrrrqtWgPDOO+/krrvuatO+hevy5acWPbOKydvvpw2uU5ugvjuXXnopw4YN49ZbbyUe9y7ge17AFEXxNEoaYfuKnWzcmWTUwXkc+asD0UJdQ8fErDYBcF4vYvUbRex399Go+t6nH1mR0UM6eoY+l2M6mDELO2pRPGM5EV8PLvn9r+uWF322iu0/bME0TUzDxLQsLMvEtEwsx8ayLeJmAsu1MV0LWzhY2NjCafj4HzyCx5+skWIXAkm4SEJ43iRZ5ucXTmTgsPTltWSa/JEncMzIE+pe7/zNqahp8uo2hBPXUfUycn7iR9gW2DY4DsKxwHHAcdAPb30eFwIkX9cxWOyyJOX//h59QBauI6h4vYjKd39AmC72jkTzG+ji7DNYUiAo5cAR56Gc9kCHjuOLmWPJ3/o1L5z7UfMrZ4hNFaXMf/0fnDPkTML+1EI8Owyd0d3Sqw1wwgknNJkA+qtf/aqu62u6Kf54Advj/TjjnMYNi+YS1C3LYvDgwVx11VU89NBD5Ofn89prrzFv3jzefPPNRrcbrCkD7juioMsYKwA9Du/B4kVb8JUk6KlKHZZrpegKAV2BXD+mk6BbqL63bb8jh7HfkS03IFzXxTYsjFgCI2ZgxJPEq6rZWbYFwzFIJhMYySRGMulJP5SXU2q5bN24oUsZLHtiOxJaCxKnq2e/ibEpgSTj3ZfJeLWqsoQk1TzKktfET5GwjRyChaX4T8pAa4ia/mtyFzJYhOV5qsNH9SI4qjt2eZLY0mKcsiSRE/s28+6uzz6DJRXMKOgd72oTio4m0htaaSl9c/IJOcN4Y9NTfP3CGsJ6iLAWJqKHyPZHyPaHyfNHyA9kkR/KoiCUxTbbT/dI50nUaytffbCebD1M/5P/p9Xb0DSNt99+m8mTJzN+/Hii0SiDBw9m5syZnH766Y2+L9zDK4uNlXatuynVr3LclCP57tHlGJujKB2cNOu6LhZJsrObFvxLFVmW0QM+9ICPSLdd84dwUIPrL/94Ea/P+4D87l27PNhyQW2BwRL9ygThoupVICSEkAAZhFzzXEIIuW6ehIXeLzNlx7V6JbK/61wGtR4h/AfmU/7qWtT8AHrfCNmnZLD7cyej6/ynOhLHAqXjE0aFoqE2ES5oL2ad9Q8ue+tmthjLcIwErmSA3IQHZRiYwUvab4AZxKquZn1xLw4/uKTBZNum2DNBfciQIU0q2zZEIM+HBMTLu6aapYhaWGrHVzKUFFeAJMjLz+mQ/ZfXlPp3S3MH7PbGdkDTUr+MCKETHmKQddkVGRzVbvszTRACVG2v49WtSQKXAl3rMph3wVBK/t/XlM1eRY/fHf6jrwzana71n+oohANyJ3Abqj400fEGy6D8Aj785cx681zhUpGMsjNWxc5oBSXxakoTVazbsYI3djzPqH4/Dm2ADe8vwBZBhpzShrh5G5AVGZ8iEavsmgYLSRs6QZJj8RbPYCjomd8h+6+sqAAhyCvo3iH7TxeWA6qe+s2cEHq7Jbm6VZVsu38xglqxPgdwkKjRYkEAYbTFN2N+vgUkHSHrIGsg1zxXaicfqD7vueoDzYe2/TXc/NG43Q4BLQC+AJIeAF8QyR9ECmWj9B+S9h5jsq4QGFFA5ZvrcCoM1LzOIf/RHuwzWFLBtT1hoo5G0VE7qZqtLMnkBbLIC2QxtNuuktClK4p5Ywckq1U2FK0iHMkmHMnG5w90Ss2Y5vh+2U56BBWyhjScbNse+DWZRPWehb5dA8V0sTvBCbak2JOY79m7WzNrZoaq6ipk10FWOsF5pQ3YDmi+1P6fwnUR6EiNhAO3bNnCrbfeyjvvvEM8Hmfw4MHMmDGDww/3+hYJIbjzzjt5+umnqaio4JhjjmH69OkMGTKkwe25ZSUIQoT7rUcrCHrS9baNsB2E4yJsF7c6ihLMR7ghJNdEcgzPo+4mkO1KsExwTSRheY9YILxHmThKdC388EKTn9shByH5QPIjZB/Ifq/houJHqAFQ/J7Bo/pBC3rPNT/oIe/RF/IMIS2AUdWN6s9M3JiF1jfyf6oXF+wzWFLDdTuFh0VqpcFy11137dXdeujQoaxataru9eLFi7ntttv49NNPURSFUaNGMXfuXAKBlnlGXNdlbdl2snwBugWz+G/NnezV8/PA3VV+qOAQJkGYBCFNEFIcwooLsszh3eGGK37d2C46DKOsjB9KChlzeEmHjsPvU0jEu2a/EN0VuJHUkoUfeOABXn31VVatWkUgEGDMmDE8+OCDdb1wysrKuPPOO3nvvffYuHEjBQUFnH322fzpT39qNjelrLQchExuQcdIhsVicbSuZ6/vRWFgJFmluVTNmIWkKUiqXPOogqYgaWrNpNc0glGQGvDIlJeXc8wxx3DiiSfyzjvvUFBQwPfff1+vncWf//xn/v73vzNz5sw6RfRTTz2Vb7/9tkGtI5Hw8rwChw3GN3pMRj6/cFyEkUAk4ohkHJJxhBGHZAx39WKEa4OZ9HoWWQmwk2AnkJwkOEkkcwe4BpJIIrkGEjXPMWvUeusjiQGYg/+FPjCb8JjC/1PhINhnsKSGcEBO7atq7i6hMa/Cn//8Z2655ZamN6623sMyfPhw3n///V2bUnd9nsWLF3PaaacxZcoUHn30UVRV5csvv2yVZsQf58/k9S0P170WQgGh8cb5fYnF40RjCaLxBNFEgtiq/xLL2o9qrRsxyyVmwdsVvVlUDWd89xWhcIRgOItQKIKqd3xFzLp5C3EJs98pmTn5pYo/oBKt2vtk1tmxYiaaBFZuaneFCxYs4JprruGII47Atm3+8Ic/MHbsWL799ltCoRBbt25l69atPPTQQxx44IH88MMP/OY3v2Hr1q288sorTW47Ho+D5PKnu+9DRkVGRZG9SVM0VFVj+IHDOfFnRzW5HWj+mL/rrruYPXs2mzZtQtd1DjvsMA4cNIABfdsuTteRuLbDEQU/Awuia6IIoSLQgKZv7uSsvfspPfjgg/Tt27deF/DdG2wKIZg2bRq33347Z53lVQw999xz9OjRg9dee61OtmB3ag0WKYOK6ZIiIwVDEGygR9Shx7d6u0IIhOUgknFEIoZIRFGfPRz1sJ+Sf+aBbRhx12afwZIKKYaEUrlL2LZtW733vPPOO1x++eWcd955zW5fknU0wHEslBYmAauq2qhg2qRJk7j++uuZPHly3bzWdnT9vrwIycni54OuocqIUW1G2S+3HyMOaejEf/Fec6Y/O5MHV3Xj5Jmb6s33YRKWDIKyRUi2CCkOIdUlpArGDuvGOWe3vmInVdauqKAwUkG4f+OdmdsDPaBilSU7dAwtwagyWPPwF8iOSzbg65aa1+7dd9+t9/rZZ5+le/fuLFu2jOOPP56DDjqoXtLyfvvtx3333ccvfvELbNuuZ5TvydjxJ/DZomySSWM3zRUTyzaxbYuy6HaWrzCaNVhSOeb3339/HnvsMQYNGkQikeCRRx7hqeee5+Zrfsvrz8/E5/ej+3z4/QH8gSD+QAB/KEgwGCIQDhPJye2UgnN23PsNJg5xGfLzcXXzheUgjCSYSYRhIizvEdMASULdf+8L7htvvMGpp57K+eefz4IFC+jduze//e1vueIKLzl3/fr1bN++nZNP3nXsZWdnM3r0aBYvXtywwWJ4Rr3UQi/xnjTnoT7hhBNYsGBBveVXXXVVo+KPqSBJEugqkp4FWTVeQElGKl/b9Bt/5OwzWFLBTS3ptrm7BGAvo+H111/nxBNPZNCgQc1uX1K9O1PLiqMoLSvH/P777yksLMTv93P00UfzwAMP0K9fP3bs2MGnn37KxIkTGTNmDEVFRQwbNoz77ruPY489tkX7AChLluCXCrjthIta/F6AK38xkZ989yWxWIxYIkksESeWMIklTeKGRdR0iJsOUVMQt+Gdir6UfbmFc85u1e5SJlmyg83lhRx7VHlmd5QCWs42sno+z7K3n0OWfMiSD0X2Ics+ZNmPLPtQFD+y4kdWdRQlgKL6kdUAiuZH0b3Xii+ArPprlvmRFQ1JVdLuZi79upTcpE21T6EypDHokNYlmtb2H8vLa1xKvbKykqysrCaNFYAevfMZf0HjhufD905HSaFcN5Vj/qKL6h8LDz/8MM888wwbd+xEXbu+2X30Cge56ubfN7tee2PGPINF2UOPSdIUJC0EpN6Zet26dUyfPp2bbrqJP/zhD3z++edcf/316LrOJZdcwvbt2wHo0aN+GXiPHj3qlu2JMJKA3maDBZr2UANcccUV9VrLBBvp3t4mhv0MjKr0b7cLsc9gSYUUq4Sau0vYk+LiYt566y1mzpzZ4PI9kVXPtWlbCfCnbrCMHj2aZ599lqFDh7Jt2zbuvvtujjvuOFauXMm6desA7y7ioYceYtSoUTz33HOcdNJJrFy5stGEtsaotksJq62vvFBUlQMPTl3o+xd/ehLblSha/TUFBT2I5HRLe1Y+wIZ5C3DJZ9ApLTfi0o3S62uCweVYyQNwJROBgetaCMn0XssmrmyB3ELNHiEhuRqyoyMJDUnoyEJHRkdCR8GPLAVRpACKHECRgyhKCFkJoKohFC2EqtU8+sKoegjVHya+rQyf5ND/+sMJtrKTrOu63HjjjRxzzDF7CfLVUlJSwp/+9CeuvPLKVu1jdww7QX64oNn1WnrMm6bJU089RXZ2Ng8/8gh5ubkkYjHi8RiJaJREPEYyHsdIJEgmE8z/dCmW3TkTrM3qmnYLgbaHa13X5fDDD+f+++8H4JBDDmHlypU88cQTXHJJ6yQRRNICdCR/2w2WpjzU4Bko6Wj50ShCQMka6NMx1YmdhX0GS3PU6p6kEBJq7i5hT2bOnEkkEuHcc89NaSiS4p0YbDue+viBceN2uWtHjBjB6NGj6d+/Py+99BIHHHAA4Lkwa6XsDznkED744AP++c9/8sADLVP3TboV9PY17y1KF5oMH8V6c9KMjcBGdEwK5Bj5apI83SHfL+gWVDly/96cdPK4ZrfXGEVfVdAzYhDq3XHVQbU4SiWO0Y2jfvZ6k+u5to1jxrGNBK6VwDETOGYSx07iWAlcK4nrJHBcA9c1cUUS1zZwnCSuY9RNjmt4y0QSx41jSaW4rqe/4zgJXNlA2AYYjeRX5YF2VB965/631Z/5mmuuYeXKlXz0UcMqz1VVVZxxxhkceOCBbW69AGC5ScKh5sUiUz3m33zzTS644ALi8Ti9evVi3rx5dOvmVSiFsrIIZTWc/LvgkyUEA52zl7BRWQ2AHmm7N6FXr14ceGD9UNEBBxxQF/KrNQaKi4vptVtLkOLiYkaNGtXgNr2QUAgpkLqnpzEa81DX8sILL/D888/Ts2dPxo8fzx133JE+L8uOVfDWTbBzFZwwJT3b7KLsM1iaw62pxkgh6baldwn//Oc/mThxYqPdfPdkl4elZQbLnuTk5LD//vuzdu1afvpT7wLc0Mli48aNLdquEAJbqqR7oPk704ZorioEYPv27dxyyy3MmzeP6upq9t9/f35/+a84/LBR7CyvYGdlgp1VBmVxh9KEYENU4d8lvXhyo8vJnz5BRIeILhH2KUR8CmG/RlZAI+D34/cFGD78YPK71++RZO7cwqbyvhx1VNu+93RhO+VA8xcxWVWR1Sy0YOYveK7j4hgx7EQUO1mNbUSxrSiOEeO7rfdjaLFW52Fce+21vPnmmyxcuJA+ffZOVK2urua0004jEokwZ84ctDZ2BbcsG1cyiTRiROxOqsf8iSeeyIoVKygpKeHpp59mwoQJfPrpp3Tv3nR4zJEkwuGOV9luCKekJiSUYkFCUxxzzDF1DUprWbNmDf37eyquAwcOpGfPnnzwwQd1BkpVVRWffvopV199dYPbdM0aYbg2elia8lBHIhEuuugi+vfvT2FhIV999RW33norq1ev5tVXX23TfonugA+nwrJnIW8g/PJ1GHRC27bZxdlnsDRHrRR+CiGh5u4SdmfRokWsXr2aF198MeWh1OawOHbbEi6j0ShFRUVcfPHFDBgwgMLCwgZPFrt7ZlJhR3U1kpKgd6R1cuPNVYUA/PKXv6SiooI33niDbt26MWvWLK674SaWLl3KGaf/pMHtbt+ygT//610qDNgSl6muUql2NKLCR7Xw49RUNZyYgENe/Jps9WN8qolPs/DpLo4tcBjAoJNHtepzpRvXrUCWc5tfsR2RFRk5GEELRoD6Bt/KDS/jUtzibQohuO6665gzZw4ffvjhXrkh4F20Tj31VHw+H2+88UbKxn9TlGwrBwly85oPu6Z6zIdCIQYPHszgwYM56qijGDJkCM888wxTpjR+xxwtKwNZYeunnzBr/ntoqkpMOJQaCYYWFBIIBFB0P5rPhxYIoPoDaMEAaiC463UggBYIogb8SFXV+Pv0RS8oQA4E2hw6dcotFEBNgwr4pEmTGDNmDPfffz8TJkzgs88+46mnnuKpp7zGkZIkceONN3LvvfcyZMiQurLmwsJCzj777Aa3KUzHKxNW2yZJ0ZSH+vLLL68Xgjz44IPp1asXJ510EkVFRey3336t22nZenj6RC8UdPKdMPo3nmDd/3H2GSzN4dYYLFLzB3dzdwm788wzz3DYYYcxcuTIlIei7J7D0gJuvvlmxo8fT//+/dm6dSt33nkniqJw4YUXIkkSt9xyC3feeScjR45k1KhRzJw5k1WrVjVbGronq0q2ANA/J7UuznvSXFUIwCeffML06dM58sgjAbj99tt55JFHWLZsGYccckiD2+3ZewAP3/ybBpcJIUgkkyRiUabf/SVOyGZovxhmwsFICgxDxrQVDhywlaw+HR8OAnDlCjS5lSfCDsARJchSywXarrnmGmbNmsXrr79OJBKpS67Mzs4mEAhQVVXF2LFjicfjPP/881RVVVFV5SUlFhQUoLRSlG3ndk9Urlv35o3Clhzzu+O6LobRtFpxdIt3PGU7LpIskbBMSh2v8mV98RYkAY4kcCQJ0RIRRiGQhUBxBQqgIKFINZPsdW1XFAVVUVFVFUXVUDUdVdfRfD4U3Yfm9+PGQvTnCMzviqgs3Ykc8KOE/EjBAGr3HLT8SMpDOuKII5gzZw5TpkzhnnvuYeDAgUybNo2JEyfWrfP73/+eWCzGlVdeSUVFBcceeyzvvvtuo0aqMO0GtUzayu4e6oYYPXo0AGvXrm29wbJsBiTK4ebvIdy11ZDTyT6DpTlqpfBTMFiau0uopaqqipdffpm//vWvLRqKVtNd1I2Xtuh9mzdv5sILL6S0tJSCggKOPfZYlixZQkGBF7q58cYbSSaTTJo0ibKyMkaOHMm8efNafLB9X+qdYAfnF7bofY3RUFXImDFjePHFFznjjDPIycnhpZdeIplMcsIJJ7RqH5IkEQwE8Pt8BG2J4EE9OOqq09Ix/IwhyVVoSufysDSJUoYm79/it02fPh1gr//tjBkz+NWvfsUXX3zBp59+CsDgwYPrrbN+/XoGDBjQquGW7qwAYOvmYhzbJRgOUNArj3DW3jkJzR3zsViM++67jzPPPJNevXpRUlLC448/zpYtWzj//PObHEdVjYF2ym+uo88RTSdbOraFVVWNWV2FVVWNFY9hJRLYyYT3GI8R/fprpNwcXE3HNhJYSQPbTGIbJrZlYlsWtmXiODa27ZCwTJxkAke42ELgCBcHcCUvVFUQ6Ef/Xkdgf+Oj+hsDMADvmBWuQ68/HIaak7rR8rOf/Yyf/exnjS6XJIl77rmnXjVOUwjLRZLSn7C8u4e6IVasWAFQL9emxQwZCx//DRb+BU6b2imESzsD+wyWVEnhDiaVuwSA2bNnI4TgwgsvbNEQAtEdAKilLavFnz17drPrTJ48uZ4OS2vYVOm5/Yd2692m7UDjVSEvvfQSP//5z8nPz0dVVYLBIHPmzNnrgtVSiksT+IREXkFmOsOmE1mvQlfaJinfnNjZ7vzmN7/hySef5JFHHuHGG29s0X6EEMhaOT6l5WFC0YxI4gknnNDsOq1BrinrXvj5e3XzFOHnjrv3Pj6aO+YVRWHVqlXMnDmTkpIS8vPzOeKII1i0aBHDhw9vchzVNQ0Ss3o3fzwpqoaSl4e/iZLvdOK6LnY8jlNSDXETN57AjSVxE0mqF6xFkvsjzI6tbhKWiyS3XRG6KQ91UVERs2bN4vTTTyc/P5+vvvqKSZMmcfzxxzNixIjW73TAsXDGw16y7WdPwZUfQmHDHuT/S+wzWJqlZSfE5u4SAK688spWlV5a3YcBEI90zg6vW6PF4Ork+tue5NlYVcgdd9xBRUUF77//Pt26deO1115jwoQJLFq0iIMPPrjV+9vwgxdK6Nm7cyY41pKMR5FVA5+v9aXjqYid1TJnzhyWLFlCYWHrvGaJWCWyliTg75y/2Yb4ybgjOfCQIUQrYyRiSd55911iRmWj6zd1zPv9/lYnX1aXe5o/rz3+OLqiomsquqah+3wMHDGCISed1KrtpgNZltHDYWggIdjcWI6xDpRI26tz2oKwRVoMlqY81Mlkkvfff59p06YRi8Xo27cv5513HrfffnvbP8ARl0O4B7w4EV6YANcvB1/nPj9lmn0GS3PU3cF1fM8G2ecZAjYd37G5IRauK0KNRNrc1LCxqpCioiIee+wxVq5cWXd3OnLkSBYtWsTjjz/eJmXJDWs99/u3Ly5l/eufoekyml/BF1DxhTT8IZ1A2E8gK0AgK0A4N0w4N0wgHEBW2k+FtLrC82L5g633sKQidgaeF+a6665j7ty5nHHGGa3aV0XJZgBCkfSECduLgp65FPT0DLj/vh/CsVuoaZMGBh12OOtfm0PCdam0bGwDLEkiqWmsfe+9lAyWplRaN2zY0OD/HTxPZnMhq8ZwkybCsZADHZskKmyQWqpF1ABNeaj79u27l8ptWjngZ3DlAnj2DHjtavj5/2ZuX12AfQZLs9QYLJ2gs7CqeuV5rt10sl5HIalVuFbrvSvNVYXE415Z8Z7lsYqi4LptM+LWl2/lB03lMCdOvErGdRSEKxBIgFITC7eA6r3GLGGBZCHLDrLsIqsgyy6qLqP6FFRNRtVldJ+C5lPR/Cp6QMMX0PEFdXxBH76QH3/YTyDsxx8J4PPrDSrORqu8sGAo0vpEvFTEzlzX5eKLL+aWW25pNnTRFNUVWwHIyu1aBsvuJJIxAv729xb0G30kl44+cq/5/2/y5BaViDem0tq3b9+9WoU89dRT/OUvf2lxheDuCMMBt+PF7oQNZrIvxX+cDZIAJIKDIXLx3jL+nZpQAQw8Hn74pKNH0uHsM1iaoxN5WFTNy4Z3nM5psERCcfLa4Ppvripk2LBhDB48mKuuuoqHHnqI/Px8XnvtNebNm8ebb77ZprFvicdZEhA8+ee984psyyReGSNWESVWGSNemSBelSAZTZKM2RhxGzPpYCUdbNPBtgSuI5OIWriVDkLIIBQv30ICSZLxEhSb+T8KGyQbSbKRJAdZcQn2WEPhmLYZLKmInT344IOoqsr111/f6v0AxKLeBTEnv+15TR2FYSfID7UtZyidxISgVwvKtxtTaVUUZa/5c+bMYcKECW3SfuksBktozADkpevqXseKB5FYt5HU04A7mK3L4Y3rYftX3utjbujY8XQC9hksqdIJPCy1Zc2d1cNiigpy9NY1TYTmq0I0TePtt99m8uTJjB8/nmg0yuDBg5k5cyann356W4ZOcdQit5FEfFXTyeqmk9Wt7ZU5ruNgJpMkowmS1QkSsQRGzCAZMzATJkbcxExamEkbK2ljmw6W4WCbAtsSKPpOACLZrc9haU7sbNmyZfztb3/jiy++aHN4LxHfjisC+DqpWmtzuI6LTZLs7Jb17sokCVkmHErd49OcSmsty5YtY8WKFTz++ONtGp+wXIRoe+5IW/Ef9xP8x+3SZnIf/CeumbnOzWklUQHP/gzyBsH5M6H/mH3lzewzWJqnE3lYFKXGYOmEHhYhBI5cRbdA6+9EU6n4GDJkSINCfG2lNCno5s/8/1hWFPyhEP5QCFqhr7forQ9JmAq6v/V3wM2JnS1atIgdO3bUu6g5jsPvfvc7pk2bxoYNG1Lel2nuwKULlWDvQdmOaoTskNstp6OHAoBjmiR1PSUVXmhepXV3nnnmGQ444ADGjBnTpjEK2wXaP+enWVw3JXmKTkHVFjCjMO5Bz1jZB7DPYEmBzpPDUuthEU7Hu1v3ZHt1FZKSpFcXvQsodzQODHf8/7g5TLMUt42Kl82JnV188cWcfHL9TsannnoqF198cV2/qVSxnR1A671B6aaibBOrv34eRfahahE0LYymR9B9EXRfFr5ABF8gC38gC1X1s36t154inN32BnrpoHLzZpAksrqldmPQnEprLYlEglmzZnHHHXe0eYzCEcj+7my88TXABVwkXJAE/v1DFFzddBVlxnAlJLlzFizsRe3Nm9L2xpI/JvYZLM3RAuG4TKNotQZL+tUb28r3pV5yZd+srlO+Wott21RJfgobiwk1QSr9j6666iref/99tm7dSjgcrltn2LBhLR+rUwFS27RimhM7y8/PJz+/vpGhaRo9e/as97lSwZVKQOo8HsFvlj5HQpmBa/tQtKZbXAhX4YcNI4HhZOV2jlBC5Wav6iq7R+vaXzSm0vrKK68Qj8f55S9/2eYx5pxxEFUfrkL2CYQjwBEIAcKIkPw+mvJ2XNfFtR1kVWl1H6rdEa4Mevp1ezKCGfMe09D24MfEPoOlOTpRSEhVOq+HZX25Z7AM7ILVIJu27sCVFPp2a3meRSr9jw477DAmTpxIv379KCsr46677mLs2LGsX7++xfLxjqhCa2PaYKoCh+lA9m9AuJ3nLtEwt+O4/Tlp3HtYSZtkohozUY2RrMIwq7GMaiyzGsv2mjcGA15lxsBBfTt45B6VtYnofVs3nsZUWp955hnOPPPMOvXrthA+bgTh4/YWTdv0u9pqndR47qGn2RD3kraHZg3gwpt+1aZxCVfuOoKxRR+AHoHuBza/7v8h9hkszdKJQkI1HhY6oYdlY6V3YhnSBatBijZ5pcIDerVcJTSV/ke7iwQOGDCAe++9l5EjR7Jhw4aW9xqR4yhK243CVAQOd6cleSv1SB6NYHvr3psBbGcHEgWomoKqKQQiPqDx8ErxG0k0rRxd71gRtFqqysqQhEhJ/RaaVmmtZe3atSxcuJC33347U8P2cCUkNXWDpSoZpY+vO6Zj8kPlFl6a9hyyLCNJMoOGDuKQsUe1aPfClZG6gsHi2PDVS54Gyz4PSz32GSzN0YlCQrKseqlsndBg2VDpxfqLo6X0yuo8FRWpsHG7pyg6uF8ben/U0FD/o92JxWLMmDGDgQMH0reFd8lCCCQtia53npyQ5nBFCbLUuvBFJhDyTjTpoOZXrCFaHcPv7zwJpNWVlfhME0VN7dTdXB8xgH/+85/06dOHsWPHZmrYHkKCFhgMAkFBdh69+vRm+dcrKI1WIHCptuP8sGQzhf36kNunG3o4tXCdcFUkpZPlsJSth02fQbLSM04CubDqLShfDxNmdvToOh37DJbm6EQhIQBbkhBux5cM7sn+eUP4rBIivs7fi2dPNpVWoQjoWZDTpu001v8I4B//+Eddt9mhQ4cyb948dL1loRIzEUf12/j8XSexWY18g2K0TiW3OYq+fY+dxZ+hKH4UNYiqBFDVAIoWRNMCaL4Qmh5G90Xw+UJogQiSVooup25ARaMGwWDnOPYBorEYwRaIJKbSR+z++++vK3HPJAIZuaXKs5LEkWcex5FnHlc3a/7/e5OFm5cyffb/o6+/B5dPvjqlTVW6MpZZTHzFB/QcfhyK1oGhylgpvDsZvn7Je634PO0a4UKkF4y9F3qN7LjxdVL2GSzNUhsS6thR1OLQOXNYtsd2IITCgNy2x8Dbm22VSbLF3gq6LaWx/kcAEydO5JRTTmHbtm089NBDTJgwgY8//hh/CwTAKks3IauCUKhr5AnVqg8LfXlGtl+04Y/IvhJcI4CkmMhK84a8okPQ16fZ9WqJx12iUT9LlszC5wvi94cIBLIIBCIEAtkEAjmoarDNejWpEjNNgmlIQO0YZFBS/548nem91//Jxaex33fDeO2t19mULOZv9zyEjIwkQa+cnpx60RkomoqqaciagqJ6bp031fVURZPw2iJO//4rjjx/Uto+Wcq4Lqx4Ad6/0zNOxv8Nhp8L/ixwLE9/JdStU6QgdEb2GSzNURsS6iQWiyNJLNg0n3tfOqJmRFLdb1vyXnnPJQkJibM3jaen1RchywgErixwJYGQBMgSiuId0IqioSoqsq6g+DXUgIYa0PEFA/hCAQKhEMFwmGAojNqAbHxxbCeyk4XSZbLadrEjapOrZab/US3Z2dlkZ2czZMgQjjrqKHJzc5kzZ06LOnZXl28AIJTVORJAmyNW5XUbzg5MyMj2Fb8nonfyKV9iWy6WYWIacSwzjmXE+efMZ3l+9sts2boNBAwaWMjlvzydq649t24bixcv5rbbbuPTTz9FURRGjRrF3LlzCQS8Mma/X6KyUubdd9c0Og5JclAUB0VxURSXwsIAv/jF3Y2u3xZirktBoONLrIsWLGDjN99QsbOEzYk4MhKKBIokoUgSqiShyDKqrKAqMoqiIHw5aGisfuEdVFVB0zRUTUVRNTRNRdU9I0PzaaiaRrWbaPC6rfhU+o8azNmcxVdLvvCqiVzBlyWrKSmt4utH9/hfCVCQcSSXI/sOYdmmVQi3A6qFtq/0ui9v+hQOnuB5USK7efsUDcJd74avPdlnsDRHbUioE+SwACgyDPHpbAx1QyAQ7C64tuu1qHk1ZsdoyoNVREM2spCQHAlJSMhCAleAKzybzBVIwkJzBEFHJegqKAggDsRxKKUar5OOi0tCMUgqJoZqYWk2E5w+nOZexNxHPgNdRvKrKAEFLaChhTT8IQ1/RCcc8RHK8hHO8qFrncO4KTElegVaZ7A01/+osfcIITCMlpX7Rqu8PKHsvOb30RmoKPVKcHNyD8nYPnyciqzI6IqM7lcJsSskOeqIYzjsqOMZMmQIQghmzpzJLbf/hZPPuIrhw4ezePFiTjvtNKZMmcKjjz6Kqqp8+eWX9TxtV1/9IJaVIB6vJJGoIJGoJpmMkkhWYxhxjGQc0zQwTQPLMigq2sTWrRn7uJ7KbbBjw65F8+fzvwsXIrkuAdOkl6qiugJHuNiOgyMESQE2Ak9CTsKWwNVtXFnFWVOMg4sjNR/a0poI2/QfNZj+owbXvR5bVsW6L9bgOA6ObePYDq7j1r0WwKiTDuezf3zPmg1bWPqn35HtA0WWUBUJVZbrjCtVUVBVBUVRUTUVVdVQVM+QUjUdVfOhaDqq7sdBoSph06tnd/zBML5wLsH83bygjg0fPQwLHoS8/eCSN2HgcXt/oH00yz6DpRmEcJAA6+ULieV71m/9S1vDFzqx52xR80eSqAsz7T5fCCThmRmS8F5789ya595jyHE5vsfBnHVGai3rN376HvkjDA49K/WGX5ZjETWjxBJR4tXVJOMJjFgcI57ETpjYcRPXsBFJBwwX2QRfPECvRDbBUgO/K/C7EALUBr6feM0UQ5CQBDsdk79Z2/DJLiEFIiqEdJksn0rYpxEJ6URCPrLCAbKyQt6UGyY7L5twVhiljd2SKxyNQyKtM1ia63+0bt06XnzxRcaOHUtBQQGbN29m6tSpBAKBFrcTSES3gt51PCxV5ZsACGelljOy4pPnKS75XxA+JAJI+JGlALIc8B6VAEpNnoosBxCuRDDQeJx//Pjx9V7fd999TJ8+nSVLljB8+HAmTZrE9ddfz+TJk+vWaUhnRtMCZGcHyM5uXmNo5sw72LrVoqJiC4FADpoWSIuGCIBr2yRaoHKbKUo3eYbopGuvI6t76z0CruNiGxa2YWIlLWzTwjIsb55lY1sWfYanbpyH8rI4+OTDm9mnwwB/FTuTKoZQUcwkER3itovtOtgCHFfCFt7kCBkbBRsZpwWXy8t/djR9Dz8VtiyDubd5XpXjfgfH/x7UzlPm39XYZ7A0g+nXKOvuQ7cFmrX7HXEDLsXdpOX3vvzVzmk4LiskCSQJIckISULIimfcSJLn3ZFkkBQqs3vgG3n5Xu9vDCG7uHbLknQ1RSM3kEtuIBdaXulbh+u6GAmbqsoksSqTRLVJMmZixCysuIUdtwluKOGAhJ9hukWZLYiaUGooxGIQlSXiskxClRGSA0Rrpl1IwiXgmIQci5CwCOEQkl3CCoRVibBPIexTyPJrhIM+ssJ+z/DJDhLJChPOClIt+emV07qLSnP9j/x+P4sWLWLatGmUl5fTo0cPjj/+eD755BO6d29Z8mwiuQNXkVDVrtG+zTS8iqmvV5+G+62GsAMIJ4hwg0giiEQIWQqhyBEUJUTC/gi0SmRrBEIkcanAZTsIA6QkkjC8yTWRhECSISdvUEpjcRyHl19+mVgsxtFHH82OHTv49NNPmThxImPGjKGoqIhhw4Zx3333ceyxx7b6M3ueMz/Tpj1dM8dFVb2Qkaq6KCpoKqiq7N2YmD3Q5F7oul43+fw+/H4f/oAPf8BPIOQnGPIjKnYgZJlIIxVo7cWm4u0EEglCWW37HcqKjB70oQfbptzcsn0q/Gryw616r3AcHDOBbcSwjQSOGcc2DOKxKop3lpIX0ti5uYh3vqnArd4OL/8KvpkDBcPgkv/AgNb/rvbhsc9gaQYhK3w7LMKokc+Sld8F3XgSyF/ms/nzRQCYfTYx6NqL2mXXsiwTCOkEQjo0kie6/aFXsaojPPRQ40aYkzSoqqiiqqyKqsoYVZVRqqrjVEUNonGTqoRJNGlTbThELZeYLai0JbZaEtGETFxWiSkahqICNtQFt4q9HUgyWz/8D39/63FUQJNkNFlBU1V0TUfTdXRfgKzuPRhz25317pib639UWFiYNn0LyywBLdBuCZ5tZfjh/8Oar8IYRgWWWYUjothU4xDDcaMIEcNhC46IgxtDCZYhi0J+Ou7ZJrcrhMC2DBzHwh9o+qL59ddfc/TRR5NMJgmHw8yZM4cDDzyQJUuWAHDXXXfx0EMPMWrUKJ577jlOOukkVq5cyZAhQ1r1mc899zrWrfsUw4iRNBKYRgLDqA0ZWZimhWU5WJZDIlGBmZCxDRdX2LjCwZXsZsXVcgs7TutICMHaigqGqBpKCxLG98RxHO666y6ef/55tm/fTmFhIb/61a+4/fbb637fd911F7Nnz2bTpk3ous5hhx3Gfffdx+jRo9P1cVqEpCiogTBqoH4fr3yg1ucpfT4XvllMaMEfIeyDsx6HkRfSdRTrOjctMlimT5/O9OnT60Skhg8fzh//+Me6fhVFRUXcfPPNfPTRRxiGwWmnncajjz5KjyZkpO+66y7uvrt+gtrQoUNZtWpVCz9KZnBr2qRLcvptu1QO2jbvI68KZecuXRR1a+eSznerTIQda3Idxe8jt2cBuT3blpBmJpJUlldRVVFNVXmU6sooldVxtm3ezAGRQpx4FkYijplMYhpJLNMkaSSpjsdIuDtJ7tjMqK1bCPfpmJCM7Zajup1DwCwVdF+Qg444t/kVa/hg/hCycpqvgJIkCU33o9H8BXPo0KGsWLGCyspKXnnlFS655BIWLFhQV8F01VVX1fVHOuSQQ/jggw/45z//yQMPPJDyuHcnK6sHo0admdK6c98+goB0GsePu7nefNOwiEeTxKJeN+9EPEnJmh+wn/kzyiGj6X9MBzbDEwJLktgpXH745BP6HnVUq0JeDz74INOnT2fmzJkMHz6cpUuXcumll5Kdnc31118PwP77789jjz3GoEGDSCQSPPLII4wdO5a1a9emRZE33RiGwRffbQAE4XAWXPYGdJF8s65Ci67Cffr0YerUqfWS2M466yyWL1/OgAEDGDt2LCNHjmT+/PkA3HHHHYwfP54lS5Y0+aMePnw477///q5BpSiK1B7UtkmXpPSPKZWDtq30v/YcXDeBpmVR9MTzSLHOpZzoJgRSO/Wa0QN+CgJ+CgpbrmPyyf13s2T5ZwR7tl1crrUIqpHp2PyFTGHbccAlEEivMajrOoMHe4mZhx12GJ9//jl/+9vf6vJWGupavXHjxrSOoSEcx0LRK/Are/+edJ+G7tPIyd/lPdpcvJPqLVvIu+v8tOXEtAZJlsmyLLYFg8x47z1+adsMqlF0bgmffPIJZ511Fmec4Wn0DBgwgH/961989tlndetcdFF9T/DDDz/MM888w1dffcVJJ53Utg+SZrZt28arr75KRUUFZx47Av9P/7jPq5IBWnQVbiqJbcuWLWzYsIHly5eTVZMUNnPmTHJzc5k/f/5e3V/rDUJV6dmzc93511JrsMgZMFhSOWjbiqJoKDXyzlJcgVBqwk3NeX8sy+L222/n7bffZt26dWRnZ3PyySczdepUCgtT1wkRtoKkdx4l0caIlpbiFwK5g4xpy7TYufos7Hhvnv18ForqoqiC8o29UXSLHvvvRFElFE1C0WRUVUbRZVRNQdEUVE1F070qB03XUHUdVffCXZruQ/P5PK+FL4Cm+5Db+WRbXb0SgFBwcDNrtg3XdTEMgwEDBlBYWNhg1+rdOxxniurK7UiySzBFTZ3EJq/1RXhgx7e+uPIPf+Cbt9/mP2vWoOityz8ZM2YMTz31FGvWrGH//ffnyy+/5KOPPuLhhxvOLzFNk6eeeors7GxGjuw8gmpCCJYtW8Y777xDQUEBV1xxRYtz0/aROq0+++6ZxFZUVIQkSfh8u37Afr8fWZb56KOPmjRYvv/+ewoLC/H7/Rx99NE88MAD9OvXr9H1DcOoVxJaVVXV2o/RLLs8LOk/gbf0oG0rUtwP3ZvuUFtLc96feDzOF198wR133MHIkSMpLy/nhhtu4Mwzz2Tp0qUpj0kIH0owtTEBLFy4kL/85S8sW7aMbdu2MWfOHM4+++y65ZmKe8eqKgh00B2T67q8+Kc3iO08nO5DN6EoYFtetSSAY2pUbpdxHRnXUXBtBddREY6K62ggdh+3Cxg1U+NIsoWk2Agho+oJTrmigIEHZC6Hq7JqBQDhyAFp2+aUKVMYN24c/fr1o7q6mlmzZvHhhx8yd+5cJEnilltu4c4772TkyJGMGjWKmTNnsmrVKl555ZW0jaExKktrK6hSM0CMrduRJJVAYce3ZfDn5KDVqDRHerTu4jx58mSqqqoYNmwYiqLgOA733XffXg0433zzTS644ALi8Ti9evVi3rx5dOvWeO+n9sQ0Td5++21WrFjB4YcfzmmnndapogM/Rlr87TaWxFZQUEAoFOLWW2/l/vvvRwjB5MmTcRyHbdu2Nbq90aNH8+yzzzJ06FC2bdvG3XffzXHHHcfKlSuJRBpOqHvggQf2ynvJFEJ4d/+SlP5QSqoHbbpQEmHISs2b0Zz3Jzs7m3nz5tV7z2OPPcaRRx7Jxo0bmzQ4a3FdF0kLo2SlLuIUi8UYOXIkl112Geeeu3d+RKbi3rF4jIDe+iTDtvD2Y+9SuTOXIYc7jP31ZS1+v21ZWGYCy0xi1eTmWKaBbRhYlolteiWltmVhmzaWZWNbDrbpsGG5Q7KiO1/M+y6jBkss9j0AWZG9u/y2lh07dvDLX/6Sbdu2kZ2dzYgRI5g7dy6nnHIKADfeeCPJZJJJkyZRVlbGyJEjmTdvXssbUraCaJUn1pKVl5rqrlW8AymQk7Fw0Jq5c/lw/nxkqUaPRJYRQjDqiCPxh8MMOv44lN1aScTKvf5bkV6tC5G+9NJLvPDCC8yaNYvhw4ezYsUKbrzxRgoLC7nkkkvq1jvxxBNZsWIFJSUlPP3000yYMIFPP/20w70YVVVVzJo1i5KSEs4++2xGjRrVoeP5v0KLDZbGktgOPPBAXn75Za6++mr+/ve/I8syF154IYceemiTB9nu7tcRI0YwevRo+vfvz0svvcTllzdcOTJlyhRuuummutdVVVUtbiSXKq7IXNJtqgdtOrDiUWTHj5Sdmqx/a7w/lZWVSJJETk5OSvtwdpQjKTpqfuqJpOPGjWvSZZ+puHfCMumZ2/53dotf/ZgN3/go6FvJ2F+f06pteGJXGoFQy/JfPv7P6yQrvJuGquIIKxa+h+bT0fx+rwTXH0T3B/H5Q/iCYTRdb3WyuJHcBkjoem6r3t8QzzzzTLPrTJ48uZ4OS3sRj27FdVSy8lK78LqlJRBO33ezJ6s/X0qxptHHcbBcl82yjK1pFK3w2ipo/53PAMkTVlMVhdJYzAsvtrJS6JZbbmHy5MlccIGnD3XwwQfzww8/8MADD9Q794VCIQYPHszgwYM56qijGDJkCM888wxTpkxp+4duJaZp8r//+78kk0l+/etfd9p0hh8jLb4KN5bE9uSTTzJ27FiKioooKSlBVVVycnLo2bMngwalppUAkJOTw/7778/atWsbXcfn89ULPWUS4XoeiUzksKR60KYDo9Qr4dVzUrtotdT7k0wmufXWW7nwwgvrcpiaHdMGT2RN65WZE3E6495VkqBfuH31T1Yv+Y5lc6MEw1WcPzn1apt0kYzt0u+Jl/bg41nghZRqpf8q6r9BcpFVA1m1UDS7ZnJRdRdFE6g6aD4Z1Sej+xQ0v4rm05Bkg+KdNsFuXTf2v37VJ6xZ/WckfEgEkaWgpzGj1E5hNC2MqoXRtAhVVd/gkIeqphZmFOUlkJ25cFDCSJJl21w6dWrd2zo6WwAAYTJJREFUvGhxMUZVFe/MnEnctqkEHFNgSxKOJNGWW8R4PL7XjayiKHXVW41Rm4PUkbz66quUl5dz5ZVXdrin5/8abb4KN/QDqo0xzp8/nx07dnDmmamV+QFEo1GKioq4+OKL2zq0tCBqPSwZMFhae9C2hmRZKQB6bmrGQUu8P5ZlMWHCBIQQdUJqqWBt8dzKWt/0liimO+6dqPIE0EqNeLqG2CzF67fz/rNrUVWTC+86HTnFC1s6OemC8zjpAnBsB9NIYibjmMlYTdl3AjNpYJlJ7zFpYhomlmFjGQ6W4WKbDrYJtgmWIZGsVnAsBcdScSwd19YRjo6niXwl2f2/hpaJ/3YaNm14FzmwBpEcgaAEW0qAnECSvEmWTa9zqQMk8T5yVerhL7m6DJGo5subpiIHAsihIEoohBIKokaCKOEQWiSElhVGyw6jZYXQs4KoKba/SNg2/j0ELcM9ehDu0YNf3HtvyuNMlfHjx3PffffRr18/hg8fzvLly3n44Ye57DIv5BmLxbjvvvs488wz6dWrFyUlJTz++ONs2bKF888/P+3jSZW33nqLVatWceaZZ+4zVjqAFl2Fm0piA0/d84ADDqCgoIDFixdzww03MGnSpHpy1yeddBLnnHMO1157LQA333wz48ePp3///mzdupU777wTRVFa1BQuk+zKYUn/BaO5gzaduEnP8IquLyK73/Bm10/V+1NrrPzwww/Mnz8/Ze8KgL2jCiFC6P3T61JNd9w7ttmTIh92UOZ64uxOvDLGqw99Amice8sxBCIdq72iqAoBNUQgFALSa1w6tolpxHjh7v8SCGU3/4ZOimVtwxX9OPXM2Q0ud10b24phGNUYiUrMZDVZualrdIj9hqOsXo70/qtIdhLZtRB4MoiN6VgLJFxFx1F0hKLjaj6E6kPoPtB84POzpXsO0R4R1vt8DLTarwv8o48+yh133MFvf/tbduzYQWFhIVdddRV//OMfAe/GbdWqVcycOZOSkhLy8/M54ogjWLRoEcOHN3/+SjeO4/D555/z+eefM2DAAA499NB2H8M+WmiwNJfEtnr1aqZMmUJZWRkDBgzgtttuY9Kk+i28a0NGtWzevJkLL7yQ0tJSCgoKOPbYY1myZEmnEQbaVSWU/qTb5g7adBLq0weTjajh1AyKVLw/tcbK999/z3//+1/y81vmsrYrEgjTRQmkN7yX7rh3dJOny1EweP90DrNBHNvhX/e8jWNHGHvZALoP+HHHxxVVJ6DquA4EIp1LI6gl2GIHsmjcIJZlFd2Xje7LJpKVWqLt7hz2r7/Xe+3aNnZ1HKMyilUZxaqKYVfXTNEYTjSOE08gxRNI8TgimURKJiCRAMMAIwlmgrU53TEkl0jSalHovq1EIhGmTZvGtGnTGlzu9/t59dXU+qVlgu3bt/Pll19SWlpKeXk55eXl2LbNkUce2S5l7/tomBYZLM0lsU2dOpWpu8VAG6JWJbeW2bMbviPpLNQm3coZSLpt7qBNJ8lSL1/E3y01Q7A5749lWfzP//wPX3zxBW+++SaO49Q1/svLy0PXm2/w5Vbb4GZeg6Wtce/qrZ6HJWvAgDSNqHFeeeANEtFcDjstyP6jh6VtuwMGDOCHH37Ya/5vf/tbHn/8cZLJJL/73e+YPXs2hmFw6qmn8o9//KNJlep04boudjJIKDv1arFOh7wTTdq7cWK6mTp1KlOmTOGGG25g2rRp6LltExJ8+86pDCjcn4uvav8cqc6IEIIFCxbw4YcfEg6H6dWrFwMHDuTQQw9lwIAB9GplVdQ+0sO+ovFmELXS/FLX7rBplJUDIQIFqd3dNef92bJlC2+88QbAXiV9//3vf/dqBtgQriEhKS1zQ0ej0XoJ2evXr2fFihXk5eWRn5+fkbh3tLgYSQgi/fq3ehupMPfp9yjZks3Ag5McfU7jukWt4fPPP8dxdhmHK1eu5JRTTqn7XiZNmsRbb73Fyy+/THZ2Ntdeey3nnnsuH3/8cVrH0RCJaAXC0emqESHXdZB9pfik1AUTW8Pnn3/Ok08+yYgR6Sn9FkLgYhEMBNKyva6OEIIPPviAjz76iBNPPJFjjz0WRdmnVtuZ2GewNIPrmgDIctd1VwNY5dWggR5M7arQnPdnwIABzTb+axZXRw62zGBZunQpJ554Yt3r2vL2Sy65hCeeeCIjce9oWQk+VyCn4DVqLUvf/pzvl8rkdi9n3G9bV77cFHuGWKdOncp+++3HT37yEyorK3nmmWeYNWsWP/3pT4Fd+WhLlizhqKOOSvt4dqeqzAsRh1OsYOtsRCt3ICs2oWDLQz0p7yMaZeLEiTz99NPcm6YkWCNhISSHYCiYlu2lGyEEa9euZcmSJUSjUYLBIEOGDOGwww5Le5WoEIL33nuPxYsXc+qpp3L00Uendfv7SA/7DJZmqNNhyUAOS3viVBpIgU52t6CEkCNmi95ywgknNGkoZSLuHa+qxC9lrn/LuhVFLHm9BF8gys/vOCfjvWJM0+T555/npptuQpIkli1bhmVZ9dSohw0bRr9+/Vi8eHE7GCxlAERSrGBrDZ/PnU759s1oPj+aP4jPH0QPhND9IfRABF8ggi+QjR7IIhDKRtVDKf8fyks2eOPPyVxTzGuuuYYzzjiDk08+OW0GS0VZNQDhrM7XULOqqop///vf/PDDD/Tu3Zu+fftSVVXF+++/z0cffcTpp5/OQQcdlLb9fffddyxevJhx48Z1WDfofTTPPoOlGYRrIUmtF8TqLIhqINQy4yCT2FVxJNWPmtf5TpZ7Eo9F8beyZ0pzlG0t4Z0nvkGWHS7441hUPfOH5GuvvUZFRQW/+tWvAC/BUNf1vQT/evToUZeXlEmiFVWASk6K+VUtxbFNFj37HyQZBCDsFAwRSaBoAlkDVcfry+RTUHUV1aeh+TQ0vw/N7yee2IiWEyJ3xICMjH/27Nl88cUXfP7552ndblWNwRLpZAbLli1b6nIbJ06cyODBg+vOvxUVFbz33nu88sorCCE4+OCDU96u4zh89dVXbNq0idLSUrZt24amaXTv3p2qqiqysrL2GSudnH0GSzO4rtnlw0EAUkxH6p5+fZfWYtaKxvXsvIkLQgi+/c9/2NCjL6Y/wD133F5v+Z4mrPda1D2T6j3ftVLdcwHB8kNR8HH2pEOI5LXPd/HMM88wbty4FjWpzCTRyjiS4ieQopLr2i/n8sW7L1L2QzVWwmbYTw/wVHcDIXyBEHogjC+QhS+YhS+QjZGoQLgyJ/z6TEadeAmWFcdMVGIkqrwpXo2RjGIlojVaMzVTIo6VTHjtDBIGlmFiGRbJaJJYaQzbdHFMgRmVkeS+nHlx+g2uTZs2ccMNNzBv3jz8rVSVbYyqyhgAWTnhtG63tTiOwxdffMHcuXPp0aMHF1xwwV7tWXJycjj//POZNWsWH3/8cUoGS1lZGStXrmTFihWUlZXRs2dP8vLyOO644+pax+Tm5nLsscdm6qPtI03sM1iawRUWsty1E24B5HgIKSv1JoOZxtrk5S3ofTq+mVtDFH3wAR/MncvWYJAcRaV3bg5SwA/CM2SE98S7Yxd7PK953P35rnkA3rJEQkW1c+h9iEvv/TMXTtidH374gffff79e6Kxnz56YpklFRUU9L0txcXG7yI5vX7WaZPkynrjmUdRaBVy/jubX0QM+dH8APeBHD3ohnNUff0z5RgO3xlPyzXvLcSwZRNNe0F6DD0GWfTVK2blEctIz/n/98a8Ur/sSRUl/KG/ZsmXs2LGjnu6H4zgsXLiQxx57DMMwWp0YWl0VBSA7r30VnPckmUzy7bffsmjRIsrLyzn00EMZN24cmtbwjaIkSRx22GHMnj2b4uLiRivZduzYwfz581m1ahWapjFs2DDOP//8fZU+XZh9BkszCNfMiMpte2IbMVQzCyk3s7kRLcEqrgAC6IM6x11+LVuWLGHenDlsCATIlmXOHD6cUeedl5G8kucfmksFDsedfUTat90YM2bMoHv37nVNLcFrsaFpGh988AHnnXce4Gkqbdy4sV2SD+OlCSQJeg3rhZlIYCYMzGSCeGUUO+nimGAb4Fq7/ge9Ds7motv/VffacSwso4pkvJxkvAIjXoURr8RIRDES1fj8YXr1z8z3HKssRfNnxjt20kkn8fXXX9ebd+mllzJs2DBuvfXWNlWxxKo95easnI4JCTmOw8cff8zChQuxbZthw4ZxwQUXpFRKP3jwYILBIMuWLeP00+vLI5eWlvLf//6XlStXkpOTw1lnncXw4cNTklrYR+ema1+J2wFX2F3eYEmUep1h26rZkE7s0jiuYaFkd44xFX/6KXMfe4z1AwcSlGVOHTSIIy+6CCWD7eJd10VCA9E+hqTrusyYMYNLLrkEdbfPlZ2dzeWXX85NN91EXl4eWVlZXHfddRx99NEZT7gFMGIxAll9OOeGxhtrAriOg2XGSMbKCGXXv0tWFA0lmI8/6HnsHMfhrrvu4vnnn2f79u0UFhbyq1/9wO23316XD/Hqq6/yxBNPsGzZMsrKyli+fHmruu4moxUEIplpjBmJRPZKLg2FQuTn57c56TQWiyEJpVFPRiaxLItXXnmFNWvWcMghh3D88cen3DQVQFVVjj76aD744AMMwyASiSCEoLi4mHXr1hEOhznjjDM45JBD6v3W99G12fefbAYhnC5vsBglOwHw53cO9WAAp8oEx+zwZOaqrVv54Jln+No00Xr3ZrRpctJdd7W6C22qWJZN1QYZNSdJTkH75BC8//77bNy4scHWD4888giyLHPeeefVE45rD8xEJVkp6APJiuLlpgSaN3IffPBBpk+fzsyZMxk+fDhLly7l0ksvJTs7m+uvvx7wLtjHHnssEyZM4Iorrmj1+K1kBd36Zl40Lt3E4zFUqX2ayO7JW2+9xbp167jwwgvZf//WKUgfc8wxAHz99df88MMPSJJEbm4up5xyCocffniHGGL7yCxd+0rcDmzZ8i9su6Kjh9EmjLIKIIK/oPPEbkWCFovGpZN4ZSUL//lPlpWUICSJw7Kz+ekVVxBowV1eW1ixeBWSq3HQ8T0zkvvQEGPHjm20JNzv9/P444/z+OOPt8tYdscxqwlm56V1m5988glnnXVWXehrwIAB/Otf/+Kzzz6rW6e2weqe6tstwbFtXDtKpA3NNVvKhx9+mJbtJJIJhCOx5uv19B/cG1+g/UImGzZs4PDDD2+1sQIgyzLHHXccxx13XBpHto/OzD6DpVnSV1mzctt/mb3yCWJ2lFxfLgXBHvQK9yagBvApPvyKj6CeTVagD/nhgUR8XlxcCAdXgCK3Ll5tV8RBVdGCHZtctzvCUZED7W+w2Nb/b+/Ow6uozgeOf2fm7ktudpKQQNghQIIiIouIiiwi4m5d6lq1danFWoW6oYjQX23FakVt3aq11qUotSqCioqCssi+hyWEhJD97tvM/P4IiUQC2W4W4Hye5z6Qe2fOnMkkue89c877Rnj/+RfYWF4z6Xew0ci4X/wCV2bbJf1qsB+hmp8rm7NjPuF2FmpURVN9OBJjG7CMHDmSF198ke3bt9O3b1/WrVvHsmXL+POfj33bqbnK95cBGvFdjr/KvbquEVV8vPnea3Rx9uBXv72+8Z1iQNM0vF7vESuABKExImBpxEptIP/YtxZeO/J+sQzIUv3lrYd/ftX1+l+rSNhlSDaZ8ET3UR3VUI9YHHskk6QT1SXSzCbSLHbQNTQULAYL8SYnLnM88eZ4XGYnTpMTlzmFeFsG6XF9SbFnoLnDYPW28DvQRmQ7Slzb1xGqpes6P3ywkKXfrcB9KEvmzydOotcZHZN3YcDQHqx5r4zyA9UdcvzOorK4HNBwpcR2hGL69Om43W769++Poiioqsrs2bO55pprYnqc0oJiAJIy277mUqzdeMfV7NleyDvvv0mJZzd/nj2f0aNHcvpZeW163NpCgi2tni6cvETA0gi30pUUyx6uzK6/WkJHR9MPPdCQkA4LPSRqp2Yc/rxBNnHJwLtItGcwf/58nnvuOfbs3Q069OrXg5vuvoZTzuyHN1DM/oq9zHrsdfZ/cxBFkxlweiY9b03Fo4eQUZBRcYcq2O87gDeq4tMg3MCyThl4eP8vGO45lRWz/kNQCRGSI6hGHYyAWUY2G5BNBmxJTkaMO6/N62dEq71IRhtKUvsELDu++YZP//cRpSYjXcMRLjnvPLIPpaDvKPGHlpLu/LaKcy/RkNvptlBnU15YAkBCWmwDlrfffpt//vOfvPnmmwwcOJC1a9fym9/8hoyMDK6/PnYjCd6KKgD+N+9B/ve0EVk2Y7Incdv8pzr9ZE+b3ULOKb05Y/dYdu7cSamvkM0btrV5wFJcXBPkieXFQnN17t+ozkA2k+bozq3D/xjTZjMzM/nDH/5Anz590HWd1157jXtvfpgffviBMwdezK9+9Sv0LQY+XfhpXTG69X8NHrUYnaZF8Yer8YQqqQoUUeEvpMRbQIl3P5XmQjaVO1EMNoxRI86oBSkMildCqZIwRg0khmsmMm6I+44hI0bG9Fx/KpRfs2rJmNZ2qdgB9m/ZwqK33qJAkkgMBbksdzADr7zyiIm+8+fPZ/78+XVzGQYOHMjDDz9cV0Z+7NixfPnll/X2ue2223j++edb3rddNROhNV09MgPdSaTyQM33ISkztvlefve73zF9+nR+9rOfATB48GD27t3LnDlzYhqwDDlvJAGPF3+1m5A/wIH8zfgrd4B2/FSennDJGCYwhsceno3F2rLJ5l6vl9LSUvx+P4pSs/LI5XJhMpmorq7GbreTkJCAJElUVFRgtVqx2ztXhl2h8xMBSyNUXUVugzoyU6ZMqff17NmzmT9/PitWrCAzM7PZxehk2YDDkoTDkkS6q3f9F5sQf+zYshHra5Ukf6Dy+Yq30EygmyUks4JiMSBbjBitJkw2CxabDYvNit3pxG53YrM5mvVpMrKv5k3KlN02Q8KVxcUsevVVtgWD2AMBJnTvzukzZqAcpWBaZmYmc+fOrRc8Tp06lR9++KGuaOItt9zCY489VrePzdbygnEVpdUs+L91SMgMPLtLm9cO6syqD9b8LCRmxHaExe/3H/F9VRQFTYtttmezzczYa3/8XX7n8WfZ5y7CYDr+VqhoUpRtBeuY9chmZGQkSUaWFOTaf2UZRVZQFAPnjDuLnFN74/f7+eijj9i4cWOj7aekpNCjRw+KiopEsCK0iAhYGqHpWpsELIdTVZV33nkHn8/HiBEj2r0Y3RcFX/DwuocZmTaY0cFTiYs4MftlTFED5qgJi2rCph3+ycsP+FEpxw1UoRGQQwSVMGFDhLAhSsSoopp0NBNgkpEsCrJFwWAxkbzRg1Prwta93+Cq2osrKR2zKw5zQgJGq7VVS51Ld+7k+ddewxCNMsrhZMzdd2NqZELnsYLH2oDFZrPFLOur2WICWQNNpmhXZd3z0UgUg/Hk+pX0lFcgyTaM5tiuUJkyZQqzZ8+mW7duDBw4kB9++IE///nP9ZZ0V1RUUFBQQFFRzYjftm3bgJrMvy291r6qCoymzpFbqLlGDx1HaUkpUVVFjapE1SiqqqJpKqqqomo1/68M7mP9D5vpl9eDN998k7KyMiZPnkyPHj2w2+1omlaXOTkYDBIfH091dTUbN24kPz+fQCDAhAkTOvp0hePQyfXXsYXaKlfIhg0bGDFiBMFgEIfDwYIFC8jJyWHt2rXtUoxuwY4F/OH7P+CL+pAlmaRR2UweelODn/hVVcXv8+L1ugn4fPh9PkL+AGF/kGggTDQYRgtG0UMaUkhHCoMxrGDwyZgiRsyqEYtqwqqZgTjUql1Y751LGCg97DiaJBE1GlFNRjSjCc1sRjeb0S0WsFpwu+KpSEkmLi4Ok9lMUkYGp1x+ec2+msZ7f/sbusnELT/7Gcl5zb8X/9PgsdY///lP3njjDdLS0pgyZQoPPfRQi0dZ7E4r1z0xitce+JrKbSa++ngV6xeVQNDMubf2YsCpPVrU7vHIV12BwRT71SLPPPMMDz30ELfffjsHDx4kIyOD2267jYcffrhum4ULF3LjjTfWfV17++iRRx5h5syZLTpu0FuFydZ562Mdy7gLRzW6TTSs8vjsWdgdNoqLiyksLOTaa6+ld+/6o7q1t4Bqpaen079//5j3WTi5iIClA/Xr14+1a9dSXV3Nu+++y/XXX3/EXIm28mH+hzy6/FEArux7JdOGTsNuOvowraIoOONcOONa98dYjar4vG48B+N4tHcimWoyt/W5jojHTdTjRfV5Ub0+NL8PzeeHQAA9EIBgEKm8gr3OOIplGXNlJWGDAbWykoGTJ2Oy2fjoiTkcsFo5v2/fZgcrRwseAa6++mq6d+9ORkYG69ev5/7772fbtm316vE0V1y8nT6j48lfXsWGD9xIWAGoLPW0uM3jUdBThcka+zd4p9PJvHnzmDdv3lG3ueGGG+oqVsdKOFBNfFqvmLbZmVSUukGCOJdTpLoX2p0IWDqQyWSq+2QydOhQVq5cydNPP82VV17ZZsXoomqUaz6+hs3lmwH47dDfcsOgG1rVZnMoBoW4+AScrnh2pATpmTSQPhde2uT9V8ybhzEQ4P7HHuOLZ5/lq4OlbPzkE0r37mVVNEK218uwq65qdr+OFjzm5ORw66231m03ePBg0tPTOffcc8nPz6dXr5a/OU286gyil6t88/F6Kg54KFodZd/2MjiJRsvDATfO5K4d3Y2YiYbd2BNim1OmM6korVmGH58YR2JiIgaDgc2bNx8xwiIIbeHkne3XCWmaRigUqleMrlasitGtK11XF6x8cfkXqLrKf3a0fKSgpYqrignLYXom9GzWfpqm1d2yMhiN6LLEwvXrWV5dTWogwGW//W2LbuHVBo9Dhw5lzpw55OXl8fTTTze47fDhNblbdu7c2ezj/JTBoHDWlFPo3r9mAnL/09o3gV1Hi4Y82Fxtu1qsvYT8IXQtQFw7Zr1tb1UVbgD+++l7zJkzh2g0SteuJ07AKXRuYoSlg8yYMYNJkybRrVs3PB4Pb775JkuXLmXRokVtWoxuaNpQTk09lTUH13D2O2fXPV/iK+FXQ37V2tNqsk37NwHQL7V5NVgOD1hG33orefv2oYcjGOw2rF1it+KmNnhsyNq1a4HY5pHYvKIAXdEZNOzEvZ3wU2o4gqb6OLhlCW/e+jEmo4LRqGA0GTGZjBjMZkxmM0aLFaPVhtFiw56cTvcJNyB1gpVV4ZCf/z0/DTUaxmA21VWT9kfWsmaZB6PRgdHkwGS2Y7I4MVscmK1OzFYnRpP1uFsdpus6heu8WNQk+uVlkZ6eRs+ePUUCOKHdiIClEVIbJck4ePAg1113HcXFxbhcLnJzc1m0aBHnnXce0LbF6J4/73nmfj+XqBqlZ3xP5q2Zx8L8he0asGwv3Q7AwK4Dm7Xf4QGLJEnEdevW6r4cK3jMz8/nzTff5PzzzycpKYn169czbdo0xowZQ25ubquPXWt/sYJDlZjzyLdoRgndKIOp5iEbZSSTjMGsYDApmCwGzBYFs1nBajFgtxqxWww4rAacViPxNiNOswGrIiN3cHHJYwmWHsRgG0umaw0WS5hIOEIkEiXo9hOOakSiOpEoRFSJsCajH/pdvCEti6Qh46CDz61g8zJ2fbsfa4KGroMa0THadUxd36UyHIEw4Gt4X12X0KMW1IgZLWpGkW2gW0C3IlHzkCUr2L9C0jIwqWNQDFYUxYpisGI0/viv0WTFaLJjNFsxmu2YzbaaIM9oQJJj9z06uMdDybYgF994Of2GxzZvjiA0hQhYOshLL710zNfbshid1WDl0ZGPElbDjP33WABuH3J7zI9zLHuq9mDRLCQ6mne/X9O0mGcQPVbwuG/fPpYsWcK8efPw+XxkZWVx6aWX8uCDD8bs+NtLy1mU5+D0apUEgxktrEFYRQ9rSF4VKaIhRzSUiI4SrXlEgSg174dlDbSpShA2SESNElGDhGaU0IwyHAp+JJOCcigIwiSzyh8gL8lBZpwZq8WI1aJgtxpwWIw4rEbibAbirDWBUKyCIF9xMQZzHqOuHUXKaacfc1td09j9vxdZ8MaHvDr3aczyn7AaVYyKhKwoNQ9ZxmCQsdvMOOLjcCalktIvj65nXRGT/v5UdVkBAFfP/jPxST+ugNE0DTUSIuj3EAx6CAU9hINeIiEv4bCPaMRLJOIjqvnZt3s/jiQdY5yKrvvR9AC65EWnFFUKoMjV6HI1AXYjSWEkNOoufiO0qBFdM6KrZnTdxKHkSkiY6/6VJDOyZEGWzciyBVm2oiiWmofBgsFgQ5LM7Ftvo2CthYQ0Gz1P6TxV34WTiwhYTlJRNcrZb5+NJ+Lhir5XMKXXlMZ3iqFCXyFJUlKz99N1PeZD6ccKHrOystp85dbCXfvY3M3Ma6f0JCu+8RweuqYTCasEA1E8wSjuQBiPP4ovGMUfiBAIqgSDUUIhlVAwSiSsUl5ygA/fe5qtW74lEg6SlJjJpedPp1tSX+SIxt5Fc3l326f1jjMgcxh3TJ5b7zlVrgmE1EPBUG0QhElGOhQMKYdGgoxmuWY0yKxgsRiwWgw1gZBFoatWRmhbPpCCrQm31iRZJnvSTVxmtuEtLcJfXYWvuppoKIgWCaFFw2hRlWg0SlWlh31F1fjC++GzH/jNqWcjOWP/JusuK0I2aDhc3es9L8systmK0WzFSSO3S847+kszZ87k0Ucfrfdcv359Wb9+JSXF+5k1aw6ff/EVhfsPkJjoYtzY4dxx26VYLQrRaABVCRBVg6hqAE0NomlBND2IroVq/iWARhWaFAI9DHoISQ8jaeGa4Ciq1gVGpm4uxgz4gD7D0jGa2rZ0hyAcjQhYTlIHAwdxh90YZSMPjXio3Y9fGiklw5LR7P3aImDpaN9WekjV5SYFKwCSLGGyGDBZDMQBjU15rKys5JRTLuLss8/m+ecWk5KSwo4dO+jVq1fdKqdNN7xGYvZEnnvuRXyhKJ5AhLCmoJgc+AIR/MEowWCUYFAlHFIJh6JEQipqSEMNqzWjQgEV3BG0iIYa0SGioUd1NBUCQOVhfVoPQAqKFMbapWlzgWSDie7jr2vStgDf/fV+Vi1bi2Rrm0m93soyjHYNg8HaJu1DTZmIJUuW1H1tMBgwmeKo9hRQXunjqXnPkJOTw969e/nlL3+JP/xf3n333ZgcOxqNEA75KC9bxvb8u0nL2YnZmhWTtgWhJUTA0giNo6fyDqthCtwFxFviSbYeXysD3tv+HgDThk5r92Pruk4llQx3NL9SsqZpbV6csb1tRmGooe1qz/zhD38gKyuLV155pe65Hj2OTE5nsZjp2TP2b0hRVcMTiOD21wRCr6z8mu0hE89mOLAmpyO3UZFAf0UZNrMOStu0762sxOxs259Fg8HQYCqDQYMG8d5779V93atXL2bPns21115LNBqNyW1Tg8GIwRCP1TaZA6Uvs2/fKyQnn934joLQRkTA0oijpeb/YOcHPLnqSapCVQD0ju/NdTnXMbX31DZP5R8Le9x7ALii37Hv73/11Vf88Y9/ZPXq1RQXF7NgwQIuuugiACKRCA8++CAfffQRu3btwuVyMW7cOObOnUtGxtFHT4oqi1q0pBlOvBGWrSWlVJltnBnfdrVnFi5cyIQJE7j88sv58ssv6dq1K7fffju33HJLve2WLl1KamoqCQkJnHPOOTz++OMkJTX/tt1PGRSZBIeZBEdNLSfvFj8mW5juZ7dtwpmAx407qPDmLZOwmhWMZiNGkwmj2YzRbMVktWG0WDAcWoVksthJGXQGcb1OaVr71T6scS0rFthUO3bsICMjA4vFwogRI5gzZw7djjLRvLq6mri4uJjP8ZIkiZTk88jf9SQ+307sdpFzRegYImBpjH7kSqGXN77MU6ufYkrPKVzS5xIO+g+ypGAJD3/7MN8f+J7HRz2OInfuUYACdwEG2YBZabggYC2fz0deXh433XQTl1xySb3X/H4/a9as4aGHHiIvL4/KykruvvtuLrzwQlatWnXUNuuWNHdp3pJmqAlYTqQRlv/tKQQkLujV+tVOR7Nr1y7mz5/PPffcw+9//3tWrlzJr3/9a0wmU13l4okTJ3LJJZfQo0cP8vPz+f3vf8+kSZNYvnx5zL/f+3UzPeSGl4zH0ikXXYv98w8I+gMEAiECwShuj4dIpJpwVCeiQUSVieo/nl+6679c/eJHTWo/6AkTH+OijYcbPnw4r776Kv369aO4uJhHH32UM888k40bN+J01i9nUFZWxqxZs+olOYwlp7NmNV8gWCgCFqHDiIClETp6XSIyXdd5aeNLPL3maW7LvY07T7mzbrvze57Px7s/ZvrX05GQmDVqVsyDFl3XWbx3MR/u+hB/xM+ApAFcM+Aa0uzNX2JY4i8hrglF2iZNmsSkSZMafM3lcrF48eJ6zz377LOcfvrpFBQUHPWT4I7SHQAMzGjekuZaJ9IIy7JKD6kYyIyLfT2dWpqmcdppp/HEE08AcMopp7Bx40aef/75uoClto4O1GTzzc3NpVevXixdupRzzz03pv0pkp2MNoZj2mZD0kdOJX3k1GNvpOvokRARfzX//f0NSM24fRTyaG2a1fbw37vc3FyGDx9O9+7defvtt7n55pvrXnO73UyePJmcnJwW10BqjM2WDYAsHX9VqIUTx4nzl7+NaLrGd8Xfce+X9zLunXE8veZpfpn3S+4YcscR207qMYk/nPkH/rf7f8xaMQtdj928BFVTefjbh/ntl7+lKlRFnDmOD3Z+wKULL2VbxbZmt+cOu0m3xy7xWa3q6mokSTqicOPhdlftxqpZSbA3fzLkiTTCous6mzGS18YfG9LT0+vqItUaMGAABQUFR92nZ8+eJCcnxySb7+Gi0QgHjPF0tRx7ZK/W/Pnzyc3NJS4ujri4OEaMGMHHH39c93p+fj4XX3wxKSkpxMXFccUVV1BSUtL0DkkSksmCKb4L/hA44xxN2i3oc6NFZJxJ7Zc0LT4+nr59+9a7Jh6Ph4kTJ+J0OlmwYAFGY9sEFAZDTb2nSNTdJu0LQlOIEZZGOA9Vki1wFzC512TO7Homw9KGHXX7iT0mElJDPPjNgxR6Cjm1y6mk2FIYmzmWFFvjSys/2f0JnxV8RpI1iQt6XkDv+N7sde/lhfUv8HnB5zwx+om6JcjVoWpu+fQW7v7ibv578X8xyk37Y+UOu1F1lZ7xzZ9DcizBYJD777+fq666iri4o4/e7PfvJ1Fu2SfTEylg2VhSSrXZypiEti0iN2rUKLZtqx/Ubt++ne7dux9lDygsLKS8vDym2XwBSir2o0kKGY74Jm2fmZnJ3Llz6dOnD7qu89prrzF16lR++OEHsrOzGT9+PHl5eXz++ecAPPTQQ0yZMoUVK1Y0eyTOHdTpk9i0OTtVpfkAxCW1X1p6r9dLfn4+P//5z4GakZUJEyZgNptZuHAhFkvbzafxemt+fqwWkYZf6DgiYGnEjOEzuH3I7aTamv5JamrvqdiNdv655Z+8s/0dKoIV/MnwJ27Pu52rB1yNQT7y2+6P+Jn93WwW5i8kNzmXNQfX8M8t/6x7Pd4czx/G/IEJ2T9OVHSZXdyWexu/WfobygPlTb419F3xdwDkJscuU2skEuGKK65A13Xmz59/zG0Phg+S1YrlkbGeVNhR/re7EPS2nb8CMG3aNEaOHMkTTzzBFVdcwffff8+LL77Iiy++CNS8ET766KNceumlpKWlkZ+fz3333Ufv3r2ZMCG2E2P3V5YAZjJcTQsMpkypnx9o9uzZzJ8/nxUrVrB//3727NnDDz/8UBcgv/baayQkJPD5558zbty4Jvcr4nMTjBqIS+3SpO0rD9YELAmpR662ipV7772XKVOm0L17d4qKinjkkUdQFIWrrroKt9vN+PHj8fv9vPHGG7jdbtzumtGPlJSUFgf1kYibaNSNxZKBdGjxQGXVSrZsnY7F0rVuLosgdIQT4y9/GzIr5mYFK7XGdR/HuO41fzCrQ9U8+8Oz/Gn1n/hw14dc2e9KspxZhNQQG8o2sL50PevL1hPVoswePZsLe12Iqql8V/wd5cGaQCQ3JbfBCbIuc81QrTvsbnLAsubgGgBGpLeukGKt2mBl7969fP7558ccXdF1nSqqGOFs+bFPlIBlebWPNF0m3dm02xAtNWzYMBYsWMCMGTN47LHH6NGjB/PmzeOaa64BQFEU1q9fz2uvvUZVVRUZGRmMHz+eWbNmYTY37dZNUxV5KoE0MpOaX+RRVVXeeecdfD4fI0aMID8/H0mS6vXRYrEgyzLLli1rVsDi2VtTENSZdvRRp8NVlxUCEJ/adhNQCwsLueqqqygvLyclJYXRo0ezYsUKUlJSWLp0Kd99V/PB46eVknfv3k12dnazj1dauoT1G34FaJjNacTFDSEY3IfHswmnYyCDB/8VSToxRjeF49OJ8Ze/k3OZXTxwxgNc2OtCnlrzFDOXz6x7Ld4cz+Dkwfw85+dMyp5EtisbAEVWGNl1ZKNtpztqhuwP+g/SN6Fvk/qzrWIbEhLdXU3743wstcHKjh07+OKLLxpdBru/fD9hJUyvhOYX+dO0mpw4J8ItIU3T2CwZGWk4ep6fWLrgggu44IILGnzNarWyaNGidunHfp8PZ9SHs4m3hAA2bNjAiBEjCAaDOBwOFixYQE5ODikpKdjtdu6//36eeOIJdF1n+vTpqKpKcXFxs/rl2V8zL8SZ2adp25eXIJs0bI6mjci0xFtvvXXU18aOHRvTOXIAXu9WQCMv92+UVyzD79uJzdaLHtl3kpw8rm7ERRA6ighY2tHglMG8POFlvGEvFcEKJEki05FZtwqpJWonzv5qya9Yfe1qTErj8yEKPYXYjfYmte/1eutN8tu9ezdr164lMTGR9PR0LrvsMtasWcOHH36IqqocOHAAgMTEREymI/uyqajlS5ojkQhw/I6w6LpOcVkV2wuKWb2/GI8ziS3RKLcv24bdoBx6yDgNCk6Tgcndk4g3n1irMvaHImSo1c3ap1+/fqxdu5bq6mreffddrr/+er788ktycnJ45513+NWvfsVf/vIXZFnmqquu4tRTT23+/JXivQA4ug1o0vbeijLMdlr1u9vZWKyZgITJlEK/vg93dHcE4QjH51/+45zD5MBhis1tAFmSybBnUOQrYugbQ7mg5wU4TU4SzAkkWBJItaUyOHlwvQm/FcGKJq8QWrVqFWef/WN2y3vuuQeA66+/npkzZ7Jw4UIAhgwZUm+/L774grFjxx7R3raDNZP3BnUd1JzTBGqCJ6gZEeisAuEoX2zYy7aCYgxhHxWVlfg9VWhBL2bVj+FQ5uRqiw3rkDEUGM0UhPwQOfKNb+bOItafl4fVePyPKNUqUmW64m/WPiaTqe62x9ChQ1m5ciVPP/00L7zwAuPHjyc/P5+ysjIMBgPx8fGkpaXRs2fzJpR7Sg9gN0Qw2OObtL2/yoM57sQKJrukTqag4O9s3vI78nJfwmoVE2yFzqVZAcv8+fOZP38+e/bsAWrqXDz88MN1+QLy8/O59957WbZsGaFQiIkTJ/LMM8/Qpcuxh03/+te/8sc//pEDBw6Ql5fHM888w+mnH7t6q/CjRZctYnP5Zt7b/h47qnbgjXipClZRGaokqtVUL+vq6MrknpO5uv/VhNQQ2XHZTWq7saHn5g5L767ejU2zEWdtWt2cw1VUVAAcc45MewiGo2zee4AdBQfYX1JKRUUFAW81hLxYtQAGqeZ7oukQki3oJjsWVwquhAS6JCfTLSOVft3S+HO8HUmS0HUdf0SjKhihOhKlOqxy06qdVDoU+n/6A4/1yuD6/s2vu9QZFWIFo61VbWiaRihUP/FccnJNArfPP/+cgwcPcuGFFzarzarSQnxRI/+dfwdmmx2z3YHFHofFHo/VEY/VkYQtLgW7MxWTNZ6A248toWmjlG1B06Koqh+DwRGzWzWybGRgzp9Zu+4mvvt+Ij173kNW5nVi3orQaTQrYGmLJYb//ve/ueeee3j++ecZPnw48+bNY8KECWzbto3U1PbLcXC8y0nKIWdE/Vwbuq5z0H+Q9WXr+a74O17f/Dovrq9ZGRJvie+AXtYsaU6Wm58dNDs7m717a4btD69ge+mll3LfffchSVK94Xld1+sFU4f/v3Y7SZLQdJ3KkIzNGYfJZMBsNGA2GjEZFIJBP3v3H2RfSRmlZRV4PdXoQS9mLYhSF5RIRBULZosTW5euJCUmYnPG0zurC8P6ZmEyNf4pXJIk7CYFu0mpK2S4+YJTeXZTIU8VHOT+4oO8vb+C507vRXdn5x1daortpjTOk8ubvP2MGTOYNGkS3bp1w+Px8Oabb7J06dK6OTevvPIKAwYMICUlheXLl3P33Xczbdo0+vVr3i3HJFMh8dY49qzejRoCNSwBR7ndI+mgQ3xW29V/aoiu6xQUvMi+wn8QCtXcerVYsujb5wFSUo5R9rkZHI6+nDH8Y/J3/YkdO2ZTUvJfBg9+Dou5+ckpBSHWJL2VM7cSExP54x//SFZWFpMmTaKysrLuE3B1dTUJCQl8+umnR52xP3z4cIYNG8azzz4L1Hx6ysrK4q677mL69OlN6oPb7cblctXV0hAaVhGs4MFlD/L1/q/JdGSyYOoCLIa2rYXyU2NfHktve2/+fuXfm7VfaWkp69at45NPPgHg4MGDvP7661x//fUtWhHRHBFdJihbkS127E4XKclJdM/oQr/u6fTMaPkS0qYIRlXGfbqBclQe2hwi3m7CkG4nvruLQf1TsFmPo9sSmsqITz5mQpyRmaObtlz65ptv5rPPPqO4uBiXy0Vubi73338/551X8wY9ffp0Xn31VSoqKsjOzuaXv/wl06ZNa/7ckpkuPJm9cP5izaGuRgn4yvF7Sgl4yvB7ywl6qwh4qwn53RQV/o/kvjopXXNQFBuyYsdgcNQ8FAcGgwujMQ6DMR6DwYXJmIDRmICi2Fo876W09FPWb/gVGelX4IofiiybOXDgA8rLl5KX+yLJyee0qN2jqapezYYNd+J05jAk76WYti0ItZrz/t3iOSyxWGIYDodZvXo1M2bMqHtOlmXGjRvH8uXLj3rsUChUb0i4Nv+AcGyJlkSeG/ccy4uWc9fnd/Hkqid58IwH2+34UTVKlVRFN2fz846kpKQwbtw4hg4dit/v56GHHqJbt278/ve/P2I0BepPhvzp6F7ttrqu8+9FX+OvKGHyxZcTikSJRlTC0SjhaBTZaKF7egr9uibhsHRMYGAxKCw7fwj/W7yDvLIDqOUBlL0BWFHG6rg9DP3t6djMx8dUNM1byn5zKpnWQJP3eemlY79Rzp07l7lz57a2awDY9+fX/V9WDNjjumCPa/h29ldf/49IxE1F5bdASz7zyUiSjCQphx5GZNmIJJmQZRMGg4OBOU9ht/84F6dg3yu4XKcxYMCcuue6pE5m3bqb2bFzDklJZ8d0EnC8ayjdu/2CHTufQFX9KErrbuUJQms1+y9dLJcYlpWVoarqEXNcunTpwtatW4/ahzlz5tS7LSA0z4iMEUwbOo2538/lupzr6BbXtonLau0u3Y0qq/RJatrS0YYkJCRgt9tZuHAh99xzD337Nm0p99GEPv4G1WDjzLzWtdPWMg7dCope25+kbBffv/gDfUvC7J21nP1npDLuguavumpvpdUHCMsmujk615wINeJDAcoGDqOpN6HHnLmy3teaFiUSdRONVBKJVBKJVBOJVBGNeoiq1ahRH9Gol6jqQ1X9qKofTQ2gakE0LXToEUbTvEQiYQKBIAdK3qdXz3uIRKrYW/A3qqq+Z/Cgv9Y7riTJZGZex7r1v2DVqkuIqn6iUTc2Ww+yMq8jNXVii78vXu82du1+mjhnrghWhE6h2QFLeywxbMyMGTPqVqtAzQhLVlbLM6eejKb2msr/rfw/VpWsareApXZJ84C0pi0dPZr333+fqqoqbrjhhlb3KRL0o5g7/7wQ2XioAGdUw2E3MfbuYWxeXUzll/vov+wg5SOySErq3G8q+6orgQQy49quwnFLhCs2YAWsPRvOU9MUsmzAbErEbGp9McSSgx+zceOd6FqUrdse4sCB99F1jR7Zd5GScuSttKSkMWRl3UQodACzKRWDwUlV1Uo2bLyDAf3nkpFxeYv6UVT0NgaDk1NO+UdrT0kQYqLZAUsslxgmJyejKMoRxcpKSkpISzv6JC+z2RzzDJwnG4fJQXZcNlvKt0DLBzyaZXvZdiRdon9G/1a189JLLzFp0iQyMlq/ckYPBzEntl3yr1iRlJqgX4vWLIuWZZlBw7ry0e5KKKskHOMkYm2h0OsBEshM6FyT6cNlm7AChsScRrdtD4FAzeTyvQUvYDankZV1E1mZ12EyNZyUUZIU+vZ5oN5zuq6zbdtDbN32IBZLBomJo5rVB13Xqaz6nri4XAyGtqskLgjN0eqb361ZYmgymRg6dCifffYZF110UV17n332GXfeeWdruyY04tQup/Lp3k/5zdDfNDmRXGvsqd5DnBaHxdjyib579+5lyZIl/Oc//4lJnwxaELujbVPjx4JiqLmNoqr1M+PK0ZpApfTZtaztH4cuS8iKBLIMioQkS0iKhCxLSIpc839FRj70XM2/NV8rsoQppGKsjqBnOZBNMgaDjMGgYDYbMBokrGYDFpPSolHT/cEQzqiPOEvnGtFSK7cDYE7J6+Ce1PB6anIVJSefx+BBzyA3sajp4SRJom/fmQQC+9i8+XecccaiZgUe4XApXu9mune7pdnHFoS20qyAJRZLDM8991wuvvjiuoDknnvu4frrr+e0007j9NNPZ968efh8Pm688cYYnqbQkFsH38rCnQuZvWI2j49+HLmNU28XBYpIURqvWH0sr7zyCqmpqUyePLnV/fGHwpiJEu/q/CvLauMDTa0/kjL47O7s2+PFENVI3e5G0UDRdRQNZF3HoIGig7GVAzDRQ4/a6bIBBUKKRFiRiCgSUUPNQzXIqAYJzSCjG2semGQwKkSrE7laq8a/cCGS2YRktSBZLchOJ4a+A5BifOu4qfTKXaiKhNKCmmGxpqohPJ6NAAzo/3iLgpVasmxgwIA5rPhuAtu3zyIn5/+Ouq3fvxd/YDcOe18sloxDq5wS2Vf4GomJo446uiMI7alZAcvBgwe57rrr6i0xXLRoUd0Sw23btjFjxoy6JYYPPPAA06ZNq9dG7S2jWldeeSWlpaU8/PDDHDhwgCFDhvDJJ580mmxOaL10RzqzRs1i+tfTCUQDPD768TYdaSlVS8mzt/xTrKZpvPLKK1x//fUxSc9fcKASgOT42AYsbZEIUa69JaTVjzy6psfR9feNF5LUdR1N1YmqWs0jqhGJ6qiqRkTTUFWdqKahBqLolSHC8Wa0Q9tpUY2AJ4SkyKgRFTWsoYZVtIiGHlHRIxpENKRDDyWqYfRHMUQ0jKqOMapjjur0Vk1YVRMVOw/vWQSoIGncEqzjxrfqe9RSUvV+QjY7tk6QZr+g4EWCof2cNvRdTKbWz/WxWDLo13cmm7fcR0LCcNLTLz1im927n2XX7qcOfSXRLesmevW6j7y8v7Nu3S2sWn0ZuYNfwOHo3BPThRNfs/7qx2KJYW2W3MPdeeed4hZQBzm/5/lYDBZ+v+z33PHZHTx37nPYWpmJtCGhSAiP5Kkr7tgSS5YsoaCggJtuuikmfdpfWpM5Nz0lISbtQdslQlSUQ5Nu1ZYVS5QkCcUgoRhkOnL2l65q6EE/us+H7vMS2b2H8k9NSB1YfkDxlBJtRjHGtqKqIYqK36NLlwtxuU6JWbvp6ZdScvAjdu3+yxEBy759r7Fr91N073YbXbteQ8nBD9m1609UVa0kO/t28vL+xqpVl7Bh412MOKN9CmQKwtGI8psC53Q7h+fHPc/m8s3c8ukthNRQ4zs105biLeiS3qolzePHj0fX9VYvZa51oLwKgKzU1q/sqPXnP/+ZW265hRtvvJGcnByef/55bDYbL7/8cqvalY4ywnK8kRQZ2e5ASe2CoUcvJFvN/CElJXbXoLmMXjfaUfKtzJkzh2HDhuF0OklNTeWiiy5i27ZtR2y3fPlyzjnnHOx2O3FxcYwZM4ZAoOn5ZjQtyqbN0wiHD5KVeV2Lz6UhpaWLqar6HovlyNpAxQfeIzVlEr1734fV2pXs7rdx6ilvArB+wy9ZteoSAFJTm5boTxDakghYBACGpA7h5Qkvs7ViK4+veDzmpes3F28GYGDGwJi22xoVVdVoOmQkx8ekvdpEiIcnSWxKIsSmMNSOsBznActPqWVVABjSm1aMM9Z0TcUcCKHHN7y0/8svv+SOO+5gxYoVLF68mEgkwvjx4/H5fHXbLF++nIkTJzJ+/Hi+//57Vq5cyZ133tnkicmaFmbLlvspK1vCoEHP4HTGbrXS5s2/Y/2GX5KQMJIheUdml45GPZjN9YO1+PjTOO20/zDijM8YPOivDB36Nj17TDtiX0Fob8dHikyhXQxKHsQjIx/hgWUPkG5P5/Yht8es7fyKfBRNoWdq86rotqVqt4ewZIpZnqCWJkJsito+/nTSbSwcXqfpcLfffjuzZs3ikUce4dNPP6WgoICUlBQuuugiZs2ahcvlavWx1Uo/MhEkV8dMeA1XbcOs6SiJDY/a1ZaCqPXqq6+SmprK6tWrGTNmDADTpk3j17/+db1SIk2tZaTrGl8srclLlDPgSVKSz23JaTSorOwLig/UrKbLHfzcEUUMS0o+JBAoICHhyDlQkiRhs2Vjs2XHrD+C0FpihEWo58JeF3J73u3MXzef/d79MWu3wFOAS3fFZLJsrPh9PjTD8ZHPRzbUjLC0xS2hlStXUlxcXPdYvHgxAJdffjlFRUUUFRXx5JNPsnHjRl599VU++eQTbr755pgcW60OoxiqflwG1c4ipT8AoKQMatL21dXVQE0NNahZiPDdd9+RmprKyJEj6dKlC2eddRbLli1rUnt+/24AunX7BenpFze3+8cUCtXkt+qRfVe9EVOfbydbtsxg46ZpdOkyheQYBkmC0JY6z7uH0Glc1Psinlv3HLuqdtHVceR975Y4EDxAiqF1S5pjLRL0YTDFboJxSxMhNoWiyERpm1tCKSn1r8vcuXPp1asXZ511FpIk8d5779W91qtXL2bPns21115LNBptdQCqVkdQrOFWtdEa0bKaW5Xm1FMb3VbTNH7zm98watQoBg2qCXB27doFwMyZM3nyyScZMmQI//jHPzj33HPZuHEjffoce86WptXMF4t3DW3NaTQoI+NyQuFS9ux5hpKDH5KSMhGvdwvl5UsxmVLo03s6mZnXx7T+kCC0JTHCIhwhqkcBMCmmmLVZrpaTbu2YeQpHo0eCmK2xC1gOT4RYqzYR4ogRjS89PhZZrl0l1LZzWMLhMG+88QY33XTTUd/IaquqxmK0LOo3YXDF7uesufSKfCIGGYMjs9Ft77jjDjZu3Mhbb71V95ym1azauu2227jxxhs55ZRTeOqpp+jXr1+TJlo7HANwOHIoOfhxy0/iKCRJoWePuzht6LvEOfM4UPwfwqFScgb8H6NGfkm3bjcjy+Izq3D8ED+twhEiagQAYyuSVh0uGA7ikTx0c7VPzaKmUtQgthhnuW2rRIiKoeazRVtPum2sTlNZWRmzZs3i1ltvjc0BJYlgiYnKp19DMsrIZgXJbESyGJEth5LL2SzIVhuS3U7EZEBJcGF0uJDl+nMy1GA51YtuQ5INSNYEJEsSsjUZxZaKbE/DYO+K4uiKZLJDbTBWXUjYaqWxn/Q777yTDz/8kK+++orMzB+Dm/RDk4VzcupPlB0wYAAFBQVNOH0Jg2JHP/QhoS3ExeUycOCf2qx9QWgvImARjlD7yVrTW5bz46e2FW8DCXon9Y5Je7EQCEcw6xHi42KbNK6tEiEq7bRK6Fh1mtxuN5MnTyYnJ4eZM2fG5Hj2/iqBfJVwuRldNaJpRnTdjI6FHweAVcADeNB0jY8KX8QXrcYoq5gVHZMBTEYZk+YlxeRmTNpuJB2OdqNDlSWiJgNRkxlHwI8v+egjf7quc9ddd7FgwQKWLl1Kjx496r2enZ1NRkbGEUudt2/fzqRJkxo9f1UN4fasp1fKbxvdVhBOdiJgEY7gNNXUHKkOVcekvS0lWwAYkN66Ks2xVFBSiSxBUkLrV7r8VFskQlTaIQ/Lseo0eTweJk6ciNPpZMGCBRiNsRl9c177MxqqcKNHI+h+D7rXg+71ovl9FK0oxLAnhVFj80B2E/b7CAX8hANBQsEQRaU6+6vsjHl2FUgQCZQQ9e5H9Rej+g+i+Q+i+UvBVwaBCmR/FZGgB2nINUft3x133MGbb77JBx98gNPp5MCBAwC4XC6sViuSJPG73/2ORx55hLy8PIYMGcJrr73G1q1beffdd4957qoaYvPm36LrUZKTz2nNt1EQTgoiYBGOkGRJItWWypeFX3Ju99avINhZvhNFU+jdpfOMsNRluU2OXZbbtmRQ2v6W0NHqNLndbiZMmIDZbGbhwoVYLC0vXtlUksGIFJcIcT8mlAuuqcKmawy88bfIhiMz4/5n3i0Etu5HVmr+rBntXTHaWzdpfP78+QCMHTu23vOvvPJK3W2z3/zmNwSDQaZNm0ZFRQV5eXksXryYXr16NdhmKFRKaemnFO5/nUCggEGDnsFm69HgtoIg/EgELMIRJEnipkE38Yfv/8Cg5EFc1veyVhVGLHAfWtKsdJ4ft5KymtGjrC7HR8BSV/ywjeKVo9VpcrvdjB8/Hr/fzxtvvIHb7cbtdgM1q4sUpf1S6keqAoR0rcFgBcBbXoU1PrbL1JuaQHH69On18rA0pLz8S7Zue5hgsBBJUkhIGMnAgfNwOvrHoquCcMLrPO8gQqfys34/Y1fVLmatmMW/tv6L3JRcspxZdI/rTp/4PmQ5s1Dkpr1ZFQeLSTa0vpBbLJVVVaPrkJ4U39FdaRKldl4RbROxHK1O05o1a/juu+8A6N27/gjZ7t27yc7ObpP+NET3qESUoy+B9lcFSOzWcSn+jyYYLGbb9pmUlS0hIWEEvXvdR0LCCEymztdXQejMRMAiNEiRFR4a8RATe0zkne3vsLViK4v3LMYT8QBgUSz0ju9Nv8R+nJ52OqMzRxNnangCa5lWxjDnsAZfC4VClJSUsGXLFiwWC0OHDsUR45U7DXG73YQlY6dKZHcsity2k25r6zT91NixY2NepqGl5KCEZjn6RPBgtUZccucKjDUtwtp1NxKJVDNo4NOkpk4WeU8EoYWOj7/WQocZljaMYWk1wYau61QEK9hRtYNtFdvYXrmd9WXreW/Hj4nF7j3tXkZ3HU1PV08kScIX8uGVvGS7slFVldLSUgoLC+seZWVl9Y63dOlScnJyGDlyJF27xiZpXUN8x1GWWzh85VYHd6QDmVULobiGl//6PaWoIZkD+Vv5/K2HsTpcWB3xWB0JWB2J2OJSsMWlYbElxKwUQ1NUV6/B59vB0KFvt0lyOEE4mYiARWgySZJIsiaRZE3ijPQz6p4/4DvAv7b+i5c3vsyTq57kyVVP4jQ6cZld+CI+kCB/dT5zv59LJBJBkiS6dOlCdnY2o0aNIi0tDYfDgdfrZd++fSxevJhNmzahKApnnHEGiYmJJCYmkpSUhNPpjMkn1HDQj9FkbXU77a2zjHa0NzUUwSLZURMbviWkGEw40qC6UGdt/mp07Sg/I5KOYtIYNH4I466d04Y9rmEw1Iw6VlWtIs6Zixyj3EaCcDISAYvQamn2NKYNnca0odPwR/ysK13HpvJNeMIe3EE3pUWljO03lrSUNDIzM8nIyMBkOjK7qdPpJD09nVNOOYUPPviA6upqNm3aRHV1dd0btd1uJycnhxEjRtTVc2kJPRzAHC/mELSWrupES/1Ein0gS1j6JyKbYz8Rt2DRKoyShLVLw8vQzVYXtz39IVAzgTgScuNzH8TvPojfU0bAW0nAW0XQ52bdh8upKjkQ8z42xOHoT0bGleTn/x/Fxe8yeNBfcTgaLrQoCMKxiYBFiCmb0caIjBGMyGh5Knqj0chll11W93U0GqWyspKKigr27NnDhg0bWLduHdddd129rKPNoahBbPa2nysTc51g/oPqDeP/oZTg9grCez3oYbXuNcmkkPLLXEwZrf/ebpz9PpIXdIOOElYwSglknj2k0f1kWcZsjcdsjSexy5HBwdqF52NxOIiEA20+yiZJEgP6P0Fm15+zafM0Nm2+h9OH/VfMYxGEFhC1hIROz2AwkJKSQr9+/ZgwYQJ33XUXycnJfPTRRy1qLxCOYtYjuGKc5bY9dNTbnK7rhArcVLy1leI531P9yW6QJJznZJFyay4ZM0eQescQDIlmKt7a2urjqaEILnfNCJgOaIpGVXIlirl1t1TUaBg1KrHt89385eeXs/7r11rd16ZwOgeQ3f12vN4tVFR81S7HFIQTjRhhEY47ZrOZM844g//85z94PB6czoZypR5dYWkViqSTlCAClsPpqoZnaSHBHZWo7jCySUZJsKC4zIT3eYjs96IkWnBNzMY+tAuyrX7wYMpy4jynGxVvbkX1hlEcLS9q6NlXgiRJOM7KoPvE01t7anUUg4nLZ95PweZlfPfWt4T8npi13RhNq5l/s3bdTZx7Tn67HVcQThRihEU4LvXq1QtFUXj//fcpLS1t1r5FZVUApCbGx75jbUhDb9M7QlXv5+P+vAAlzoQ1JwlTtgs0nfAeN4rDSNINA0m79zScZ2YeEazU9dETBkVCtrTus5B3X83qMVtm7Jcpd+s3hsz+NZPGXSlZMW//aLp0mdJuxxKEE5EYYRGOS3a7nSuvvJIPP/yQv/71r8THx5OWlkZ2djaDBg06Zi6XsooqANJakTTOHYywq9RHYaUfoyKTnWSnT6oDWW6biKJ20nFbxSv+DWX4Vh4g/pLeOE4/ejHAxoQLvRjT7UiG1n0WChRXY0UmLrt1RSOPpqp0DwAJXXq2SfsNURQz/fs9ztZtDxIOl2Eyda6cMYLQ2YmARThu9e3bl1//+tds3bqVoqIiioqKWLx4MV9++SW/+MUvSEpKanC/yuqa1PJdU5uelr+oKsCqvZWs3F3Bd7vL2V7iPWKb7kk2rhuRzc/P6I6plW/YP1WbfyXWkzW1UBTf9yVUf7Iba24y9mFprWovtNeNdUDrV19Fyn1IqozZYW/WfnPnzmXGjBncfffdzJs3D4DbbruNJUuWUFRUhMPhYOTIkVx2bjagE5/SvvWtoqoXSTIhSWJ5syA0lwhYhOOawWBg0KBBDBo0CACv18sLL7zAt99+y5QpDQ/Bu90ewrqC3dJw4jhd11m+q5z/riui0hdhfWEVRdVBAHok2xneI5HbxvSiX5qTrAQbUU1jS7GH99YU8sRHW3h75T6eu/ZUeqXEbhVSLPOv6BGNcKGHwIYyfKtL0CMq9mFpxF/Yq1UBka7rqO7QUW8XNaRs6x6ivgCy2YhsNqCYjSgWE2pJkNBRagYdzcqVK3nhhRfIzc2t9/zQoUO55ppr6NatGxUVFcycOZPfznyZ3507hu8//gtmqwOT1YnZ7sRsdWGxxdc87ImYLHExSzSn6zqFhf+kS+r5GI2xrxIuCCc6EbAIJxSHw0FOTg5btmxB1/UG34B9fh9hueFgxReK8qt/ruGr7aX0SLaTZDcxaXA6w7ITGdo9gRRnw/uN7mNmdJ9kbjmzJ3f9aw3nP/01o3onc2q3eAZnxpNoM5GZYCXeZmxRUFA7wtKat85oWYDK93cS2lMNUR3ZbsQxMgP78HQMMSgaKEkStsEpuL8owNTdiaX3sUewPPtLCbxS0OD3I4EU3P39TT621+vlmmuu4W9/+xuPP/54vdduvfXWuv9nZ2fz+OOPk5eXR4Xfz4o3v26kZR3ZqCMpYHXJXP3oCzgTWpqBWScUKsbh6NfC/QXh5CYCFuGE07dvX7777juKiooaTO8fDvjRj5KW/9kvdrJydwV/u+40xg1IbXZwkZMRxwd3juYfy/ewPL+c+Uvz8R2Wp8SkyCQ7TGQm2shKsNGni4NRvZIZnHnsT9w6ek3ZwxYOgISLvJS9tBHZasA1qQfmbFfNXJMYz7lJuLQPqjtE5bs7SPvtUCTj0UdJfPvLkCSJYK6GLSMRLRJFC6voYRVdgr7nD2/yce+44w4mT57MuHHjjghY6h3T5+OVV16hR48ePLpgERIRgr4qgv6Kmn8D1YR8bsIBD6GAj3DQSyTgp2B9PpUFAXzu0hYHLJIkk5R0FgdLP6V791sb30EQhHpEwCKccLKzs4mPj+fdd98lJyeH1NRUHA4HDoeDhIQEIuEQiqHhJbefbznIlLx0zstp+WRPh9nA7WN7c/vY3oSjGqXeEOXeEIWVAUo9IUrcQfZVBthZ6uXjjcXM/XgruZkubhiZzYV5GRiUI8dRau8ISS2MWKo/3o1sM5DyyzwUe9vNn5AMMvEX9qLkqTUEd1RhzWl4HhFAqMqHAiSd1pOEvi1frfPWW2+xZs0aVq5cedRtnnvuOe677z58Ph/9+vVj8eLFh7ItmzCa7I0GIcs/fJJvX19KfHL3FvcTIClxDNt3PIbfvwebLbtVbQnCyUYELMIJR1EUrr76apYuXcr69evxeH7MtWE0GrFEIlRauxJRNYyHBQcHPUG2lXi4dUzsVo6YDDJd4610jbeSmxl/xOtRVePL7aX8Y/le7nl7HU9/toN7zuvL1CH130DrApYWxCvR8gCh/Crip/Zu02ClliHVBkBgY9kxAxYOjTyFqn0tPta+ffu4++67Wbx4MRaL5ajbXXPNNZx33nkUFxfz5JNPcsUVV/DNN98cc5/D+arKkQ0aFnvTJ2o3JC3tYvYWvMju3c8wcOCfWtWWIJxsRMAinJBSU1O54oorAAiHw3i9XrxeL1u2bGH5yjVsdRs47fEljBvQhfEDu2A2yLy0bDcuq5FzB6S2Wz8Nisy5A7pw7oAubNxfzbwlO7j7rbV4Q1GuGf7jp3ntsGXNoT3VRMuDmLo6MHSxHfO2leoNU/76ZhSXGdsp7XNedf1pJLrKGJPLnq+WEvqojLRh/Vt0rNWrV3Pw4EFOPfXUuudUVeWrr77i2WefJRQKoSgKLpcLl8tFnz59OOOMM0hISGDBggVcddVVTTqOv7oSo61FXazHYLCT1mUq+4v+ha6rSFLs6y4JwolKBCzCCc9kMtVVfO7WrRvjx49nU5GbRZsO8PHGA7y3phCALnFm/nhZLvG2lmdobY1BXV38/frT+PW/fuClZbvrBSw6oCDRbVUZpavK6p5XEsxYc5Iw94xH1zTU6jB6MAqShBaI4ltVgiRDym25yKb2e3M0ptmRDMcOWIxxVqJ9JOJ2JlK6Pp+U3F7NPs65557Lhg0b6j1344030r9/f+6//34U5chz1nW9ptRAKNTk4/jdXkz22Hz/kpLOYs/e53B7NuKKy4tJm4JwMhABi3DSkSSJQV1dDOrq4rfj+1FQXrMaJSvR2imK0o3qncTCdUUUVQXIiLei6zrvrtpHPFH6dYun5/k9MWY4CO9xE9hcjn99Gd5vigCQjDKSRamJcCQJ+6mpOM/JalWa/JYwdLERLmr8Vk/vq8ey69HP8PxrA0kDeyA3MH/nWJxOZ92S9lp2u52kpCQGDRrErl27+Pe//8348eNJSUmhsLCQuXPnYrVaOf/885t8nKDHj9nR+pVU8GOKflnqmMBYEI5XImARTnrdkmIw1h9D43PSmLdkB1P/+g2XDc1kb7mPjzYc4Orh3Zh84cC6eTeWvglY+iYQf2EvNF8ESZGQrIZOEXRZByRS8dY2Igd8GNOOnvzNaLdgGpOEfVmEnW8upe/Pz4lpPywWC19//TXz5s2jsrKSLl26MGbMGL799ltSU5t+iyzkDZPQ9dgJ8VTVT2npEvz+3ewteJ6MjJ/RNeNn2Gy9kGUDuq7j8W4if9eTmE1dxPJmQWgmSY9lRqoO4na7cblcVFdXE3ccVuAVhJ86UB3kyU+3sXTbQRRZ4vfnDzhiIm5npkc1Sp5ajWQ1kHzDwCNGeHz7yin6YgPhndU4QnEokoHKpAoG/25qB/X42J65+XwSujk5ZcJFGExWjEYLRrMNo8mGwWRDkyvZnn8/oVAxJlMK4fCP9a0kSUFRnKiqB11XsVq6MXDgU7hcQzruhAShk2jO+7cIWARBaBPhQg9lr2wEJFyTexAiQNm3O2B/FJvuQNVV3FI5UncLXcYMIGVg+9X1aa6/3nY+wapj364a9guJ00b9BZutBwCRSDVe7xZ8vp1Eo14MBicWa1cSE0Yjy2JwWxBABCwd3R1BEA5RPWGqFuYT2FAzUTgQ9VAhl+LMSyfznDzi0tumuGGshQLVeCoLiYQDRMJ+oqEA0UiASCjAJ/P+CcC0NxcgK6JGkCA0R3Pev0WYLwhCm1GcJpKuGUD5hj18/vILFBTVrOixVcWjfaGhRSNIsozRYkWWFVypXRgy/nx6DxuB3MAKn45itrowWxvORrzy3a/p2j9HBCuC0MZEwCIIQptLGpzN5U/NIej1snvtKqpKipFlBcVoRFNVIqEgWjTK/m1b+O9Tc7G54gG4/sm/YovrvIUCdV0n6PVgdXbePgrCiaJZawjnz59Pbm4ucXFxxMXFMWLECD7++OO61w8cOMDPf/5z0tLSsNvtnHrqqbz33nvHbHPmzJlIklTv0b9/y5JICYLQuVkcDgaMHsuIS69i+MVXcNoFF3P61MsYdcW1nHn1Dfzs0T9w7Zx5KAYj/uoqXr/vLqLhcEd3+6g85WX4qipJ69Wno7siCCe8ZgUsmZmZzJ07l9WrV7Nq1SrOOeccpk6dyqZNmwC47rrr2LZtGwsXLmTDhg1ccsklXHHFFfzwww/HbHfgwIEUFxfXPZYtW9byMxIE4bjWpWdvbn3uFS6d8SgBr4el//gbnXWq3aYvl6AYDGT0G9DRXRGEE16zApYpU6Zw/vnn06dPH/r27cvs2bNxOBysWLECgG+//Za77rqL008/nZ49e/Lggw8SHx/P6tWrj9muwWAgLS2t7pGcnNzyMxIE4YSQPWQo59xwG+sWf8zyd//V0d1p0PYV39B/9NhOfdtKEE4UzUsreRhVVXnrrbfw+XyMGDECgJEjR/Lvf/+biooKNE3jrbfeIhgMMnbs2GO2tWPHDjIyMujZsyfXXHMNBQUFx9w+FArhdrvrPQRBOPHkjpvI6KuuZ/m7b7Lsrdc73UhL0OvBmZTS0d0QhJNCsyfdbtiwgREjRhAMBnE4HCxYsICcnBwA3n77ba688kqSkpIwGAzYbDYWLFhA7969j9re8OHDefXVV+nXrx/FxcU8+uijnHnmmWzcuBGn09ngPnPmzOHRRx9tbtcFQTgODb/ocmRZ5qt/vkJ54V7GXvcLXKlpHd0t1GiUcMCPwShWBwlCe2h2HpZwOExBQQHV1dW8++67/P3vf+fLL78kJyeHu+66i++//54nnniC5ORk3n//fZ566im+/vprBg8e3KT2q6qq6N69O3/+85+5+eabG9wmFArVK1zmdrvJysoSeVgE4QS2/btv+Oyl+fjd1XQfPITccRPpfdoZHbb8+YdFH/LFKy/y8//7CyndsjukD4JwvGvXxHHjxo2jV69e3HffffTu3ZuNGzcycODAeq/37t2b559/vsltDhs2jHHjxjFnzpwmbS8SxwnCySESDLJtxTLWf/YJxdu3kpiRyaUPPEZcctPrAsXKvx+djslq4+L7Hm73YwvCiaI5798tnsNSS9M0QqEQfn9NxVtZrt+koihomtbk9rxeL/n5+aSnp7e2a4IgnGCMFguDxo7j6llPcu2ceURCIZb8/bl274e7rJT9WzfTY8hp7X5sQThZNStgmTFjBl999RV79uxhw4YNzJgxg6VLl3LNNdfQv39/evfuzW233cb3339Pfn4+f/rTn1i8eDEXXXRRXRvnnnsuzz77bN3X9957L19++SV79uzh22+/5eKLL0ZRFK666qqYnaQgCCeeLj17M/ziK9izbg0hv6/djhsOBvj0hb9gc8UzYPRZ7XZcQTjZNWvS7cGDB7nuuusoLi7G5XKRm5vLokWLOO+88wD46KOPmD59OlOmTMHr9dK7d29ee+01zj///Lo28vPzKSsrq/u6sLCQq666ivLyclJSUhg9ejQrVqwgJUXMvBcE4diyBg5G1zQO7NxB99whrWpL13XK9+2lYOM6fNVVZPQdgBaN4quqxFddia+qksri/ZTsykdTo1x038OYbfbYnIggCI0SxQ8FQThu6ZrGc7dcw6Czz+Osa29q1r7RcJiyfXs5uCeffZs2sG/TenxVlSgGA2a7A391FQCyomCLT8DuSsCVkkpqz970HzkGV+rxUbhREDozUfxQEISTgiTLDBw7jrWL/scpEy845uTbSDhE0dYtFGxcS8Gm9ZTs2omuaUiSTGqPXuScdS7dBw0ho/8ADEYT7tKDmKxWLHYHktzq6X6CILSSGGERBOG45ikv4/XpdyNJErnnTiC5WzYmixVZMeCrqqCyeD9F27ewf9sW1EgEmyuerIG5ZOUMIrVHL5KzumM0Wzr6NAThpNSuy5o7AxGwCMLJzVdVyTf/fp1ty5cRDvjrvWZzxZPWuy/dBubRbXAeyVndkSSpg3oqCMLhRMAiCMJJSdd1Qn4fkWAQNRrF7orHaBGjJ4LQWYk5LIIgnJQkScJid2CxOzq6K4IgxJiYSSYIgiAIQqcnAhZBEARBEDo9EbAIgiAIgtDpiYBFEARBEIROTwQsgiAIgiB0eiJgEQRBEASh0xMBiyAIgiAInZ4IWARBEARB6PREwCIIgiAIQqcnAhZBEARBEDo9EbAIgiAIgtDpiYBFEARBEIROTwQsgiAIgiB0eidEtWZd14GaMtWCIAiCIBwfat+3a9/Hj+WECFg8Hg8AWVlZHdwTQRAEQRCay+Px4HK5jrmNpDclrOnkNE2jqKgIp9OJJEm43W6ysrLYt28fcXFxHd09oQHiGnV+4hp1fuIadW7i+jRO13U8Hg8ZGRnI8rFnqZwQIyyyLJOZmXnE83FxceKHpJMT16jzE9eo8xPXqHMT1+fYGhtZqSUm3QqCIAiC0OmJgEUQBEEQhE7vhAxYzGYzjzzyCGazuaO7IhyFuEadn7hGnZ+4Rp2buD6xdUJMuhUEQRAE4cR2Qo6wCIIgCIJwYhEBiyAIgiAInZ4IWARBEARB6PREwCIIgiAIQqd3wgUs27dvZ+rUqSQnJxMXF8fo0aP54osv6m0jSdIRj7feequDenzyaco1qlVeXk5mZiaSJFFVVdW+HT2JNXaNysvLmThxIhkZGZjNZrKysrjzzjtFPa920tj1WbduHVdddRVZWVlYrVYGDBjA008/3YE9Pvk05e/cr3/9a4YOHYrZbGbIkCEd09HjyAkXsFxwwQVEo1E+//xzVq9eTV5eHhdccAEHDhyot90rr7xCcXFx3eOiiy7qmA6fhJp6jQBuvvlmcnNzO6CXJ7fGrpEsy0ydOpWFCxeyfft2Xn31VZYsWcIvf/nLDu75yaGx67N69WpSU1N544032LRpEw888AAzZszg2Wef7eCenzya+nfupptu4sorr+ygXh5n9BNIaWmpDuhfffVV3XNut1sH9MWLF9c9B+gLFizogB4KTb1Guq7rzz33nH7WWWfpn332mQ7olZWV7dzbk1NzrtHhnn76aT0zM7M9unhSa+n1uf322/Wzzz67Pbp40mvuNXrkkUf0vLy8duzh8emEGmFJSkqiX79+/OMf/8Dn8xGNRnnhhRdITU1l6NCh9ba94447SE5O5vTTT+fll19uUmlrofWaeo02b97MY489xj/+8Y9GC2IJsdWc36NaRUVF/Oc//+Gss85q596efFpyfQCqq6tJTExsx56evFp6jYRGdHTEFGv79u3Thw4dqkuSpCuKoqenp+tr1qypt81jjz2mL1u2TF+zZo0+d+5c3Ww2608//XQH9fjk09g1CgaDem5urv7666/ruq7rX3zxhRhhaWdN+T3SdV3/2c9+plutVh3Qp0yZogcCgQ7o7cmnqden1jfffKMbDAZ90aJF7djLk1tzrpEYYWma4+Kj6/Tp0xucKHv4Y+vWrei6zh133EFqaipff/0133//PRdddBFTpkyhuLi4rr2HHnqIUaNGccopp3D//fdz33338cc//rEDz/D4F8trNGPGDAYMGMC1117bwWd1Yon17xHAU089xZo1a/jggw/Iz8/nnnvu6aCzO/61xfUB2LhxI1OnTuWRRx5h/PjxHXBmJ462ukZC0xwXqflLS0spLy8/5jY9e/bk66+/Zvz48VRWVtYr5d2nTx9uvvlmpk+f3uC+//vf/7jgggsIBoOi5kMLxfIaDRkyhA0bNiBJEgC6rqNpGoqi8MADD/Doo4+26bmcqNr692jZsmWceeaZFBUVkZ6eHtO+nwza4vps3ryZs88+m1/84hfMnj27zfp+smir36GZM2fy/vvvs3bt2rbo9gnD0NEdaIqUlBRSUlIa3c7v9wMcMedBlmU0TTvqfmvXriUhIUEEK60Qy2v03nvvEQgE6l5buXIlN910E19//TW9evWKYa9PLm39e1T7WigUakUvT16xvj6bNm3inHPO4frrrxfBSoy09e+QcGzHRcDSVCNGjCAhIYHrr7+ehx9+GKvVyt/+9jd2797N5MmTAfjvf/9LSUkJZ5xxBhaLhcWLF/PEE09w7733dnDvTw5NuUY/DUrKysoAGDBgAPHx8e3d5ZNOU67RRx99RElJCcOGDcPhcLBp0yZ+97vfMWrUKLKzszv2BE5wTbk+Gzdu5JxzzmHChAncc889dUtpFUVp0huu0DpNuUYAO3fuxOv1cuDAAQKBQN0IS05ODiaTqYN634l13PSZtrFy5Up9/PjxemJiou50OvUzzjhD/+ijj+pe//jjj/UhQ4boDodDt9vtel5env7888/rqqp2YK9PLo1do58Sk27bX2PX6PPPP9dHjBihu1wu3WKx6H369NHvv/9+cY3aSWPX55FHHtGBIx7du3fvuE6fZJryd+6ss85q8Drt3r27YzrdyR0Xc1gEQRAEQTi5HRerhARBEARBOLmJgEUQBEEQhE5PBCyCIAiCIHR6ImARBEEQBKHTEwGLIAiCIAidnghYBEEQBEHo9ETAIgiCIAhCpycCFkEQBEEQOj0RsAiCIAiC0OmJgEUQBEEQhE5PBCyCIAiCIHR6ImARBEEQBKHT+38oM3RSE3/2pwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We appear to have some populated islands.  Separate out the main state geom in next block.\n",
      "we will scale longitudinal distance by 0.76347\n"
     ]
    }
   ],
   "source": [
    "print(\"I will now preserve the original county unit lists and geoms, then rebuild as needed\")\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "trueCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "for c in range(nCounties):\n",
    "    trueCountyTractList[c] = countyTractList[c].copy()\n",
    "    if isAlteredCounty[c]:\n",
    "        print(\"removing coastal units from countyNo\",c)\n",
    "        countyTractList[c] = list()\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in trueCountyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                countyTractList[c].append(t)\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            print(\"Uh oh! county\",c,\"didn't have any usable tracts\")\n",
    "MAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    plotPoly(countyGeom[c])\n",
    "    plotCenter(c,countyGeom[c])\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "origPopMAP = MAP   #origPopMAP is the map after eliminating coastal unpopulated tracts, with original islands\n",
    "print(\"Here is the revised state county map after eliminating coastal tracts\")\n",
    "plt.show()\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    print(\"Excellent!  We have no populated islands.  SKIP the below code block.\")\n",
    "else:\n",
    "    print(\"We appear to have some populated islands.  Separate out the main state geom in next block.\")\n",
    "LAT = MAP.centroid.y\n",
    "xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "print(\"we will scale longitudinal distance by\",r5(xScale))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "dbc5333c-67fc-4eaa-94a3-d78003e5f167",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\n",
      "unit 3739 is a true island.  We will move it to adjoin the mainland in same county.\n",
      "unit 3759 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 3068 has island pieces.  We will reduce the tract to its main state component\n",
      "unit 3097 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 1006 is a true island.  We will move it to adjoin the mainland in same county.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#RUN THIS ONLY IF WE FOUND POPULATED ISLANDS\n",
    "nSubGeoms = len(MAP.geoms)\n",
    "subGeoms = [MAP.geoms[n] for n in range(nSubGeoms)]\n",
    "subAreas = [subGeoms[n].area for n in range(nSubGeoms)]\n",
    "mainSubGeomNo = subAreas.index(np.max(subAreas))\n",
    "mainGeom = subGeoms[mainSubGeomNo]\n",
    "nonMainGeom = dummyPoly\n",
    "for geo in subGeoms:  #the \"nonMainGeom is all pieces of the state not in the biggest piece\n",
    "    if geo != mainGeom:\n",
    "        if nonMainGeom == dummyPoly:\n",
    "            nonMainGeom = geo\n",
    "        else:\n",
    "            nonMainGeom = nonMainGeom.union(geo)\n",
    "        \n",
    "print(\"Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\")\n",
    "hasIsland, isIsland = [False for c in range(nCounties)], [False for c in range(nCounties)]\n",
    "isIsland =  [False for t in range(nTracts)]\n",
    "islandXshift, islandYshift = [0. for t in range(nTracts)], [0. for t in range(nTracts)]\n",
    "islandList = list()\n",
    "for c in range(nCounties):\n",
    "    if countyGeom[c].intersects(nonMainGeom):  #this county contains an island.  Find all its island tracts\n",
    "        hasIsland[c] = True\n",
    "        if countyGeom[c].disjoint(mainGeom):  #need to connect the whole county\n",
    "            print(\"county\",c,\"is completely disconnected from mainland.  Move it to adjoin mainland\")\n",
    "            isIsland[c] = True\n",
    "            countyDist = [999999. for cc in range(nCounties)]  #default, to avoid picking island counties as closest to this one\n",
    "            for cc in range(nCounties):\n",
    "                if countyGeom[cc].intersects(mainGeom):\n",
    "                    countyDist[cc] = countyGeom[c].distance(countyGeom[cc].intersection(mainGeom) )\n",
    "            closestCounty = countyDist.index(np.min(countyDist))\n",
    "            p1, p2 = nearest_points(countyGeom[closestCounty],countyGeom[c])\n",
    "            for t in countyTractList[c]:\n",
    "                islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "            for t in countyTractList[c]:\n",
    "                plotPoly(tractGeom[t])\n",
    "                plotCenter(t,tractGeom[t])\n",
    "                plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                tractCP[t] = tractGeom[t].centroid\n",
    "                tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "        else: #move only the county's island tracts to connect with main geom\n",
    "            mainCountyGeom = countyGeom[c].intersection(mainGeom)\n",
    "            plotPoly(mainCountyGeom)\n",
    "            plotCenter(c,mainCountyGeom)\n",
    "            for t in countyTractList[c]:\n",
    "                if tractGeom[t].intersects(nonMainGeom) and t not in skipList:\n",
    "                    if tractGeom[t].intersects(mainCountyGeom):\n",
    "                        print(\"unit\",t,\"has island pieces.  We will reduce the tract to its main state component\")\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "                        tractGeom[t] = tractGeom[t].intersection(mainCountyGeom)\n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                    else:    \n",
    "                        isIsland[t] = True\n",
    "                        print(\"unit\",t,\"is a true island.  We will move it to adjoin the mainland in same county.\")\n",
    "                        islandList.append(t)\n",
    "                        if tractGeom[t].geom_type != dummyPoly.geom_type :  #island tract is multiple geoms.  collapse to its largest isle\n",
    "                            isleGeos = [geo for geo in tractGeom[t].geoms]\n",
    "                            isleAreas = [geo.area for geo in isleGeos]\n",
    "                            biggestIsleNo = isleAreas.index(np.max(isleAreas))\n",
    "                            tractGeom[t] = isleGeos[biggestIsleNo]\n",
    "                            tractCP[t] = tractGeom[t].centroid\n",
    "                        p1, p2 = nearest_points(mainCountyGeom, tractGeom[t])\n",
    "                        islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                        plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                        tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2ad7f54e-0341-4025-b402-adfcf3dc7691",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\n",
      "This would need adjustment for multi-county islands like Michigan UP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing with island triage - RUN ONLY WITH ISLANDS\n",
    "print(\"If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\")\n",
    "print(\"This would need adjustment for multi-county islands like Michigan UP\")\n",
    "for c in range(nCounties):\n",
    "    if hasIsland[c] :  #rebuild the county geom with the translated islands\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in countyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "MAP = countyGeom[0]\n",
    "plotPoly(countyGeom[0])\n",
    "for c in range(1,nCounties):\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "    plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4aebe4ee-ee7b-4bf3-8413-f315556d453e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "computing all county centerpoints, then plot them\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"computing all county centerpoints, then plot them\")\n",
    "countyCP  = list()\n",
    "cutCountyList = list()\n",
    "for c in range(nCounties):\n",
    "    cTL = countyTractList[c]\n",
    "    countyCP.append(getHDcp( [tractCP[v] for v in cTL], [tractPop[v] for v in cTL], [i for i in range(len(cTL) ) ] ) )\n",
    "    if countyCP[c].disjoint(countyGeom[c]):  #possible with weird-shaped county\n",
    "        countyCP[c] = nearest_points(countyGeom[c],countyCP[c])[0]\n",
    "    plotPoly(countyCP[c].buffer(0.03))\n",
    "    plotPoly(countyGeom[c],0.5)\n",
    "plotPoly(MAP)\n",
    "plt.show()   \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "207f3a55-e361-4777-ae46-41fe3d54a4b8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This code block reads in a csv with whole districts to be cut out of the map\n",
      "For OH my input file says to cut out 0 districts out of 15\n",
      "There were no cut districts in OH\n"
     ]
    }
   ],
   "source": [
    "print(\"This code block reads in a csv with whole districts to be cut out of the map\")\n",
    "unclippedMAP = MAP\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "nCutDistricts = nCuts\n",
    "nStops = trimDF[\"nStopLines\"][DFrow]\n",
    "nDistricts = trimDF[\"nDistricts\"][DFrow]\n",
    "stopLines = list()  #the 'stoplines' stop wedge growth that hops across concave map areas (not currently used)\n",
    "cutCountyList = list()\n",
    "allCutLists, allCutPops = list(), list()\n",
    "print(\"For\",STATE,\"my input file says to cut out\",nCuts,\"districts out of\",nDistricts)\n",
    "if nCuts > 0:\n",
    "    cutList = list()\n",
    "    cutXs = ast.literal_eval(trimDF[\"cutXs\"][DFrow])\n",
    "    cutYs = ast.literal_eval(trimDF[\"cutYs\"][DFrow])\n",
    "    cutPoints = [Point(cutXs[i],cutYs[i]) for i in range(len(cutXs)) ]\n",
    "    for cutNo in range(nCuts):\n",
    "        print(\"performing cut no\",cutNo,\"for state\",STATE)  #first two cutPoints must form the cutLine\n",
    "        cutNotDone = True\n",
    "        thisCutPoints = [ cutPoints[int(4*cutNo)],cutPoints[int(4*cutNo+1)],cutPoints[int(4*cutNo+2)],cutPoints[int(4*cutNo+3)]  ]\n",
    "        while cutNotDone:\n",
    "            cutPoly = Polygon([thisCutPoints[0],thisCutPoints[1],thisCutPoints[2],thisCutPoints[3] ])\n",
    "            cutLine = LineString([thisCutPoints[0], thisCutPoints[1] ] )\n",
    "            cutList = list()\n",
    "            cutPop = 0.\n",
    "            for c in range(nCounties):\n",
    "                if cutPoly.intersects(countyGeom[c]):\n",
    "                    if cutPoly.contains(countyGeom[c]):\n",
    "                        cutList = cutList + countyTractList[c]\n",
    "                        cutPop += countyPop[c]\n",
    "                    else:\n",
    "                        for t in countyTractList[c]:\n",
    "                            if cutPoly.contains(tractCP[t]):\n",
    "                                cutList.append(t)\n",
    "                                cutPop += tractPop[t]\n",
    "                            if STATE == \"NC\":\n",
    "                                if t == 1828:\n",
    "                                    print(\"special for NC - include vtd 1828 from county 55 in the cut list for contiguity\")\n",
    "                                    cutList.append(t)\n",
    "                                    cutPop += tractPop[t]\n",
    "            print(\"the total proposed cutPop is\",cutPop,\". Compare to\",int(statePop/nDistricts) )\n",
    "\n",
    "            doIcut = input(\"enter 1 to apply the cut\")\n",
    "            if str(doIcut) == str(1):\n",
    "                cutNotDone = False\n",
    "                allCutLists.append(cutList)\n",
    "                allCutPops.append(cutPop)\n",
    "            else:\n",
    "                print(\"Here is the state and the last proposed cutPoly.\")\n",
    "                plotPoly(cutPoly)\n",
    "                plotPoly(MAP)\n",
    "                plt.show()\n",
    "                print(cutPoly)\n",
    "                oldPts = list(cutPoly.exterior.coords)\n",
    "                newPtXs = ast.literal_eval(input(\"enter alternate [ x0, x1 ] for the first two points\") )\n",
    "                newPtYs = ast.literal_eval(input(\"enter alternate [ y0, y1 ] for the first two points\") )\n",
    "                thisCutPoints = [Point(newPtXs[0],newPtYs[0]), Point(newPtXs[1],newPtYs[1]),oldPts[2], oldPts[3] ]\n",
    "allCutVTDs = list()\n",
    "for L in allCutLists:\n",
    "    for v in L:\n",
    "        allCutVTDs.append(v)\n",
    "if nCutDistricts == 0:\n",
    "    print(\"There were no cut districts in\",STATE)\n",
    "else:\n",
    "    print(\"here are your cut districts\")\n",
    "    plotPoly(MAP)\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        cutGeo = tractGeom[L[0]]\n",
    "        for v in L:\n",
    "            cutGeo=cutGeo.union(tractGeom[v])\n",
    "        plotPoly(cutGeo,2)\n",
    "        plotCenter(i,cutGeo)\n",
    "        plotCenter(allCutPops[i],Point(cutGeo.centroid.x,cutGeo.centroid.y-0.5) )\n",
    "    plt.show()\n",
    "\n",
    "CCBlistString = trimDF[\"CCB counties\"][DFrow]\n",
    "CCBlist = ast.literal_eval(CCBlistString)    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4c915415-6c44-4c43-9826-b565cebed95a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Write the vtd cutlists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Write the vtd cutlists to a file\")\n",
    "cutDistrictNo = list()\n",
    "for v in allCutVTDs:\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        if v in L:\n",
    "            cutDistrictNo.append(i)\n",
    "            break\n",
    "nbrDF = pd.DataFrame( {\"vtdNo\":allCutVTDs,\"cutDistrictNo\":cutDistrictNo} )\n",
    "outname = STATE+\"wholeDistrictCuts.csv\" \n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "nbrDF.to_csv(outpath)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "17721728-e5c0-4787-b430-9d7d94970667",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15 districts\n"
     ]
    }
   ],
   "source": [
    "countyPop = [0. for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    countyPop[countyNo[t]] += tractPop[t]\n",
    "print(nDistricts,\"districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f3073320-8d92-45ba-beb2-fb8c08d7170d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed all whole districts.  Finalize stats before squishing in outcroppings.\n",
      "Of the total statePop 11799448.0 we ignore 0.0 as it is cut out of the map\n",
      "This excluded pop comes from a total of 7 tracts\n",
      "Our final adjusted number of state districts, excluded fixed cut-out is 15 rather than original 15\n",
      "Each district will be drawn to house 786629.867 = 1/ 15 of non-cutout state pop 11799448.0 vs original= 11799448.0\n",
      "Here is a county-level modified map with each county's fraction of a district pop\n",
      "working on county 0\n",
      "working on county 20\n",
      "working on county 40\n",
      "working on county 60\n",
      "working on county 80\n",
      "here is the OH map excluding cut and unpop coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Removed all whole districts.  Finalize stats before squishing in outcroppings.\")\n",
    "trueCountyPop = [countyPop[c] for c in range(nCounties)]\n",
    "trueCountyGeom = countyGeom.copy()\n",
    "countyPop = [0. for c in range(nCounties)]\n",
    "trueStatePop, true_nDistricts = np.sum(trueCountyPop), nDistricts\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "# minTractPop = 4.5  #already defined above\n",
    "populatedTractList = list()\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "statePop, excludedPop = 0., 0.\n",
    "\n",
    "for t in range(nTracts):\n",
    "    trueCountyTractList[countyNo[t]].append(t)\n",
    "    if t in allCutVTDs or t in skipList:  #  or vtdPop[t] < minTractPop:  #need to keep low-pop vtds as VEST may have assigned votes to them\n",
    "        excludedPop += tractPop[t]\n",
    "    else:\n",
    "        populatedTractList.append(t)\n",
    "        countyTractList[countyNo[t]].append(t)\n",
    "        countyPop[countyNo[t]] += tractPop[t]\n",
    "        statePop += tractPop[t]\n",
    "        #tractPop[t] = max(tractPop[t],0.000001)  #avoid possible later div/zero errors for nil-vote vtds\n",
    "print(\"Of the total statePop\",statePop+excludedPop,\"we ignore\",excludedPop,\"as it is cut out of the map\") #,\n",
    "#\"or in sparsely populated areas (<\",minTractPop,\") per geom\")\n",
    "print(\"This excluded pop comes from a total of\",nTracts -len(populatedTractList),\"tracts\")\n",
    "true_nDistricts = nDistricts\n",
    "nDistricts -= nCutDistricts\n",
    "print(\"Our final adjusted number of state districts, excluded fixed cut-out is\",nDistricts,\"rather than original\",true_nDistricts)\n",
    "aDP = statePop/float(nDistricts)\n",
    "print(\"Each district will be drawn to house\",r3(aDP),\"= 1/\",nDistricts,\"of non-cutout state pop\",statePop,\"vs original=\",trueStatePop)\n",
    "print(\"Here is a county-level modified map with each county's fraction of a district pop\")\n",
    "\n",
    "vtdGeom = tractGeom.copy()\n",
    "nVTDs = len(vtdGeom)\n",
    "\n",
    "cutCountyList, uncutCountyList = list(), list()\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"working on county\",c)\n",
    "    if len(countyTractList[c]) == 0:  #no vtds added to county b/c all were in cut lists:\n",
    "        cutCountyList.append(c)\n",
    "    else:\n",
    "        uncutCountyList.append(c)\n",
    "        countyGeom[c] = tractGeom[countyTractList[c][0]]\n",
    "        for t in countyTractList[c]:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "uncutMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "print(\"here is the\",STATE,\"map excluding cut and unpop coastal tracts\")\n",
    "\n",
    "for c in uncutCountyList:\n",
    "    plotPoly(countyGeom[c])\n",
    "    FONTSIZE = 8 #11  #reduce for TX\n",
    "    if countyPop[c] / statePop < 0.02:\n",
    "        FONTSIZE = 5 #7 #reduce for TX\n",
    "        plotCenter(r3(countyPop[c]/aDP),countyGeom[c], FONTSIZE)\n",
    "    else:\n",
    "        plotCenter(round(countyPop[c]/aDP,2),countyGeom[c], FONTSIZE)\n",
    "plotPoly(trueMAP,0.1)\n",
    "for c in cutCountyList:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "    plotCenter(\"cut\",countyGeom[c],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0062ac21-3328-4616-99ed-70c53e62b308",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the map topology before any squish operations.  Plot countyPop/aDP\n",
      "Working on county  0 distances\n",
      "Working on county  20 distances\n",
      "Working on county  40 distances\n",
      "Working on county  60 distances\n",
      "Working on county  80 distances\n",
      "the max LAT-scaled distance between counties is 3.86947\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter user-picked max district diameter (2.5 for OH), or 0 to accept 3.86947  2.5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working on county  0 neighbors\n",
      "Working on county  20 neighbors\n",
      "Working on county  40 neighbors\n",
      "Working on county  60 neighbors\n",
      "Working on county  80 neighbors\n",
      "I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#For corners and outcroppings, we fuse county clusters\n",
    "collapsedCountyList = list()  #VA has independent cities that we will reassign to parent counties\n",
    "print(\"Now finalize the map topology before any squish operations.  Plot countyPop/aDP\")\n",
    "preSquishCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "maxD = 0.\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"distances\")\n",
    "    if c not in cutCountyList:\n",
    "        plotPoly(countyGeom[c],0.2)\n",
    "        plotCenter(r3(countyPop[c]/aDP), countyGeom[c], 7 )\n",
    "        for cc in range(c+1, nCounties):\n",
    "            dist = getLongDist(countyCP[c],countyCP[cc],xScale)\n",
    "            if dist > maxD and cc not in cutCountyList:\n",
    "                maxD = dist\n",
    "                #print(c,cc,maxD)\n",
    "print(\"the max LAT-scaled distance between counties is\",r5(maxD))\n",
    "plotPoly(MAP)\n",
    "plotPoly(MAP.centroid.buffer(0.5*maxD))\n",
    "plt.show()\n",
    "inputD = float( input(\"enter user-picked max district diameter (2.5 for OH), or 0 to accept \"+str(r5(maxD))+\" \") )\n",
    "if inputD > 0:\n",
    "    maxD = inputD\n",
    "neighborCountyList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"neighbors\")\n",
    "    for cc in uncutCountyList:\n",
    "        if cc > c and cc not in cutCountyList:  \n",
    "            if countyGeom[c].intersects(countyGeom[cc]) :\n",
    "                neighborCountyList[c].append(cc)\n",
    "                neighborCountyList[cc].append(c)\n",
    "print(\"I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\")\n",
    "hasFewNeighborCs, has1neighborCs = list(), list()\n",
    "plotPoly(MAP,0.15)\n",
    "for c in uncutCountyList:\n",
    "    if len(neighborCountyList[c]) == 2:\n",
    "        hasFewNeighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.2,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.5)\n",
    "    if len(neighborCountyList[c]) < 2:\n",
    "        has1neighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.1,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "plt.show()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "398fbc6d-3b05-4c1f-87cb-72d11cdd98bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "useCCBlist = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f9b3df93-d821-44ca-b4f4-b65d13baaffb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will use the cutNClip csv list of corner-county bundles\n",
      "Our final pops and fused-county lists are...\n",
      "97574.0 [3]\n",
      "58240.0 [43]\n",
      "37102.0 [85]\n"
     ]
    },
    {
     "data": {
      "image/png": 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++ihmz56NSZMm9aqtYZZhkCDhPw7+BwCg/P7ycJRIUU5SqZAwaWK7dcLng+vUKbgqTvr/zFNdPbXp9UKblQVDTk7E65JlgS8+a4BWr4ZGp4LXLSMpLYFhhQBcnVTx9GlIajX0OTlImDix+xf1IxKkmOphUfr0FgNLECRE9iqhNWvW4OjRo9i1a1ev25qROQN7/2Ev7vnbPbxaKM5JajUM48cD48ff8Jzn0iXYtm2DymhC4sybItYD03DBhkSLDoNGJ+FMWT1G5qVCn9j5VVEUH4QQcOzeA7XZBPPChUqXE1ExlFcUx8ASBLXK/9dgJNLlQw89hL/97W/YsWMHhgwZEpY2jVojxqeMR5OrKSztUezRDh4M7eDB/quOPt4Cy5LFEdmPOVmLo7tq0Gp1Y+jEgdAn8FdOvPM2NqK1tBTGggKok5OVLieiJAkcFB9G/O0RhEj0sAgh8PDDD+O9997D9u3bMWLEiLC1DfjnjuEPCnVHM2AAEqbkwrZ9O8wLFoStXe/ly2g9dAg+tQHDmy4htfA2qBhW4p7jwAEAgGXZMoUr6RscwhJe/A0ShEiMYVmzZg3+8Ic/4P3334fZbEZtbS0AICkpCQkJCb1uXyWpFD/fSP2DNjMTnpoauKuqwjbXRWvpQSTmz4RmwAAInw/WTZtgmjcP6qSksLRP/U/L++/DOGcONAMHKl1Kn1F6sHus4TwsQQjMwxLGHovXXnsNLS0tWLBgAQYNGhRY3nnnnbC0r4KqX8zMS9EhcepUeBv8XfVhae+mGXAePQrAP5bGcuutaCs/Cufx42Fpn/oPT109mv/0ZyRMnxFXYeUadnSHD3tYgnAtJYdzBtlIn67hKSEKVeK0qfDU1cO6ZQv0I0dCP2pUj9tyHj/ebhp1SZJgmjPbf4uBiop2VygJWYa3rg4QAppBg/hXaQzw2WxwHj8B2eGAOjkJyXfeoXRJimFPd/j0qofl+eefhyRJePTRRwPrfv3rX2PBggWwWCyQJAnNzc3dtvPcc89BkqR2y7hx43pTWlipJf+g2/7UYyFB6lf1UnTQZqT7J+uSVLBu2gT3+fMht3HtNWqL5YbnEiZPBgDYtm+HfedO2EtK4Ni9B96GBvjsdjh27YLt00/hPHmyd2+E+pz74kXYtm+Hbft2uE6fhm7EcJjmzkHitGlKl6YY/6BbpauIHT3uYSktLcXrr7+O3Kt3lb2mtbUVS5cuxdKlS1FcXBx0exMnTsQnn3zyZWGa6On8uTbotj8lZZWkggwGFuoZ/cgR0I8cAdfp07Bt+xSqxEQkzpgOqYufS9nlgn3HDugGD4Zp7txOtzPk5HQ+B8zYsQAA68cfw2e1wjhzJuTWVjS8+kuk/+taSGrO3xJt2srL4W1ohHbI4LAO3I4FEofdhlWPUoHdbsfq1avxxhtv4Cc/+Um75671tmzfvj20QjQaZGZm9qSciLvWRd2fTrGoJBUuWC/gyR1P+oOWAKZnTMc94+5RujTqR67dAsBnd8Cxdx8gZEAICJ8PmtRU+Kw2/5+QQgYkFcwLF3YZaoJlWbwYrWVlsJeUQMgyDOPHMaxcx2e1wltXB5XRCPXAgVDp9X1eg7exEa0Hy5AwJTfQc0bt+e8lROHSo98sa9aswYoVK1BUVHRDYOmp06dPIysrCwaDAQUFBVi/fj2GDh3a4bYulwsulyvw2Gq1hqWGzgSuEupHPRZzh8zFOes51LfWQ5IklNaW4tjlYwws1CNqkxGmuXMCj4XXC9luh8pigaSKzNj9xOnTA9/btm6NyD76AyEEbB99BKhUgWCisligzcyE3NoKV+lBwOeF7HBAyAKa1FQkTJsKlU4XkXp8NhtaS0uhNpthWbokIvuIFRKAKw43Xt12+upwB0Al+ftdVFcfS4HH/u9VEoCrXyVc/dpuu+va6WB9d/V0+XwXGzg9yt9UN+TAsnHjRhw6dAilYbqaAADy8/Px1ltvIScnBzU1NVi3bh3mzp2Lo0ePwmw237D9+vXrsW7durDtvzsqhP8qoUgrHFqIwqGFgcf/efA/sb1qu2L1UGyRNJo+mfTLe/kyWg8cgK4XA4D7G+HxwHn8OHxX7y8GANrs7E6nrb82OFoIAUmSILe2ou3gQQifD9c+oiStBtohQ6AdNCjQUyW73fBUVcFTXXO1h6zzTytJo4HwePzf6/QwLVgQsaAaSyZkWfCXw9V4c/c5CACyEBDC/xVXv16/XsB/HMV1z0XLx850hxt55r7vybteSIGlqqoKjzzyCLZs2QJDGG9Mtey6SYRyc3ORn5+PYcOG4Y9//CMefPDBG7YvLi7G2rVrA4+tViuywzR/REeunRLqz4NYJUj9agwOEQB4amqhGzkShqtjW2KRcLvRduwYZJvNv0KthmHCBCQMGBBSO9d+T6kSE2G8+eYb9uG+eAmOffsA2f97TNJqoR2SDePNBd2ebhNuN6DV8gquEN0xbQjumNb7GcyFEJDFdV9xNeB8JfR03UZ3O+n6aeceI9LnK/uHQ0iBpaysDPX19Zh23ahvn8+HHTt24NVXX4XL5YI6DOeZk5OTMXbsWJw5c6bD5/V6PfR9eM62L+7WHHGcIpr6oYRJE9F2+DCcx4/DMGGC0uX0mnC7UfPcOuiGZn/5ftRqJEyaFNFJ9SSdLjCQuqevJ+VIkgS1BCg5d65ar1Y8sIYUWAoLC1Fe3v7uvw888ADGjRuHJ598MixhBfAP6q2srMQ3v/nNsLTXW/3xKqGvYg8L9VcJeXlwnjiB1tJSJN50k9Ll9Jj74iW07t+P5DtWQT9uHNQmk9IlEfUrIQUWs9mMSZMmtVtnNBoxcODAwPra2lrU1tYGekfKy8thNpsxdOhQpKSkAPAHn1WrVuGhhx4CADz++ONYuXIlhg0bhurqajz77LNQq9W49957e/0Gw8E/qKl/z2viv805Awv1T4bx4+G5dAnWzR/BtGhhxAaURoKzogKeixehzcqK6wnUiHor7JOdbNiwod2A2Hnz5gEA3nzzTXzrW98CAFRWVqKxsTGwzcWLF3Hvvffi8uXLSEtLw5w5c7Bv3z6kpaWFu7yek/p5YJHYw0L9m3bwYGjS02EvKYE2eygMOdE7rkUIgbbDh+G7cgX6MWNgLizs/kVE1CVJxMCf3VarFUlJSWhpaYGlg9k1w+Ebz06EyM/D/xnzfwB8eXpICIFr/117fP36a9te//iG5zt5rtvnxXXtX51r5frH1z9fWluK+tZ6bL5zc3j/YYgU4KqshOv0aZgLCyFptRHf37UrcDy1tfBduQLh9ULS6fyLVgtJpYKnrg6yoxWQffA2XoZp4QJorvYqE/V39p272k1tEC6hfH5Hz3SyUS4jMQMfNxzBkYYjHT4vQQoMSJKu/ndtfNS1x+2ev27w0rXH18bKXHtt4PFXnuvJayVImJE5I1z/HESK0o8aBV12Nuw7dwKQYFowPyKX2brPnYPr7FnIjlaokyzQpKdDk54euMxXdrkBrwey2w392ByoTcaw10AUHZTv22BgCdJzNz+Hn8+eDeC6EMBL/IgUI+l0MC9aBJ/dDntJCQBAm5UF/dixvfrZlNva0HrwIITHC93w4TAvXBiukomoFxhYgiRBBbWKU4MTRRu1yRQIFZ7qati3boXKaIRu5EhoMzKCbsddVQXX6dNQGQww5ufzUl6iKMPAQkQxQ5uVBW1WFmSnE67KSjjLy6EyW5AwNe+GK4uELMN16hQ8tbUAAN3gwTAvWqRE2UQUBAYWIoo5KoPBP5X9xInw2R1oKyvzTy0vSfDPouifil4/ZgwM48YpXS5RP6D8EAgGFiKKaWqTEcaCAqXLIOrnlB90y7tXERERUdRjYCEiIqKox8BCRERE3VB+DAsDCxEREUU9BhYiIiLqBgfdEhEREXWLgYWIiIiiHgMLERERdYODbomIiIi6xcBCRERE3eCgWyIiIqJuMbAQERFR1GNgISIiom5w0C0RERFRtxhYiIiIqBscdEtERETULQYWIiIiinoMLERERNQNDrolIiIi6hYDCxEREXWDg26JiIiIusXAQkRERN3gGBYiIiKibjGwEBERUTc4hoWIiIioWwwsREREFPUYWIiIiKgbHHRLRERE1C0GFiIiIuoGB90SERERdatXgeX555+HJEl49NFHA+t+/etfY8GCBbBYLJAkCc3NzUG19ctf/hLDhw+HwWBAfn4+Dhw40JvSiIiIKIb0OLCUlpbi9ddfR25ubrv1ra2tWLp0Kf793/896LbeeecdrF27Fs8++ywOHTqEKVOmYMmSJaivr+9peURERBQ2/XTQrd1ux+rVq/HGG29gwIAB7Z579NFH8dRTT2HWrFlBt/fiiy/iO9/5Dh544AFMmDABGzZsQGJiIn7zm9/0pDwiIiKKMT0KLGvWrMGKFStQVFTU6wLcbjfKysrataVSqVBUVIS9e/d2+BqXywWr1dpuISIiokjph4NuN27ciEOHDmH9+vVhKaCxsRE+nw8ZGRnt1mdkZKC2trbD16xfvx5JSUmBJTs7Oyy1EBERUXQKKbBUVVXhkUcewe9//3sYDIZI1dSt4uJitLS0BJaqqirFaiEiIqLI04SycVlZGerr6zFt2rTAOp/Phx07duDVV1+Fy+WCWq0OqYDU1FSo1WrU1dW1W19XV4fMzMwOX6PX66HX60PaDxEREfVUPxt0W1hYiPLychw+fDiwzJgxA6tXr8bhw4dDDisAoNPpMH36dGzdujWwTpZlbN26FQUFBSG3R0RERLEnpB4Ws9mMSZMmtVtnNBoxcODAwPra2lrU1tbizJkzAIDy8nKYzWYMHToUKSkpAPzBZ9WqVXjooYcAAGvXrsX999+PGTNmYObMmXjppZfgcDjwwAMP9PoNEhERUW8pP+g2pMASjA0bNmDdunWBx/PmzQMAvPnmm/jWt74FAKisrERjY2Ngm3vuuQcNDQ145plnUFtbi7y8PGzevPmGgbhKE0JAkpTvFiMiIoo3khBC+djUS1arFUlJSWhpaYHFYonIPuy7dsM4+2YGFiIiijv2nbtgmjsn7O2G8vnNewmFov9nOyIion6JgSVYEhhYiIiIFMLAEiRJkhhYiIgoTin/+cfAEiwGFiIiIsUwsASLgYWIiOKW8hecMLAETYqCDjEiIqL4xMASLPawEBERKYaBJVjK94YREREpRPk/2BlYQsEeFiIiIkUwsISCs9wSEVFcUv7zj4GFiIiIoh4DCxEREUU9BpZgcfgKERHFLeU/BBlYQsExLERERIpgYCEiIqJuKP8HOwMLERERRT0GFiIiIop6DCzB4qRxREREimFgCYHyZ/CIiIjiEwMLERERRT0GFiIiIop6DCxB4xgWIiIipTCwhIITxxERESmCgYWIiIiiHgMLERERRT0GFiIiIop6DCzB4sRxREREitEoXUC/wkG3REQUR1xffAFPVRXkNqfSpTCwEBERxSPh88F1phLe+joIjxcJU/OgGTAAQgi07tsH2eWCbvBgmObPV7pUAAwsREREccexdy9klwuGceNgyBnrDykHSuF0tkF4PEi86Saok5KULrMdBhYiIqI4IYSAfetWJEyZAk1aWmC9JEkw5s9UsLLuMbAEi4NuiYioH/NeuYLWfftgvPlmqJOTlS4nZAwsoeCgWyIi6qdaDxyAedkySP30s4yXNRMREcUB94UqCJdL6TJ6jIGFiIgoDgz89gNw7NkL19mzSpfSIwwsQRIcw0JERP2YpNHAvGghPNXV8NTVKV1OyHoVWJ5//nlIkoRHH300sM7pdGLNmjUYOHAgTCYT7rzzTtR18w/zrW99C5IktVuWLl3am9LCTwBQMd8REVH/Zpo9G66TJ+E6fVrpUkLS40/g0tJSvP7668jNzW23/rHHHsMHH3yAd999FyUlJaiursYdd9zRbXtLly5FTU1NYPl//+//9bS0yBCi3w5UIiIiup5p/ny4z5+HkGWlSwlajwKL3W7H6tWr8cYbb2DAgAGB9S0tLfjv//5vvPjii1i0aBGmT5+ON998E3v27MG+ffu6bFOv1yMzMzOwXN8uERERhVfCtGlwHj2qdBlB61FgWbNmDVasWIGioqJ268vKyuDxeNqtHzduHIYOHYq9e/d22eb27duRnp6OnJwcfP/738fly5c73dblcsFqtbZbiIiIKHialBR4u/isjTYhz8OyceNGHDp0CKWlpTc8V1tbC51Oh+SvTEiTkZGB2traTttcunQp7rjjDowYMQKVlZX493//dyxbtgx79+6FWq2+Yfv169dj3bp1oZZORERE1/HWN8BTVw9tRrrSpXQrpMBSVVWFRx55BFu2bIHBYAhbEV//+tcD30+ePBm5ubkYNWoUtm/fjsLCwhu2Ly4uxtq1awOPrVYrsrOzw1YPERFRPEi++y7Yt20DfOOhzcpSupwuhXRKqKysDPX19Zg2bRo0Gg00Gg1KSkrwyiuvQKPRICMjA263G83Nze1eV1dXh8zMzKD3M3LkSKSmpuLMmTMdPq/X62GxWNotREREFBpJkmAuLETbkXIIr1fpcroUUg9LYWEhysvL26174IEHMG7cODz55JPIzs6GVqvF1q1bceeddwIAKioqcOHCBRQUFAS9n4sXL+Ly5csYNGhQKOURERFRD6iTkyB8Pkia6L1jT0iVmc1mTJo0qd06o9GIgQMHBtY/+OCDWLt2LVJSUmCxWPDwww+joKAAs2bNCrxm3LhxWL9+PVatWgW73Y5169bhzjvvRGZmJiorK/HEE09g9OjRWLJkSRjeIhEREXVGCAFfcwtUer3SpXQp7FHqF7/4BVQqFe688064XC4sWbIEv/rVr9ptU1FRgZaWFgCAWq3GkSNH8Pbbb6O5uRlZWVlYvHgxfvzjH0Mf5f94RERE/Z1j504Y58xWuoxuSSIG5py3Wq1ISkpCS0tLxMaz2HfugmnunIi0TUREpATh9cKxezdM8+crsv9QPr851zwREVGcEi4XVCaT0mUEhYGFiIgoTslOJySdTukygsLAQkREFIfktjbYt5dAPSBF6VKCEr3XLxEREVFEeC9fhmPPHiStvJU9LERERBSd1CkpUCUkwL5rN3z95H58DCxERERxRpIkmIuKYFq4AI69+5QuJygMLERERHFKkiRIep4SIiIioigmu91QcQwLERERRTOVTge5tVXpMoLCwEJERBTHtNlD4Tp7VukyusXAQkREFMcMOWPhPn9e6TK6xcBCREQUx5wnTkA/fLjSZXSLgYWIiChO+ewOeOvroWNgISIiomjVVnYQxrlzlS4jKAwsRERE8UqlgqTqH1Ggf1RJREREYeU+fx7oJ2EF4M0PiYiI4orrzBm4z5+Hdkg2TLNnK11O0BhYiIiI4kTrZ59BbTLBXFiodCkh6z99QURERNRjclsbfC0t0I8Zo3QpPcLAQkREFAdaDx6Eac4cpcvoMQYWIiKieCDLkDT9dyQIA0vQhNIFEBER9YjscildQq8xsARNUroAIiKikMkuF2wffwxjP7oiqCP9t2+IiIiIuuSz2WDfsQOW5cshqdVKl9MrDCxEREQxSMgy7NtLYLl1BSSp/58l4CkhIiKiGGQvKYFp4cKYCCsAAwsREVHMET4fIATUJqPSpYQNAwsREVGMcR47hoSpU5UuI6wYWIiIiGKMcLmg0uuVLiOsGFiIiIhijHbYMLjPnVO6jLBiYAkaJ44jIqL+QTidkHQ6pcsIK17WTEREFCOEzwfH3n2AkGHsx/cN6ggDS9Bi47IwIiKKTXJrK2xbt8FcuAiqxESlywk7BhYiIqIY0PrZZzDfUgSVwaB0KRHBMSxBEILjV4iIKLoZJkyA8/gJpcuIGAaWYPh8kDT9+x4MREQU2zQDBsDX0qx0GRHTq8Dy/PPPQ5IkPProo4F1TqcTa9aswcCBA2EymXDnnXeirq6uy3aEEHjmmWcwaNAgJCQkoKioCKdPn+5NaWElPB5IGp49IyKi6Nbfb3DYlR4HltLSUrz++uvIzc1tt/6xxx7DBx98gHfffRclJSWorq7GHXfc0WVbP//5z/HKK69gw4YN2L9/P4xGI5YsWQKn09nT8sJKeL2QtFqlyyAiIuqUz26P6T+uexRY7HY7Vq9ejTfeeAMDBgwIrG9pacF///d/48UXX8SiRYswffp0vPnmm9izZw/27dvXYVtCCLz00kv4wQ9+gNtuuw25ubn47W9/i+rqavzlL3/p0ZsKN+HxABoGFiIiil7O48dh+EonQizpUWBZs2YNVqxYgaKionbry8rK4PF42q0fN24chg4dir1793bY1tmzZ1FbW9vuNUlJScjPz+/0NS6XC1artd0SScLDHhYiIopuwuWC2mRSuoyICbnvaOPGjTh06BBKS0tveK62thY6nQ7Jycnt1mdkZKC2trbD9q6tz8jICPo169evx7p160ItvceExwNJG7vdbEREFANi/IrWkHpYqqqq8Mgjj+D3v/89DApe511cXIyWlpbAUlVVFdkdejnoloiISEkhBZaysjLU19dj2rRp0Gg00Gg0KCkpwSuvvAKNRoOMjAy43W40Nze3e11dXR0yMzM7bPPa+q9eSdTVa/R6PSwWS7slkvw9LDwlREREUUyK7RnZQwoshYWFKC8vx+HDhwPLjBkzsHr16sD3Wq0WW7duDbymoqICFy5cQEFBQYdtjhgxApmZme1eY7VasX///k5f09eE18seFiIiikpCCLSWlgJSbE+tFtKnsNlsxqRJk9qtMxqNGDhwYGD9gw8+iLVr1yIlJQUWiwUPP/wwCgoKMGvWrMBrxo0bh/Xr12PVqlWBeVx+8pOfYMyYMRgxYgR++MMfIisrC7fffnvv32EY8LJmIiKKVraPPkLizJnQpKQoXUpEhb3b4Be/+AVUKhXuvPNOuFwuLFmyBL/61a/abVNRUYGWlpbA4yeeeAIOhwPf/e530dzcjDlz5mDz5s2KjpO5Hi9rJiKiaKVKTIz5sAIAkoiBG+VYrVYkJSWhpaUlIuNZHPsPIGFqHlQ6XdjbJiIi6g17SQlM8+crXUaPhPL5HdsnvMKEU/MTEVE0ED4fXJWV8NTUfHljXrUGcpTMDB9J/BQOhhCQVMx2RESkLPv27dDnjIPPaoPzxAlIajWEEPA2NkI3ZIjS5UUUAwsREVF/IamgGzIYAGDIGQvh80G22aD+yoStsYjdBkHp98N8iIgoBhgmTYR9567AY0mtjouwAjCwBCm2J+MhIqL+QZueDt3wYWgrL1e6lD7HwEJERNSP6LKz4W1oVLqMPscxLERERP2E+/x5tB05gsRp05Qupc8xsBAREUU5T3U1nMePQzdiBJJWrlS6HEUwsBAREUW5tiNHYFm6VOkyFMUxLERERFFOm5kJb1OT0mUoioGFiIgoymkyM+FtaFC6DEUxsBAREUU5z6VL0GYNVroMRTGwEBERRTH3hQvwNjRCbTIqXYqiGFiIiIiikOxwwLplC3xWGyxLlyhdjuJ4lRAREVGUaf3sM8iOVpgLC3nz3av4r0BERBRFhM8Hb109THNmM6xch/8SREREUURSqwGVBLmtTelSogoDCxERUZQxFxXBvmMnWg8eVLqUqMHAQkREFGUklQqWJYshu1xwnzundDlRgYGFiIgoSplmz4b70iV46uqVLkVxDCxERERRzHjzzXCdPKF0GYrjZc1ERERRyFlxCt7aGgifjMSZM5UuR3EMLERERFGm9eBBqFMGwjR/vtKlRA2eEiIiIooyclsb9CNHKF1GVGFgISIioqjHwEJERBRthFC6gqjDwEJERBRFhNcLSJLSZUQdBpagMOkSEVHfaDtyBAmTJytdRtRhYAkKky4REUWecLvhbWyEOjlZ6VKiDi9rJiIi6mPepia0fXYYkkb95ekfIQC1GqYFCxStLVoxsBAREfURIQRa9+8HAJgWLoDEsSpBY2AhIiLqA+7z5+E8WQFj/kye8ukBBhYiIqIIEh4P7CUl0A4eDMuSxUqX028xsBAREUWIu6oKzmPHYV60EJJOp3Q5/RoDCxERUZh5L19Ga1kZdEOGwLJ0idLlxAQGFiIiojByHj8On9UK8y23cFBtGIU0D8trr72G3NxcWCwWWCwWFBQU4MMPPww8X1lZiVWrViEtLQ0WiwV333036urqumzzueeegyRJ7ZZx48b17N0QEREpRHY4YP34Y0CjgXHWLIaVMAspsAwZMgTPP/88ysrKcPDgQSxatAi33XYbjh07BofDgcWLF0OSJGzbtg27d++G2+3GypUrIctyl+1OnDgRNTU1gWXXrl29elNERER9yVlRgdaDB2EuKoJh7Fily4lJIZ0SWrlyZbvHP/3pT/Haa69h3759uHTpEs6dO4fPPvsMFosFAPD2229jwIAB2LZtG4qKijovQqNBZmZmD8onIiJSjhDCfwXQoCyY5s9XupyY1uOp+X0+HzZu3AiHw4GCggK4XC5IkgS9Xh/YxmAwQKVSddtjcvr0aWRlZWHkyJFYvXo1Lly40OX2LpcLVqu13UJERNSXfHYHrJs2IXH6dBhy2KsSaSEHlvLycphMJuj1enzve9/De++9hwkTJmDWrFkwGo148skn0draCofDgccffxw+nw81NTWdtpefn4+33noLmzdvxmuvvYazZ89i7ty5sNlsnb5m/fr1SEpKCizZ2dmhvg0iIqIec1+4gNbSA7AsXw612ax0OXEh5MCSk5ODw4cPY//+/fj+97+P+++/H8ePH0daWhreffddfPDBBzCZTEhKSkJzczOmTZsGlarz3Sxbtgx33XUXcnNzsWTJEmzatAnNzc344x//2OlriouL0dLSEliqqqpCfRtEREQ94jp9Gt7GyzAvXMiBtX0o5MuadTodRo8eDQCYPn06SktL8fLLL+P111/H4sWLUVlZicbGRmg0GiQnJyMzMxMjR44Muv3k5GSMHTsWZ86c6XQbvV7f7tQTERFRX/A1N8NTXc3xKgro8RiWa2RZhsvlarcuNTUVycnJ2LZtG+rr6/G1r30t6PbsdjsqKysxaNCg3pZGREQUNsLthn33bhjnzVO6lLgUUg9LcXExli1bhqFDh8Jms+EPf/gDtm/fjo8++ggA8Oabb2L8+PFIS0vD3r178cgjj+Cxxx5DTk5OoI3CwkKsWrUKDz30EADg8ccfx8qVKzFs2DBUV1fj2WefhVqtxr333hvGt0lERNRzQghYP94Cy5LFPA2kkJACS319Pe677z7U1NQgKSkJubm5+Oijj3DLLbcAACoqKlBcXIwrV65g+PDhePrpp/HYY4+1a+PaKaNrLl68iHvvvReXL19GWloa5syZg3379iEtLS0Mby9chNIFEBFRHxJuNzw1NfBUV0N4PJBdLpjmz4Ok1SpdWtyShBD9/tPYarUiKSkJLS0tgTlgwsm+cxdMc+eEvV0iIoouwu2GraQEqoRE6LKHQDtoEG9aGEGhfH7zXkJEREQAZJcLto+3wLJ0CXtSohADCxERRS33+fPw1NRCMzAFulGjIHUxTUZvyE4nbFs+gWXZUkgafjRGo8gceSIiol5wV1XB9sknEG43EqZNhcpohH37djgOHEAkRjLYtm6FZfkyhpUoxiNDRERRpfWzzyBJEszX3YNOlZUFbVYWvFeuwLppEyzLl/foah25tRXuCxfgra8HJAnazMzAV0mtDufboDBjYCEioqgghIB9+3boR46EbtiwDrfRpKQgccZNcB47joRJE4NrV5bRdvgwvJcvQzNgALTZQ2EYNw5CCHhraiA8HiROnx7Ot0IRwMBCRESKazt8GN7GRiTOnAl1N1eLaDPS4Tx+DEDXgcVTXw/n0WOQ1CoYcnOROG1au+clSYI2K6u3pVMfYWAJSr+/8puIKOoIWUbrvn2QnS4YJk1EQl5e0K+VtDrILhdUHdymxdvUhLayMqgHDoR50cIwVkxKYmAJCmc1JCIKJ29DA1pLS2GcM6fbHpWOGPNnwrppE8xLlkBlMEAIAc/Fi3CdOgV1UhJMhYWckTbGMLAQEVGf8jY1oa38KCzLl/e4DUmrhWX5crSWlUF4PAAA7eDBMC1axKASoxhYgsJTQkRE4eI8fhym+b2/gaCk1cI4a1YYKqL+gPOwdMN/vT/TOhFR2MgyLyGmkDGwdMfng6TmPxMREZGS+EncDSHLgJpnzoiIiJTEwNIdrxeShl2XRERESmLXQTeEz8dzrUREnfBeuYK2zz+/7h48EgIXKggBSBIgy1AnJcEwYQKEx8M7IVOPMLB0Q3i9AAMLEdEN3OfPw111EeaF3U/O5r182X8Jsizzyh7qEQaWYEg8c0ZE9FWuyi+CnklWM3AgNAUFEa6IYhk/iYmIqEd4BSX1Jf7fRkREPaJKTITPalW6DIoTPCVERERBE243nKdOw3e5EbLbjQSjUemSKE4wsBARUVA8NTVo+/xzJM6YgYRJE5Uuh+IMAwsREQXFeeIELEuXKl0GxSkGFiIi6pKnuhrOkxXQDh6sdCkUxxhYiIioS21HymFZukTpMijO8SohIiLqkqTjzLSkPAaW7gihdAVERIrSpKbCffGi0mVQnOMpoe7IMiSVdMNqIQRa9x+AcLsAIaCyWJCQlwdJunFbIqL+LCE3F81/+hN0Q4YoXQrFMQaW7ggBqNp3RAmvF9YPN8M0by7USUkA/DcAs27aBNOcOYF1REQxg/dUI4XxlFA3xLW7jV577PXC+uGHMC9Z3C6YaFJSYFm+HI69e+FraYloTZ7qajgrTkF4PBHdDxHRNZqBA5UugeIcA0t3hAAgwdvQAPvOXbB9shXmJUug0ulu2FSSJJiXLPGHFrsj7KX4bDZYN22Cz2aHOskCx969aC0rC/t+iIiIog1PCXVDlZiI1gMHIEaMhLFgFiRN1/9k10KL7cMPYcidAt2Q0OYtEELA19gIldkMlcEQWO9raYFj716Yly0LjJPRZmbC9cUXaDt6jLNOElFkybLSFVCck4To/5fBWK1WJCUloaWlBRaLRelyAPiDh+v0aXjr6iB8PkgqFYxz5kBSdd6p5bNaYd+5E/oRI+BraYHsdELSaAEhQ9LpkJif3+GgXvuOHTDNmxfJt0NEccx5/DgAwDBhgsKVUKwJ5fObPSwRIkkSDGPHAmPHAgBkhwO2Tz6BfsQI6MeMCWwnhID73Dl4LlwAJAmW5ct5pRERKcK2fTsklQqSVgvd8OHwNjTAW18P3YgR0I8apXR5FOcYWPqIymiEZfFiuM6ehb2kxH/l0dUBvbphw2CcN6/nQYUBh4jCQFKrYZo7F7LTCfeFC9BmZyMhN1fpsogAMLD0Of2IEdCPGBHmViXILhdUen2Y2yWieCLcbgCAymDw9xATRRFeJRQDjLPyUfODH8Kxbz+8TU283JmIekQ3dCicFRVKl0HUoZACy2uvvYbc3FxYLBZYLBYUFBTgww8/DDxfWVmJVatWIS0tDRaLBXfffTfq6uq6bfeXv/wlhg8fDoPBgPz8fBw4cCD0dxLHJK0Wg1/4OQyTJsFz8SJaDx6EfedO/7JjB+w7dqD10CEGGSLqkn7MGAiXC/aSEgheFURRJqSrhD744AOo1WqMGTMGQgi8/fbbeOGFF/DZZ59h+PDhyM3NxZQpU7Bu3ToAwA9/+ENUV1dj3759UHVydcw777yD++67Dxs2bEB+fj5eeuklvPvuu6ioqEB6enpQdUXjVULRxmezoe3wYQivF6a5c7u9PJuIoo/weNB68CCE1+u/JYjJjISp4b8liOxwwL5zF/Rjx0I/MtynsIm+FMrnd68va05JScELL7yA7OxsLFu2DE1NTYGdtrS0YMCAAfj4449RVFTU4evz8/Nx00034dVXXwUAyLKM7OxsPPzww3jqqaeCqoGBJXiyywX7p58iYeo0aDOCC4REFB1a/vZ3mIsKA3M0eRsb0Vp2CJYliyOyP8f+A9ANHwZtRkZE2icK5fO7x2NYfD4fNm7cCIfDgYKCArhcLkiSBP11Az8NBgNUKhV27drVYRtutxtlZWXtwoxKpUJRURH27t3b6b5dLhesVmu7hYKj0uthWboUbUc+h+wI/2y8RBQZri/OwjBhfLsJJTWpqUjIy0Pb559HZJ/G/JmBOViIlBZyYCkvL4fJZIJer8f3vvc9vPfee5gwYQJmzZoFo9GIJ598Eq2trXA4HHj88cfh8/lQU1PTYVuNjY3w+XzI+Ep6z8jIQG1tbac1rF+/HklJSYElOzs71LcR98yFhXDs26d0GUQUBOH1wnXyBPQjR97wnDYjHZ6aWjgrTsGxZw/sO3fC9cUXYdmvv4dleFjaIuqtkANLTk4ODh8+jP379+P73/8+7r//fhw/fhxpaWl499138cEHH8BkMiEpKQnNzc2YNm1ap+NXeqq4uBgtLS2BpaqqKqztxwNJpeI4FqIoJzscsJeUwL5rF0yLFnW6nXHObKiTk5A4c6Z/jJpaDeumTejNGX/Z5QJ83ghMw0DUMyF/Yul0OowePRoAMH36dJSWluLll1/G66+/jsWLF6OyshKNjY3QaDRITk5GZmYmRnbwVwEApKamQq1W33AlUV1dHTIzMzutQa/Xtzv1RD0j6XQQbjekDm7kSETKEW43bCUlUJstMN58MySttsvt1SYT1CZT4LFu2DCoB6bCtmULLIt7Nr7FXVkJXSe/u4mU0OuuD1mW4XK52q1LTU1FcnIytm3bhvr6enzta1/r8LU6nQ7Tp0/H1q1b27W3detWFBQU9LY06oZh0iS0HvpM6TKI6Cvsu3fDPH8+jLPyuw0rnVGbjEiYPLnHd3T3NjRA28UfjkR9LaTAUlxcjB07duDcuXMoLy9HcXExtm/fjtWrVwMA3nzzTezbtw+VlZX43e9+h7vuuguPPfYYcnJyAm0UFhYGrggCgLVr1+KNN97A22+/jRMnTuD73/8+HA4HHnjggTC9ReqM2myGcLvg46BloqjhOnsWmpSUsPR8agcNgtzaCp/NFvJrVWYz3Bcu9LoGonAJ6ZRQfX097rvvPtTU1CApKQm5ubn46KOPcMsttwAAKioqUFxcjCtXrmD48OF4+umn8dhjj7Vr49opo2vuueceNDQ04JlnnkFtbS3y8vKwefPmGwbiUmQY586F7aOPkXjTDGgGDlS6HKK4JrxeuE6f7vFpnI4Y58yB9e+bYFnR8Y1VhccD+44dgVPExtmzoTIYkDhtGlrLyuCz2ZAwcWLY6iHqqV7PwxINOA9L79l37IBu5CjohgxWuhSiuNV66BD0I0dCnZwc1nZ9ViucJ0/COHNmu/XC64V10yaYly6FSqeD8Plg+2Qr9GNGB65Ich4/DiELJExiaKHw65N5WCi2mObNg+fCebjPn1e6FKK45Gtuhq+lJexhBQDaPj8C7aBBN67/7DOYFhVCdfX0k6RW+yehE8J/ddLOnXBfqIJ+zOiw10QUKl7XSgHGm2+G7dNPoU5JgdpsVrocorghPB449uyBedmy8LYrBJp+93tYli/r8JSv7HRClZhww3r9qFHQjxoV1lqIeos9LNSOacEC2LeXQL56m3kiiixPdbX/tExRUdjvCWT76GOYFi7oMKwIISA7WiGFeZ4sokjh/6nUjiRJsCxbCsfOnUqXQhQXnKdOIem22yIyH5Lc1gZtBzeR9dntsG7ahMT8mR28iig68ZQQ3UDSaDiZHFFfkeWINZ20Yjls27dDk5qGhLwp8NbVwXniBFSJRliWLoWkVkds30ThxsBCnQhv1zQRdUyTmgrvlSvQpKSEvW1Jp4Nl8WJ4m5rg2L0b6pQUmLuY4p8omjGwEFH/0dYMSBKgMwGq2OgdkLRaCK83ovvQDBgA09y5Ed0HUaQxsBBR/3DlLPDKVABXp47SmQC9uf2SMQlY8lNFywyVt6EBhvHjlS6DKOoxsFDHROTOqxP1SEMFAAGsfBmQVIDL5l+cVsBlBS4dAqp+Ayz+ib8Xph/wNjVBRHAMC1EsYWChDkl6A3x2e7s7wBIpqqUKUGmBqfcBHV2K++GTgOzpN2HFeeIEvPX1MC9YoHQpRP0CAwt1KPGmGf77j9y6IuxzQxD1SMtFwDKo47ACAM1VQFJ239YUorYjR+BrboaQZehHjYKJp4KIgsbAQh2SVCqYFi6E7aOPoc3MgG70GKhNRqXLonjWchFIGtrF8xeAwTP6rp4QeOrr0fbZYSRMnoSE3FylyyHqlxhYqFNqkxGWpUvgvXIFrlMVkB0O/xNX75epMpuhHzOWQYb6RstFYMDwzp9vrgImruqzcoLlOn0a3qYm/z16iKjHGFioW5qUlA7niPC1tMB14jjk1lYAgDY7O3CH1+74rFY4j5+AcDnbdfELrxcJubkdTiVOca7lIjB8dsfPuWyAsxmoPgwceAMwJH256C1ffq8z9vkYF/elSxynQhQGDCzUY+qkJCTedFPgcVt5OewlJV9+IEgSJJ0eklYDQIJst13XO2NBwpRcqBLa33hNCIG2zw6j5b33YFm2DJpBg3ivEwJ8XsBW3fkYFZUGyJoGnN8DVHzoH3zbEUkNGCzAvH8DCtZErt7reb0QQnAsGFEvMbBQ2CRMnnzDOtnlgvB4ASEHdQdoSZKQOG0qEnInw33+PBx79l69xNr/y15Sq5CQlwdVYmK4y6dodmaL//+D5E7GsGgTgO9+6v9eCMDrBJwt1y1Wfw+MswX49Gf+OV36SOLMmbBv3Qrt4MGcb4WoFxhYKKJUej2g14f8Okmj6fAW97LbjbayMgCAsaAgLDVS6IQQcJ89B0/VhUCPmuxwQDdiBAzjxoVnJx88AjSc8k8IZ6v2rxsxv/vXSZI/wGgTAHPmjc9/sg5IGAD4PIBaG55au6C2WGAuKoLz5Ek4K07BkDM24vskikXsa6d+RaXTwVhQAE1mJpwVp5QuJ+54m5pg27YN9u3bIalVMM6bB9PVxbJsGSStFm3HjvV+Rz4vcOi3gOz1n+4xJAOzHwHUvfwby+cFPA5gx8+BH6cCZz7pfa1BMowbB/e5c322P6JYwx4W6pf0I0bAtn07/1oNM+H1wllRAV9zMyS1BtrBWdBmZMD1xRfwVFdDnZwM08KFnY7H0I8aBfuOHb0vxFbjPwW04ElgdFHv27tGrQG+twu4VAa8vwZw2cPXdhAaX98A46x8qJOS+nS/RLGAgYX6LUmrhbexEZrUVKVLiQk+qxX2HTthzJ8JQ04OhM8HT3U1Wg8dgnZIdvB3+Q3H4NKWi/6vkZgILn08IPv831uywt9+FwbcfTdcp061G6xORMFhYKF+yzR7NlrLytB2pBySXgf9iBH+q4p4NUaPOHbvhmXF8sC/n6TRQD9iBPQjRgTdhrepCWqLpffFXAsslsG9b6sjthr/V/OgyLTfiQFf/7r/SjoiChkDC/VridOnA/CfynB98QWcJSVQW5KQOG1qRPYnO51wHj3qn3vm+mAky1CZzUjIy+t3l2ELIWD75BMkzpzZ67DnOnkSCVePSa+0XPCPW9H37F5WO3bswAsvvICysjLU1NTgvffew+233/7lBtZqAFLHg3IjSMgyb3ZI1EMMLBQTJI0GhrFjYRg7Fo59+yA7HFAZezcDr+xwQG5rg7OiAvD5TyFIOj0MkyZ1OLuvr7kZtq1boRs2DIax0T+2Rm5rQ2tpKYTXB2N+flh6RoTHA5VOF/wLGs8Abhug1vlvbKjW+r8/v9d/6qaHHA4HpkyZgm9/+9u44447btzAVgNAAOX/659MTmcEdKYbv9cmhHWiubbDh5E4NTJhmijWMbBQzEmYOhVthw71+LJnT00NnMePQ22xQEpIhHHmTEja7i9/VScnw3LLLXBWVMC6ZQsMOTnQZmZCCuUDPMLc587BfeECIASkq1dcBfPegmWYPBm2bduCG+9iqwNenQFAdPz88v/ocR3Lli3DsmXLOt/AlO7/+pfvddOS5A8vao1/Dphv/gVIvHHW52DJNhtUHHBL1CMMLBRzVHo9ZJerR6+V3W60HSnv1X1fDDk50I8dC/fZc2gtK4Pwem/YRj0gBbphQ4OaTC9cWg8ehMpohGnevIjtQzNgAAwTJqD1s8+670m41stxx38BKSP886L43P5ZagWAEZGrEzO+7V+8bsBtB9yO6xb7jd+f/DtwYY9/4rleBBb92LFwVVSEb64aojjCwEIxSTMwFW2ffw7DpEmQ1OqgX+c8cgTG2Z3cryYEkiRBP3IE9CNvHLAqhICvqQmu02cg220QPh+0mZkRnQXVXVUFVWJin8y0qs3MhPPkye43bGvyf82eCQwYFtmiOqPRAZqU7kOIKcMfWK71zPSQdtAgOI8fZ2Ah6gEGFopJCZMnwVNX75/a/yunHBLz8zsdZ+Gz2yN+92lJkm64oaTn0iXYtm6FJi0NCbm5Yd+n6/QZmBctDHu7nRFtbUFsdPXSYmczAIUCS7Ac9YA20T+upZfUSUnwNjVBM2BAGAojih8MLBSztBnp0Ga0/4tYdrn8A009HkhqNRJycwOTeHmbmsI6niMU2sGDoR08GJ7aWrT8/e/+WWPDdLWR68wZaDJ61zMQqqAGPA+fB1iGAHt/BdzxeuSL6g1HA2BMC0tTCVOnwrFnL0xz54SlPaJ4wcBCcUWl18N09ZSP8HrRduQIZJsNUKkg6fUw3nyzovVpMzNhnDkTzhMnkDBxYrvnhCyj9UAp5LZWSBoNIMuQ9AYkTM3z37PpK4THA8e+/VAZjRG7zLszksEAua3thrtxt6PRATc/BHz0NDB3LZCW03cFhsre0OvTQddIavWXE9cRUdAYWChuSRoNEqdNU7qMG2jS0tB25AhwXWARsgzrBx/AtGhRu4G6clsb2srKIHw++O9ofd3pL0mFxOnTFLmztX70aLhOn+7+9Nb0B4ADbwB/ewz41t/Ddgmx3W7HmTNnAo/Pnj2Lw4cPIyUlBUOHdnLH56446sPWwwIgrJdKE8ULBhaiKKQbPhz2nTthnD0b3vp6tB4sQ2JBwQ1XFakSEhTvFeqIJiUFbYc/735DrQFYuh74w93A4d8DU78Rlv0fPHgQCxd+OWZn7dq1AID7778fb731VugNOhqAzMlBby6E6HQSPveFC+GZDZgozjCwEEUh/ahR0AwcCMfu3VBbLEi6dYXSJYVMOzgLrspK6EeNuvHJtibg1MfAyb8BZ7b619WfCNu+FyxYACE6md+lJ+wNgMsGnN0BaAz+ye00BkCj9y96M9pOnYe3sQGSRgPXqdPQDs7y924FgosE4fVAk5qGhLy88NVGFCckEdafamVYrVYkJSWhpaUFFv7lQhQ1Wg8dgq+5BaaFCyBZLwEnN/lDyvndgOwFBs8Axq0Axt0KpEXx7MCvTAWufNHhU0IA9mo9dP/8Z+inciAtUShC+fxmDwsRRUzitGnw1NfD/uunoTr8BhLT3ZAyJgLL/i+Qs7zP75bcY9/fA7ReAXwuwOsCvE7/pHNeJ+w/uxs6iwf6KdF3ao4oljCwEFFEadPTob3rO/DZNsNecRGoOQOp4v8C8np/L4tK5T+9olJBk5YFw8o1/h4XdRT9etImAEkd3zlalZYN7U0F/vdBRBETRb8RiChmpYyA+vFDMLc1Aac/AZrOAtLVoCJ7/dPfyx54ju6G7Rf/BHWyBQnpgLRmL2BMVbr6zgkB0WqFZAnjFURE1KGQ/iR47bXXkJubC4vFAovFgoKCAnz44YeB52tra/HNb34TmZmZMBqNmDZtGv70pz912eZzzz0HSZLaLeM4bTVRbEoYAOTeBcx/Apj3uH8eljmPAoueBoqeg/bRLTD/6CPokrWwVVjh/vkcwONUuurOWS8Bbc2QhkxXuhKimBdSYBkyZAief/55lJWV4eDBg1i0aBFuu+02HDt2DABw3333oaKiAn/9619RXl6OO+64A3fffTc+++yzLtudOHEiampqAsuuXbt6/o6IqH/LyoPmB8dhKf49XLU2yH/9N//I1igkyn4HIWmA7HylSyGKeSEFlpUrV2L58uUYM2YMxo4di5/+9KcwmUzYt28fAGDPnj14+OGHMXPmTIwcORI/+MEPkJycjLKysi7b1Wg0yMzMDCypqVHcBUxEfWN0EUwP/hi2D96F2PozpavpUOuWP8FY+LXoPm1FFCN6PErM5/Nh48aNcDgcKCgoAADcfPPNeOedd3DlyhXIsoyNGzfC6XRiwYIFXbZ1+vRpZGVlYeTIkVi9ejUuXLjQ5fYulwtWq7XdQkSxR5r5bVjufxzW3/1/kDc/F3U9LaLNDlVaD2bOJaKQhTzotry8HAUFBXA6nTCZTHjvvfcwYcIEAMAf//hH3HPPPRg4cCA0Gg0SExPx3nvvYfTo0Z22l5+fj7feegs5OTmoqanBunXrMHfuXBw9ehTmr8zqec369euxbt26UEsnon5IWvg4LGo1rG8+D+PF49Dc+XNgwHClywJ8HsDT6p84jogiLuSJ49xuNy5cuICWlhb87//+L/7rv/4LJSUlmDBhAh5++GEcOHAAP/vZz5Camoq//OUv+MUvfoGdO3di8uTgprVubm7GsGHD8OKLL+LBBx/scBuXywWXyxV4bLVakZ2dzYnjiGLZ8ffR+l+Pw2ezQj95BnRF3wVyVih2+bPY/2vY3ngGlp9uBTImdv8CIrpBKBPH9Xqm26KiIowaNQpPPPEERo8ejaNHj2LidTdtKyoqwujRo7Fhw4ag27zppptQVFSE9evXB7U9Z7olihNuB3DsL3BufgOeyhPQDhkMw6PvA8nZfV6K8+e3QG02Q/v9P/f5voliRSif372e6UiWZbhcLrS2tvob/MrkSWq1GrIsB92e3W5HZWUlBg0a1NvSiCjW6IzA1NUwFG+H+UebIZxOeP7wUN/X0XIRnjPl0M5Y3vf7JopTIQWW4uJi7NixA+fOnUN5eTmKi4uxfft2rF69GuPGjcPo0aPxT//0Tzhw4AAqKyvxn//5n9iyZQtuv/32QBuFhYV49dVXA48ff/xxlJSU4Ny5c9izZw9WrVoFtVqNe++9N2xvkohiUNZUJPyfx+H6fD/gbOm7/brs8PzPP0FtSQIm39V3+yWKcyGd/K2vr8d9992HmpoaJCUlITc3Fx999BFuueUWAMCmTZvw1FNPYeXKlbDb7Rg9ejTefvttLF/+5V8hlZWVaGxsDDy+ePEi7r33Xly+fBlpaWmYM2cO9u3bh7Q0zhxJRN0YPheADFw6BIxa2Lu2hPDfMfpsCYS1DtKwWYDPDdjrAHs95MuX4K48Bc+F05CEF6bH/wcwJIXlbRBR93i3ZiLqv2QZ9kdHw7j0XkjLfxraaz1OoP44UHsE3mOfwnloL9DaDKHSQNIZ/b02EgBJDSQkQ2UZAG32UGhzZgKT7gQGDIvIWyKKJ7xbMxHFB5UKiYvvhuNvb8N08/e6HnzraQMu7IM48ymcB7bBd/EMABmABHXWaBiX3gNpzCJg6Cz/PY6aLwB6M2BI5o0NiaIAe1iIqH9ruYS2H8+HzyvBuOKbkAZN8gcNlQaw10E0nIb78E54zhwDZA+QkATDtFnQTFgADMoD0scDukSl3wVRXOrTy5qjAQMLUZyz1cH34XNo2/GhfzK36xmSocuZBN3UImDkfCB9AiBJytRJRO3wlBARxRdzBtR3vwbTXcI/9sTt8A+YNaX7L4Umon6PgYWIYockAQnJ/oWIYgpHkhEREVHUY2AhIiKiqMfAQkRERFGPgYWIiIiiHgMLERERRT0GFiIiIop6DCxEREQU9RhYiIiIKOoxsBAREVHUY2AhIiKiqMfAQkRERFGPgYWIiIiiHgMLERERRb2YuFuzEAIAYLVaFa6EiIiIgnXtc/va53hXYiKw2Gw2AEB2drbClRAREVGobDYbkpKSutxGEsHEmignyzKqq6thNpshSRKsViuys7NRVVUFi8WidHnUAR6j6MdjFP14jKIbj0/3hBCw2WzIysqCStX1KJWY6GFRqVQYMmTIDestFgv/J4lyPEbRj8co+vEYRTcen65117NyDQfdEhERUdRjYCEiIqKoF5OBRa/X49lnn4Ver1e6FOoEj1H04zGKfjxG0Y3HJ7xiYtAtERERxbaY7GEhIiKi2MLAQkRERFGPgYWIiIiiHgMLERERRb2YCyynTp3CbbfdhtTUVFgsFsyZMweffvppu20kSbph2bhxo0IVx59gjtE1ly9fxpAhQyBJEpqbm/u20DjW3TG6fPkyli5diqysLOj1emRnZ+Ohhx7i/bz6SHfH5/PPP8e9996L7OxsJCQkYPz48Xj55ZcVrDj+BPN77l/+5V8wffp06PV65OXlKVNoPxJzgeXWW2+F1+vFtm3bUFZWhilTpuDWW29FbW1tu+3efPNN1NTUBJbbb79dmYLjULDHCAAefPBB5ObmKlBlfOvuGKlUKtx2223461//ilOnTuGtt97CJ598gu9973sKVx4fujs+ZWVlSE9Px+9+9zscO3YMTz/9NIqLi/Hqq68qXHn8CPb33Le//W3cc889ClXZz4gY0tDQIACIHTt2BNZZrVYBQGzZsiWwDoB47733FKiQgj1GQgjxq1/9SsyfP19s3bpVABBNTU19XG18CuUYXe/ll18WQ4YM6YsS41pPj88///M/i4ULF/ZFiXEv1GP07LPPiilTpvRhhf1TTPWwDBw4EDk5Ofjtb38Lh8MBr9eL119/Henp6Zg+fXq7bdesWYPU1FTMnDkTv/nNb4K6tTX1XrDH6Pjx4/jRj36E3/72t93eEIvCK5Sfo2uqq6vx5z//GfPnz+/jauNPT44PALS0tCAlJaUPK41fPT1G1A2lE1O4VVVVienTpwtJkoRarRaDBg0Shw4darfNj370I7Fr1y5x6NAh8fzzzwu9Xi9efvllhSqOP90dI6fTKXJzc8X//M//CCGE+PTTT9nD0seC+TkSQoivf/3rIiEhQQAQK1euFG1tbQpUG3+CPT7X7N69W2g0GvHRRx/1YZXxLZRjxB6W4PSLP12feuqpDgfKXr+cPHkSQgisWbMG6enp2LlzJw4cOIDbb78dK1euRE1NTaC9H/7wh5g9ezamTp2KJ598Ek888QReeOEFBd9h/xfOY1RcXIzx48fjG9/4hsLvKraE++cIAH7xi1/g0KFDeP/991FZWYm1a9cq9O76v0gcHwA4evQobrvtNjz77LNYvHixAu8sdkTqGFFw+sXU/A0NDbh8+XKX24wcORI7d+7E4sWL0dTU1O5W3mPGjMGDDz6Ip556qsPX/v3vf8ett94Kp9PJez70UDiPUV5eHsrLyyFJEgBACAFZlqFWq/H0009j3bp1EX0vsSrSP0e7du3C3LlzUV1djUGDBoW19ngQieNz/PhxLFy4EP/4j/+In/70pxGrPV5E6mfoueeew1/+8hccPnw4EmXHDI3SBQQjLS0NaWlp3W7X2toKADeMeVCpVJBludPXHT58GAMGDGBY6YVwHqM//elPaGtrCzxXWlqKb3/729i5cydGjRoVxqrjS6R/jq4953K5elFl/Ar38Tl27BgWLVqE+++/n2ElTCL9M0Rd6xeBJVgFBQUYMGAA7r//fjzzzDNISEjAG2+8gbNnz2LFihUAgA8++AB1dXWYNWsWDAYDtmzZgp/97Gd4/PHHFa4+PgRzjL4aShobGwEA48ePR3Jycl+XHHeCOUabNm1CXV0dbrrpJphMJhw7dgz/9m//htmzZ2P48OHKvoEYF8zxOXr0KBYtWoQlS5Zg7dq1gUtp1Wp1UB+41DvBHCMAOHPmDOx2O2pra9HW1hboYZkwYQJ0Op1C1Ucx5YbPREZpaalYvHixSElJEWazWcyaNUts2rQp8PyHH34o8vLyhMlkEkajUUyZMkVs2LBB+Hw+BauOL90do6/ioNu+190x2rZtmygoKBBJSUnCYDCIMWPGiCeffJLHqI90d3yeffZZAeCGZdiwYcoVHWeC+T03f/78Do/T2bNnlSk6yvWLMSxEREQU3/rFVUJEREQU3xhYiIiIKOoxsBAREVHUY2AhIiKiqMfAQkRERFGPgYWIiIiiHgMLERERRT0GFiIiIop6DCxEREQU9RhYiIiIKOoxsBAREVHUY2AhIiKiqPf/A9NDCKuuNrujAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aDP = float(statePop)/nDistricts  #this block modified from VRA-HD-MO\n",
    "if useCCBlist:\n",
    "    print(\"We will use the cutNClip csv list of corner-county bundles\")\n",
    "    nCCBs = len(CCBlist)\n",
    "    CCBpop, CCBgeom = [0.]*nCCBs, [countyGeom[L[0]] for L in CCBlist]\n",
    "    for i, L in enumerate(CCBlist):\n",
    "        for cc in L:\n",
    "            CCBpop[i] += countyPop[cc]\n",
    "            CCBgeom[i] = CCBgeom[i].union(countyGeom[cc])\n",
    "    passThruList, rejectList = list(), list()\n",
    "else:\n",
    "    maxCCBratio = 1./4.  #adjustable max fraction of district pop for corner county blocks.  Let's try 3/16\n",
    "    maxCCBpop = maxCCBratio * aDP\n",
    "    print(\"continuing from above, develop corner county blocks from each low-pop corner county until it hits\",r3(maxCCBratio),\"of\",int(aDP) )\n",
    "    CCBlist, CCBpop, passThruList = list(), list(), list()  #\"waiveThru\" counties get chance to join a cluster even if high pop\n",
    "    nFuses = 0\n",
    "    for c in set(has1neighborCs).difference(set(collapsedCountyList)):\n",
    "        print(\"checking if county\",c,\"with pop\",countyPop[c],\"and only 1 neighbor is less pop than\",int(maxCCBpop),\"vs districtPop\",int(aDP) )\n",
    "        if countyPop[c] > maxCCBpop:\n",
    "            plotPoly(countyGeom[c])\n",
    "            plotCenter(c,countyGeom[c])\n",
    "            nc = neighborCountyList[c][0]\n",
    "            plotPoly(countyGeom[nc],0.5)\n",
    "            plotPoly(MAP,0.2)\n",
    "            print(\"county\",c,\"has pop\",countyPop[c],\"and its only neighbor has pop\",countyPop[nc],\"vs districtPop\",aDP,\". Default = keep un-fused\")\n",
    "            print(\"enter 0 to keep\",c,\"as an unfused collection of units, 1 to fuse as one unit and stop, 2 to force-add at least the next closest county\")\n",
    "            fuseChoice = input(\"0, 1, or 2.  Any other input taken as a zero\")\n",
    "            if fuseChoice == 0:\n",
    "                keepUnfused = True\n",
    "                break\n",
    "            elif int(fuseChoice) == 1:\n",
    "                CCBlist.append([c])\n",
    "                CCBpop.append(countyPop[c])  \n",
    "                hasFewNeighborCs.append(c)  #this adds this [c] to the final list of fused units, but will fail to find more in below\n",
    "            elif int(fuseChoice) == 2:\n",
    "                CCBlist.append([c,nc ] )\n",
    "                CCBpop.append(countyPop[c] + countyPop[nc])\n",
    "                hasFewNeighborCs.append(c)\n",
    "                passThruList.append(c)   #pass on thru to the below 2neighbor logic even if too high-pop to qualify\n",
    "        else:\n",
    "            hasFewNeighborCs.append(c)  #normal case; we'll handle in next, more general, for loop            \n",
    "            \n",
    "    for c in set(hasFewNeighborCs).difference(set(collapsedCountyList)):\n",
    "        print(\"checking if county\",c,\"with pop\",countyPop[c],\"and 1 or 2 neighbors is less pop than\",int(maxCCBpop) )\n",
    "        if countyPop[c] < maxCCBpop :\n",
    "            CCBlist.append([c])\n",
    "            CCBpop.append(countyPop[c])\n",
    "            CCBno = CCBlist.index([c])\n",
    "        if c in passThruList:\n",
    "            CCBno = CCBlist.index([c,neighborCountyList[c][0] ])\n",
    "        if countyPop[c] < maxCCBpop or c in passThruList:            \n",
    "            CCBstarter = c\n",
    "            canAdd = True\n",
    "            while canAdd:\n",
    "                nbrSet = set()\n",
    "                for cc in CCBlist[CCBno]:\n",
    "                    nbrSet = ( nbrSet.union(set(neighborCountyList[cc])) ).difference(set(CCBlist[CCBno]))\n",
    "                nPop = [countyPop[cc] for cc in nbrSet]\n",
    "                nDist = [countyGeom[cc].centroid.distance(countyGeom[CCBstarter].centroid) for cc in nbrSet]\n",
    "                idx = np.argsort(nDist)\n",
    "                nbrList, newList = list(nbrSet), list()\n",
    "                for i in range(len(nDist)):  #add counties, closest to starter that will fit until over\n",
    "                    cc = nbrList[idx[i]]\n",
    "                    if CCBpop[CCBno] + countyPop[cc] < maxCCBpop:\n",
    "                        newList.append(cc)\n",
    "                        CCBlist[CCBno].append(cc)\n",
    "                        CCBpop[CCBno] += countyPop[cc]\n",
    "                        #print(\"adding county\",cc,\"with pop\",countyPop[cc],\"to list started by\",CCBstarter,\".Cluster pop now\",CCBpop[CCBno]  )\n",
    "                if newList == list():  #no eligible neighbor counties found; stop\n",
    "                    canAdd = False\n",
    "                    for cc in CCBlist[CCBno]:\n",
    "                        plotPoly(countyGeom[cc])\n",
    "                        plotCenter(CCBno,countyGeom[cc])\n",
    "    plotPoly(MAP,0.2)\n",
    "    plt.show()\n",
    "                        \n",
    "    print(\"Below I plot these again by county no, with faded neighboring counties\")\n",
    "    plotPoly(MAP,0.15)\n",
    "    for L in CCBlist:\n",
    "        print(CCBlist.index(L),\" \",L)\n",
    "        for c in L:\n",
    "            plotPoly(countyGeom[c])\n",
    "            plotCenter(c,countyGeom[c])\n",
    "            for cc in list(set(neighborCountyList[c]).difference(L) ):\n",
    "                plotPoly(countyGeom[cc],0.4)\n",
    "                plotCenter(cc,countyGeom[cc],8)\n",
    "    plt.show()\n",
    "    rejectList = list()\n",
    "    print(\"Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are\",r3(aDP), int(maxCCBpop))\n",
    "    print(\"You may suggest [ [3], [43] , [85] ] \")\n",
    "\n",
    "    for i,L in enumerate(CCBlist):\n",
    "        if L[0] not in passThruList:  #if we forced the fused-counties list above, don't give option here to modify\n",
    "            print(\"let's decide whether to delete, accept, or modify list\",L,\"with pop\",CCBpop[i] )\n",
    "            isOK = input(\"enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list)\")\n",
    "            if not (isOK == 1 or isOK == str(1)) :\n",
    "                if isOK == 0 or isOK == str(0) :\n",
    "                    rejectList.append(L)\n",
    "                else:\n",
    "                    notGood = True\n",
    "                    while notGood:       \n",
    "                        Lnew = ast.literal_eval(isOK)        \n",
    "                        if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                            notGood = False\n",
    "                        else:\n",
    "                            print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                            isOK = input(\"Try again here \")\n",
    "                    print(\"OK, I will replace\",L,\"with\",Lnew)\n",
    "                    CCBpop[i] = np.sum( [countyPop[c] for c in Lnew] )\n",
    "                    CCBlist[i] = Lnew.copy()\n",
    "    for L in rejectList:\n",
    "        del CCBpop[ CCBlist.index(L)]\n",
    "        del CCBlist[CCBlist.index(L)]\n",
    "    stillAdding = True\n",
    "    while stillAdding:\n",
    "        addMore = input(\"enter 1 if you want to manually add another corner-county cluster\")\n",
    "        if int(addMore) != 1:\n",
    "            stillAdding = False\n",
    "        else:\n",
    "            isOK = input(\"Type in a [county list], where the corner county is first in the list.  Or type 0 to stop\")\n",
    "            if isOK == 0 or isOK == str(0) :\n",
    "                print(\"OK, we'll stop adding corner clusters\")\n",
    "                stillAdding = False\n",
    "            else:\n",
    "                notGood = True\n",
    "                while notGood:       \n",
    "                    Lnew = ast.literal_eval(isOK)        \n",
    "                    if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                        notGood = False\n",
    "                        for L in CCBlist:\n",
    "                            if set(L).intersection(set(Lnew)) != set(list()) :\n",
    "                                notGood = True\n",
    "                                print(\"OOPS! The following inputted counties are already in\",L,\":\",set(L).intersection(set(Lnew)) )\n",
    "                                isOK = input(\"Try again here \")\n",
    "                        if notGood == False:\n",
    "                            CCBlist.append(Lnew)\n",
    "                            CCBpop.append( np.sum( [countyPop[c] for c in Lnew] ) )\n",
    "                    else:\n",
    "                        print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                        isOK = input(\"Try again here \")\n",
    "    print(\"Our final pops and fused-county lists are...\")\n",
    "    allFusedCounties = list()\n",
    "    CCBgeom = [dummyPoly for L in CCBlist ]\n",
    "    CCBcp = list()\n",
    "    for i, L in enumerate(CCBlist):\n",
    "        CCBcp.append( getHDcp([countyCP[c] for c in L], [countyPop[c] for c in L], [ j for j in range(len(L)) ] ) )\n",
    "        print(CCBpop[i],L)\n",
    "        pops, CPs = list(), list()\n",
    "        for c in L:\n",
    "            if c == L[0]:\n",
    "                CCBgeom[i] = countyGeom[c]\n",
    "            else:\n",
    "                CCBgeom[i] = CCBgeom[i].union(countyGeom[c])\n",
    "            allFusedCounties.append(c)\n",
    "            pops += countyPop[c]       #  IS THIS EVEN USED?\n",
    "            CPs.append(countyCP[c])   #  IS THIS EVEN USED?\n",
    "            plotPoly(countyGeom[c])\n",
    "            plotCenter(i,countyGeom[c])\n",
    "    plotPoly(MAP,0.2)\n",
    "    plt.show()\n",
    "    \n",
    "    for i,L in enumerate(CCBlist):\n",
    "        if L[0] not in passThruList:  #if we forced the fused-counties list above, don't give option here to modify\n",
    "            print(\"let's decide whether to delete, accept, or modify list\",L,\"with pop\",CCBpop[i] )\n",
    "            isOK = input(\"enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list)\")\n",
    "            if not (isOK == 1 or isOK == str(1)) :\n",
    "                if isOK == 0 or isOK == str(0) :\n",
    "                    rejectList.append(L)\n",
    "                else:\n",
    "                    notGood = True\n",
    "                    while notGood:       \n",
    "                        Lnew = ast.literal_eval(isOK)        \n",
    "                        if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                            notGood = False\n",
    "                        else:\n",
    "                            print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                            isOK = input(\"Try again here \")\n",
    "                    print(\"OK, I will replace\",L,\"with\",Lnew)\n",
    "                    CCBpop[i] = np.sum( [countyPop[c] for c in Lnew] )\n",
    "                    CCBlist[i] = Lnew.copy()\n",
    "    for L in rejectList:\n",
    "        del CCBpop[ CCBlist.index(L)]\n",
    "        del CCBlist[CCBlist.index(L)]\n",
    "    stillAdding = True\n",
    "    while stillAdding:\n",
    "        addMore = input(\"enter 1 if you want to manually add another corner-county cluster\")\n",
    "        if int(addMore) != 1:\n",
    "            stillAdding = False\n",
    "        else:\n",
    "            isOK = input(\"Type in a [county list], where the corner county is first in the list.  Or type 0 to stop\")\n",
    "            if isOK == 0 or isOK == str(0) :\n",
    "                print(\"OK, we'll stop adding corner clusters\")\n",
    "                stillAdding = False\n",
    "            else:\n",
    "                notGood = True\n",
    "                while notGood:       \n",
    "                    Lnew = ast.literal_eval(isOK)        \n",
    "                    if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                        notGood = False\n",
    "                        for L in CCBlist:\n",
    "                            if set(L).intersection(set(Lnew)) != set(list()) :\n",
    "                                notGood = True\n",
    "                                print(\"OOPS! The following inputted counties are already in\",L,\":\",set(L).intersection(set(Lnew)) )\n",
    "                                isOK = input(\"Try again here \")\n",
    "                        if notGood == False:\n",
    "                            CCBlist.append(Lnew)\n",
    "                            CCBpop.append( np.sum( [countyPop[c] for c in Lnew] ) )\n",
    "                    else:\n",
    "                        print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                        isOK = input(\"Try again here \")\n",
    "print(\"Our final pops and fused-county lists are...\")\n",
    "allFusedCounties = list()\n",
    "CCBgeom = [dummyPoly for L in CCBlist ]\n",
    "CCBcp = list()\n",
    "for i, L in enumerate(CCBlist):\n",
    "    CCBcp.append( getHDcp([countyCP[c] for c in L], [countyPop[c] for c in L], [ j for j in range(len(L)) ] ) )\n",
    "    print(CCBpop[i],L)\n",
    "    pops, CPs = list(), list()\n",
    "    for c in L:\n",
    "        if c == L[0]:\n",
    "            CCBgeom[i] = countyGeom[c]\n",
    "        else:\n",
    "            CCBgeom[i] = CCBgeom[i].union(countyGeom[c])\n",
    "        allFusedCounties.append(c)\n",
    "        pops += countyPop[c]       #  IS THIS EVEN USED?\n",
    "        CPs.append(countyCP[c])   #  IS THIS EVEN USED?\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(i,countyGeom[c])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "206c9372-8ec8-4190-93ed-04df286466e0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now identify the border counties + border fused units, and interior small counties with pop < 15732\n",
      "We defined a total of 5 unit (but not corner-cluster) counties in the map\n",
      "excluding the cut-out districts and collapsed counties\n"
     ]
    }
   ],
   "source": [
    "maxWholeBorderCountyPop = 0.02 * aDP   #to encourage contiguity, border counties > 0.02 aDP will be forced whole\n",
    "maxInteriorBorderCountyPop = 0.02 * aDP\n",
    "print(\"now identify the border counties + border fused units, and interior small counties with pop <\", int(maxInteriorBorderCountyPop))\n",
    "unitCounties, borderCounties = list(), list()\n",
    "origMAP = MAP\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    MAPexterior = MAP.exterior\n",
    "else:\n",
    "    maxArea = 0\n",
    "    for geo in MAP.geoms:\n",
    "        if geo.area > maxArea:\n",
    "            MAPexterior = geo.exterior\n",
    "            maxArea = geo.area\n",
    "            MAP0 = geo\n",
    "    MAP = MAP0\n",
    "for c in set(uncutCountyList).difference(set(collapsedCountyList)):\n",
    "    if countyGeom[c].intersects(MAPexterior):\n",
    "        borderCounties.append(c)\n",
    "        if c not in allFusedCounties:\n",
    "            if countyPop[c] < maxWholeBorderCountyPop:\n",
    "                unitCounties.append(c)\n",
    "    else:\n",
    "        if countyPop[c] < maxInteriorBorderCountyPop and c not in allFusedCounties:\n",
    "            unitCounties.append(c)\n",
    "print(\"We defined a total of\",len(unitCounties),\"unit (but not corner-cluster) counties in the map\")\n",
    "print(\"excluding the cut-out districts and collapsed counties\")        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e0ff719c-59dc-4827-a522-11bd352f7524",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For this state, do we have a lot of populated fragmented VTDs?\n",
      "706 fragmented VTDs out of 8941\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FYI, here are the locations of fragmented VTDs with pop > 3000\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"For this state, do we have a lot of populated fragmented VTDs?\")\n",
    "nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "print(len(fragmentedVTDs),\"fragmented VTDs out of\",nVTDs)\n",
    "fragPop = [tractPop[v] for v in fragmentedVTDs]\n",
    "plt.hist(fragPop)\n",
    "plt.show()\n",
    "print(\"FYI, here are the locations of fragmented VTDs with pop > 3000\")\n",
    "for v in fragmentedVTDs:\n",
    "    if tractPop[v] > 3000:\n",
    "        plotPoly(vtdGeom[v])\n",
    "plotPoly(MAP,0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "def89086-e45b-4617-8194-e3c471caff6b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New for WI and OH VRA - pre-combine (frag)VTDs to have < 400 units per district\n",
      "... after we assign unit nos to the unit counties\n",
      "Now identifying discontig precincts that we will exclude from fusing to reduce units / county\n",
      "I split up 241 fragmented VTDs, leaving 465 to be fused in a later block\n",
      "If we don't combine some VTDs, we would have 9773 total units, or 651.5333333333333 per district\n"
     ]
    }
   ],
   "source": [
    "print(\"New for WI and OH VRA - pre-combine (frag)VTDs to have < 400 units per district\")\n",
    "# ... below code originally in block below, but moved here\n",
    "unitPop, unitCP, unitGeom, nbrUnitGeom, allUnits = list(), list(), list(), list(), list()\n",
    "vtdUnits, borderUnits = list(),list()\n",
    "countyUnitList = [list() for c in range(nCounties) ]\n",
    "surroundedVTDs, surrounders = list(), list()  #vtds that are surrounded by another vtd - problem for later enclaves, xfer their pops to surrounders\n",
    "#These surrounded VTDs don't get transferred to the unit list\n",
    "print(\"... after we assign unit nos to the unit counties\")\n",
    "for c in unitCounties:\n",
    "    unitCP.append(countyCP[c])\n",
    "    unitPop.append(countyPop[c])\n",
    "    unitGeom.append(   countyGeom[c] )\n",
    "    nbrUnitGeom.append(countyGeom[c] )\n",
    "    allUnits.append(c+0.5)  #use non-integers to avoid vtd and county and cluster confusion\n",
    "    countyUnitList[c] = [c+0.5]\n",
    "print(\"Now identifying discontig precincts that we will exclude from fusing to reduce units / county\")\n",
    "\n",
    "nVTDneighbors = [0 for v in range(nVTDs)] #this loop -- just checking for surrounded VTDs\n",
    "lastVTDneighbor = [-999 for v in range(nVTDs)]\n",
    "\n",
    "nFragmentedVTDs,fragmentedVTDs, coastalFragmentedVTDs = 0, list(), list()  #a prev version treated coastal separately\n",
    "fragVTDgeom, parentVTDno, fragVTDpop = vtdGeom.to_list(), [v for v in range(nVTDs)], tractPop.to_list()  #these lists will expand to include vtd fragments \n",
    "origVTDgeom = vtdGeom.copy() #we create a parallel fragVTDgeom list which grabs the 1st fragment, then append fragments to the total list\n",
    "origVTDpop = tractPop.copy()\n",
    "VTDchildren = [[v] for v in range(nVTDs)]  #the list of all fragment numbers associated with the original VTD, including ones that get surrounded\n",
    "countyFragVTDs = [countyTractList[c].copy() for c in range(nCounties)]\n",
    "cantFuseList, mustFuseList, fuseBuddyList = list(), list(), list()\n",
    "nonunitCounties = list()\n",
    "for c in range(nCounties):\n",
    "    if c not in allFusedCounties + unitCounties:\n",
    "        nonunitCounties.append(c)\n",
    "for c in nonunitCounties:\n",
    "    for v in countyTractList[c]:\n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :   \n",
    "            cantFuse = True  #a multipoly vtd-based unit.  For simplicity, do not buddy-fuse these\n",
    "            if v not in fuseBuddyList: #avoid reciprocal fusing; too complicated\n",
    "                for vv in countyTractList[c]:\n",
    "                    if v != vv and (vtdGeom[v].union(vtdGeom[vv]) ).geom_type == dummyPoly.geom_type and cantFuse :                    \n",
    "                        mustFuseList.append(v)  #fusing these two cures the split VTD, so fuse instead\n",
    "                        fuseBuddyList.append(vv)\n",
    "                        cantFuse = False\n",
    "                        break\n",
    "            if cantFuse: #break VTD into its fragments\n",
    "                cantFuseList.append(v)                \n",
    "                nFragmentedVTDs +=1\n",
    "                fragmentedVTDs.append(v)\n",
    "                geos, areas = [geo for geo in vtdGeom[v].geoms ], [geo.area for geo in vtdGeom[v].geoms]\n",
    "                for i, geo in enumerate(geos):\n",
    "                    if i == 0:\n",
    "                        fragVTDgeom[v] = geo\n",
    "                        fragVTDpop[v] = tractPop[v] * areas[i] / np.sum(areas)  #overwrite, then distribute balance below\n",
    "                    else:  #create a new VTDfrag\n",
    "                        fNo = len(fragVTDgeom)\n",
    "                        fragVTDgeom.append(geo)\n",
    "                        fragVTDpop.append( tractPop[v] * areas[i] / np.sum(areas) )\n",
    "                        parentVTDno.append(v)\n",
    "                        countyFragVTDs[c].append(fNo)\n",
    "                        VTDchildren[v].append(fNo)\n",
    "                        nVTDneighbors.append(0)\n",
    "                        lastVTDneighbor.append(-999)\n",
    "print(\"I split up\",nFragmentedVTDs,\"fragmented VTDs, leaving\",len(mustFuseList),\"to be fused in a later block\")\n",
    "nOrigUnits = len(fragVTDgeom) + len(unitCounties) + nCCBs\n",
    "nOrigUnits -= np.sum([len(countyFragVTDs[c]) for c in allFusedCounties + unitCounties])\n",
    "nOrigUnitsPerDistrict = float(nOrigUnits)/nDistricts\n",
    "print(\"If we don't combine some VTDs, we would have\",nOrigUnits,\"total units, or\",nOrigUnitsPerDistrict,\"per district\")\n",
    "\n",
    "fusedGeoms = [ [fragVTDgeom[vv] for vv in countyFragVTDs[c] ] for c in range(nCounties) ]\n",
    "fusedPops =  [ [fragVTDpop[vv]  for vv in countyFragVTDs[c] ] for c in range(nCounties) ]\n",
    "isWiped =    [ [False           for vv in countyFragVTDs[c] ] for c in range(nCounties) ] #surrounded or fused\n",
    "for c in unitCounties:\n",
    "    fusedGeoms[c] = [ countyGeom[c] ]  #these three won't be accessed, but just in case ...\n",
    "    fusedPops[c]  = [ countyPop[c]  ]\n",
    "    isWiped[c]    = [ False         ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3af493e2-9b9b-42aa-9034-b164271f187e",
   "metadata": {},
   "outputs": [],
   "source": [
    "debug3 = False\n",
    "barredVTDfusingCounties = [17, 24]  #to keep the VRA cores clean, do not fuse vtds in Cuyahoga and Franklin\n",
    "# tbd if we allow fusing in Ottawa and Erie near Marblehead "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "874b0de3-34a6-4e63-bf6d-1d26dabbf8a5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now apply all FORCED fuses (multigeom VTDs made whole by fusing w another single VTD)\n",
      "830639.0 county 30 pops before fusing its forced-fuse list\n",
      "830639.0 county 30 pops after the fusing operation\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "To speed computation, enter max number of units per district; e.g. 400 400\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "created temp nbr list for county 0 with 23 13 original and target UPC\n",
      "created temp nbr list for county 5 with 37 23 original and target UPC\n",
      "created temp nbr list for county 10 with 30 19 original and target UPC\n",
      "created temp nbr list for county 15 with 25 18 original and target UPC\n",
      "created temp nbr list for county 20 with 183 108 original and target UPC\n",
      "21 60 c,NFU. target V index will now be 35 which refers to v 3740\n",
      "21 50 c,NFU. target V index will now be 44 which refers to v 3749\n",
      "21 50 c,NFU. target V index will now be 45 which refers to v 3750\n",
      "21 50 c,NFU. target V index will now be 47 which refers to v 3752\n",
      "21 40 c,NFU. target V index will now be 44 which refers to v 3749\n",
      "21 40 c,NFU. target V index will now be 45 which refers to v 3750\n",
      "21 40 c,NFU. target V index will now be 58 which refers to v 3763\n",
      "created temp nbr list for county 25 with 27 21 original and target UPC\n",
      "created temp nbr list for county 30 with 555 422 original and target UPC\n",
      "created temp nbr list for county 35 with 33 22 original and target UPC\n",
      "county 37 does not need fusing; only has 17 vs max 22.48732\n",
      "created temp nbr list for county 40 with 65 33 original and target UPC\n",
      "created temp nbr list for county 45 with 42 23 original and target UPC\n",
      "created temp nbr list for county 50 with 71 33 original and target UPC\n",
      "created temp nbr list for county 65 with 19 13 original and target UPC\n",
      "created temp nbr list for county 70 with 70 39 original and target UPC\n",
      "created temp nbr list for county 75 with 290 190 original and target UPC\n",
      "created temp nbr list for county 80 with 44 14 original and target UPC\n"
     ]
    }
   ],
   "source": [
    "print(\"Now apply all FORCED fuses (multigeom VTDs made whole by fusing w another single VTD)\")\n",
    "cc = 30\n",
    "print(np.sum(fusedPops[cc]),\"county\",cc,\"pops before fusing its forced-fuse list\" )\n",
    "for i, v in enumerate(mustFuseList):\n",
    "    vv = fuseBuddyList[i]\n",
    "    c = countyNo[v]\n",
    "    vIdx, vvIdx = countyFragVTDs[c].index(v), countyFragVTDs[c].index(vv)\n",
    "    surroundedVTDs.append(v)\n",
    "    surrounders.append(vv)\n",
    "    fusedPops[c][vvIdx] += fusedPops[c][vIdx]\n",
    "    fusedGeoms[c][vvIdx] = fusedGeoms[c][vvIdx].union(fusedGeoms[c][vIdx])\n",
    "    fusedPops[c][vIdx], isWiped[c][vIdx] = 0, True\n",
    "print(np.sum(fusedPops[cc]), \"county\",cc,\"pops after the fusing operation\" )\n",
    "    \n",
    "# and now the additional fuses to reduce units / district.  Fuse within counties only\n",
    "maxUnitsPerDistrict = int(input(\"To speed computation, enter max number of units per district; e.g. 400\"))\n",
    "for c in nonunitCounties:    \n",
    "    if c not in barredVTDfusingCounties: #keeping these unfused to get 1:1 coreVTDs <--> coreUset\n",
    "        targetUnitsPerCounty = countyPop[c] / aDP * maxUnitsPerDistrict\n",
    "        nFusedUnits, nCFVs = 0, len(countyFragVTDs[c])\n",
    "        for wiped in isWiped[c]:\n",
    "            if not wiped:\n",
    "                nFusedUnits +=1\n",
    "        if nFusedUnits <= targetUnitsPerCounty:\n",
    "            print(\"county\",c,\"does not need fusing; only has\",nFusedUnits,\"vs max\",r5(targetUnitsPerCounty) )\n",
    "        else:  #create neighbor list of VTD frags in this county.  then fuse until county units suff'ly reduced\n",
    "            cNbrs = [list() for geo in fusedGeoms[c] ]  #neighbor list, excluding above surroundees\n",
    "            for ii, geo in enumerate(fusedGeoms[c]):\n",
    "                if not isWiped[c][ii]:\n",
    "                    for iii, nGeo in enumerate(fusedGeoms[c]):\n",
    "                        if not isWiped[c][iii] and ii != iii:\n",
    "                            if isRookAdj(geo,nGeo):\n",
    "                                cNbrs[ii].append(iii)\n",
    "                                cNbrs[iii].append(ii)\n",
    "            if c%5 == 0:\n",
    "                print(\"created temp nbr list for county\",c,\"with\",nFusedUnits,\n",
    "                      int(targetUnitsPerCounty),\"original and target UPC\")\n",
    "            while nFusedUnits > targetUnitsPerCounty + 1: #find smallest nonwiped frag, fuse w/smallest extant neighbor\n",
    "                vIdxList, vPops = list(), list()          \n",
    "                for jj, wiped in enumerate(isWiped[c]):\n",
    "                    if not wiped:\n",
    "                        vIdxList.append(jj)\n",
    "                        vPops.append(fusedPops[c][jj])\n",
    "                vOrder = np.argsort(vPops)\n",
    "                indexC = 0\n",
    "                foundNeighborlyV = False\n",
    "                vListIndex = vPops.index(np.min(vPops))\n",
    "                vIdx = vIdxList[ vListIndex ]\n",
    "                while not foundNeighborlyV:  #step from lowest pop to highest here to look for suitable fuse victim\n",
    "                    #vIdx = vIdxList[vOrder[indexC]]\n",
    "                    nList, nPops = list(), list()\n",
    "                    for nIdx in cNbrs[vIdx]:\n",
    "                        if not isWiped[c][nIdx] and nIdx != vIdx: #just in case\n",
    "                            nList.append(nIdx)\n",
    "                            nPops.append(fusedPops[c][nIdx] )\n",
    "                        else:  #this neighbor has been surrounded/fused.  Point to its surrounder as a fuse candidate\n",
    "                            surrFV = surrounders[ surroundedVTDs.index(countyFragVTDs[c][nIdx]) ]\n",
    "                            surrIdx = countyFragVTDs[c].index(surrFV)\n",
    "                            if surrIdx != vIdx :\n",
    "                                nList.append(surrIdx)\n",
    "                                nPops.append(fusedPops[c][surrIdx])\n",
    "                    if len(nList) == 0:\n",
    "                        #print(\"eschewing low-pop v\",countyFragVTDs[c][vIdx],\"in county\",c,\"cant be fused now; retrying...\")                      \n",
    "                        vListIndex = int(  (vListIndex+1)%len(vIdxList)  )  #KISS, just cycle through\n",
    "                        vIdx = vIdxList[ vListIndex ]\n",
    "                        #indexC += 1\n",
    "                        if nFusedUnits%10 == 0:\n",
    "                            print(c,nFusedUnits,\"c,NFU. target V index will now be\",vIdx,\"which refers to v\",countyFragVTDs[c][vIdx])\n",
    "                        #print(vOrder)\n",
    "                        #pause = input(\"ready to continue?\")\n",
    "                    else:\n",
    "                        foundNeighborlyV = True                        \n",
    "                        vvIdx = nList[nPops.index(np.min(nPops ) ) ]   #... and fuse to smallest neighbor \n",
    "                        fusedV, masterV = countyFragVTDs[c][vIdx], countyFragVTDs[c][vvIdx]\n",
    "                        surroundedVTDs.append(fusedV)\n",
    "                        surrounders.append(   masterV)\n",
    "                        for ijk, v in enumerate(surroundedVTDs): #update surrounds of surrounds\n",
    "                            if surrounders[ijk] == fusedV:\n",
    "                                surrounders[ijk] = masterV\n",
    "                                if debug3:\n",
    "                                    print(\"surrounder for\",v,\"changed from\",fusedV,\"to\",masterV,\"= indices ..\",vIdx, vvIdx)\n",
    "                        fusedPops[c][vvIdx] += fusedPops[c][vIdx]\n",
    "                        fusedPops[c][vIdx ] = 0\n",
    "                        isWiped[c][vIdx] = True\n",
    "                        nFusedUnits -=1\n",
    "                        if debug3:\n",
    "                            print(\"   \",c,nFusedUnits, vIdx, vvIdx,\n",
    "                                  \"c,nFusedUnits, wiped index, receiving index\",int(np.sum(fusedPops[c])))\n",
    "    # This county done. Now update the fused geometries for the surrounders in this county\n",
    "        for jj, vf in enumerate(countyFragVTDs[c]):\n",
    "            if vf in surrounders:\n",
    "                for ii,capturedVF in enumerate(surroundedVTDs):\n",
    "                    if surrounders[ii] == vf:\n",
    "                        vIdx = countyFragVTDs[c].index(capturedVF)\n",
    "                        fusedGeoms[c][jj] = fusedGeoms[c][jj].union(fusedGeoms[c][vIdx])\n",
    "                        \n",
    "                    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "81420c41-3a57-467c-be3b-d2372efa47d1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data integrity after fuse operation in county 76\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "areasum = 0.11667888796649978 vs county area 0.11667888796649958\n",
      "popsum = 540427 vs county total pop 540428.0\n",
      "540428.0\n"
     ]
    }
   ],
   "source": [
    "c = 76\n",
    "print(\"data integrity after fuse operation in county\",c)\n",
    "cPOP = 0.\n",
    "areaSum = 0.\n",
    "for i, geo in enumerate(fusedGeoms[c]):\n",
    "    if not isWiped[c][i]:\n",
    "        plotPoly(geo)\n",
    "        plotCenter(\"N\",geo)\n",
    "        areaSum += geo.area\n",
    "        cPOP += fusedPops[c][i]\n",
    "    else:\n",
    "        plotPoly(geo,0.3)\n",
    "plt.show()\n",
    "print(\"areasum =\",areaSum,\"vs county area\",countyGeom[c].area)\n",
    "print(\"popsum =\",int(cPOP),\"vs county total pop\",countyPop[c])\n",
    "print(np.sum(fusedPops[c]))\n",
    "for v in countyFragVTDs[c]:\n",
    "    if v in surroundedVTDs:\n",
    "        pass\n",
    "        #print(v,\"is surrounded by\",surrounders[surroundedVTDs.index(v)] )\n",
    "    surrL = list()\n",
    "    if v in surrounders:\n",
    "        for ii, vv in enumerate(surroundedVTDs):\n",
    "            if surrounders[ii] == v:\n",
    "                surrL.append(vv)\n",
    "        #print(\"   \",v,\"surrounds fragVTDs\",surrL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "35d74720-ca93-4a28-8660-79303df5f834",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i, geo in enumerate(fusedGeoms[c]):\n",
    "    if not isWiped[c][i]:\n",
    "        plotPoly(geo.buffer(-0.001))\n",
    "        plotCenter(\"i\",geo)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9f15583c-4809-44fd-ae6b-e01a3c74bc6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "above: cPops vs county Pop.  Below = sum area for fused Geoms / county area - 1.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for c in nonunitCounties:\n",
    "    plt.scatter(c,np.sum(fusedPops[c])/countyPop[c])\n",
    "plt.show()\n",
    "print(\"above: cPops vs county Pop.  Below = sum area for fused Geoms / county area - 1.\")\n",
    "for c in nonunitCounties:\n",
    "    liveList = list()\n",
    "    for i in range(len(isWiped[c])):\n",
    "        if not isWiped[c][i]:\n",
    "            liveList.append(i)\n",
    "    plt.scatter(c,np.sum([fusedGeoms[c][i].area for i in liveList]) / countyGeom[c].area - 1.)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9ae5fc3b-55a2-4c64-abef-1e488b0a7df3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "special for Ohio -- simplify topology near Danbury and Marblehead\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"special for Ohio -- simplify topology near Danbury and Marblehead\")\n",
    "for c in [21, 61]:\n",
    "    for i, geo in enumerate(fusedGeoms[c]):\n",
    "        if geo.centroid.x > -82.9 and geo.centroid.y > 41.43 and not isWiped[c][i]:\n",
    "            plotPoly(geo,c/61.)\n",
    "            plotCenter(i,geo,12)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "bc5ffea2-c292-4f86-9ab7-c5649d0824b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the vtd numbers for Ottawa 20 and Erie 45\n",
      "fragVTDnumbers are 933 3750 . ensure they are linked in below neighbor lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here are the vtd numbers for Ottawa 20 and Erie 45\")\n",
    "v61 = countyFragVTDs[61][20]\n",
    "plotPoly(fragVTDgeom[v61])\n",
    "plotCenter(v61,fragVTDgeom[v61])\n",
    "v21 = countyFragVTDs[21][45]\n",
    "plotPoly(fragVTDgeom[v21])\n",
    "plotCenter(v21,fragVTDgeom[v21])\n",
    "print(\"fragVTDnumbers are\",v61,v21,\". ensure they are linked in below neighbor lists\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "8757067a-fa1a-48e9-985f-00e231bc81c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now force surrounds in Danbury-Marblehead area.  \n"
     ]
    },
    {
     "data": {
      "image/png": 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3RBKrNSgnXVKzxhgOePywp/hUe0IISWVR/QVuaGjArbfeisrKShgM8ctH0DQNs2fPxsMPPwwAmDlzJnbv3o3169fju9/9btyuc7o1a9bgjjvuCH/vcrko+EkTTkXF+CTJmfGrGhr8QXAcMN6kT7kp9oQQkk6i6vHZuXMnHA4HZs2aBVEUIYoiPvjgAzzxxBMQRRGqqsbUiOLiYkydOjVi25QpU1BfXw8AKCoqAgC0tLREHNPS0hLeV1RUBIfDEbFfURR0dHSEjzmdXq+HzWaLeJD0wCfBqlYuRcVBjx8tQRkTzAaMN6VeXSFCCEk3UQU+ixYtQk1NDaqrq8OP2bNnY+XKlaiuroYgxFZZ9sILL8T+/fsjth04cADl5eUAgDFjxqCoqAjvvfdeeL/L5cLHH3+MuXPnAgDmzp2Lrq4u7Ny5M3zM+++/D03TMGfOnJjaRVKTrDGICYwv2oIKDnr88KoaJpgN4XXGCCGEJF5UQ11WqxXTpk2L2GY2m2G328Pbm5ub0dzcjEOHDgEAampqYLVaUVZWhtzcXAChAOqKK67AzTffDAC4/fbbccEFF+Dhhx/GVVddhU8++QQbN27Exo0bASBcK+jBBx/EhAkTMGbMGNxzzz0oKSnBN7/5TQChHqJly5bhhhtuwPr16yHLMm6++Wb8x3/8B0pKSmL/FyIpRwNLWM9Koz8IiecwwZwcw2yEEEIiDamAYV/Wr1+PmTNn4oYbbgAAzJ8/HzNnzsTmzZvDx9TW1qKtrS38/bnnnovXXnsNf/7znzFt2jQ88MAD+O1vf4uVK1eGj/npT3+KH//4x7jxxhtx7rnnwu124+23347INXrxxRcxefJkLFq0CJdddhnmzZsXDp5IZlF7Frka4Wu6VY2KEBJCSBLjGEvAO0SScrlcyMrKgtPppHyfFHbA48cEk35Ep7J7VBVHfUFMMRuScgo9IYSks2jev2leLUkrrUEZOZIwosFHh6zApaiYajGO2DUJIYTEJu5DXYQkSktAhm+Eh5pcigqXoqKCEpgJISQlUOBDUh5jDPs9fogch7IRDEC8qgZHUKaghxBCUggNdZGUd9AbwHiTfkSXgAhqGo76AphCw1uEEJJSqMeHpDTGGHgOIxr09Cw9QUEPIYSkHurxISmN47gRq9LMGEOdL4ggYziLgh5CCElJFPiQlDfcYY9LUeEIyuAAlBv0EHmark4IIamKAh+S8oZjlKund0cDg1UQkmbBU0IIIUNDgQ9JaYwxyFp8a3A2+IMIahr17hBCSBqiwIektIPeAMaZ4jed/KDHjwKdiCyDLm7nJIQQkjwo8CEpy6WosIp8XGZ0eVQV9b4gxpr00PM02ZEQQtIVBT4kJWmM4bg/OOQp5SpjqPUGYBR4mp5OCCEZgAIfkpL2evyYYo494VjWGI76A+CAEV/QlBBCSOJQ4ENSTp0vgAkmPfgogxW3oqJNVqAyBoHjMM5IAQ8hhGQaCnxIymEM0PWRh+NSVLQHld7Hn/i/ReBRZtBFHTARQghJHxT4kJQTYBoOuX0QTgt+LCKPMXGc4UUIIST9UOBDUoamMbhafchXNCiKhoJSK7jT6uz0HNMju9A00s0khBCSxCjwISkh6FfQ3eFHdr4JgsSDaQwdzR4YLToEfSeGt7hQFWdbvhE8z6GrxZvYRhNCCEk6FPiQpKDKGjzOALR+qjBLegGSXgh/z/EcrLkGMAZk23r36miqNmxtJYQQkroo8CEjytcdRNCvgJ0W3wgiD0uOHrww+OKBOkP/P76KrEHUUSFCQgghkSjwIcOmu8MPVdEiFhE1mCVk5Q9/3o3OIMLTFYAcUCN6igghhGQ2CnxI3Lk7A5ADCqy5Boi6xAUdOUVmdDZ7YMrSQ2+kH3VCCCEAjQWQuJEDKjqaPBB1PHKKzAkNenrkFJnhd8vwe+REN4UQQkgSoI/BZMgCPgVeZwCCxCO32Jzo5vSSlW9EZ7MHBrOU6KYQQghJMAp8SNSUoAp3ZyD8vc4oIqco+QKeU5mz9XC2ekckv4gQQkjyosCHDIqmauhy+MALHESJR1aBMaXWudIZRGgqQ5fDi+wCCn4IISRTUeBDBiQHVLjafMgtMadUsHM6g1kCL3BoP+5GbrG5V9VnQggh6Y+Sm8mAXO0+2EdZUjro6aEziMgtMaOj2YOAr/eCpoQQQtIbBT7kjLyuIMxZ6bXwJ8dxsJdYEPDKcHf6E90cQgghI4gCH3JGAa+ctrOhbHYjRJ1Aa3oRQkgGocCH9KurxQuDJT2Dnh4GswSDRYKrzTfwwYQQQlIeJTeTXgJeGe6uQHgl9HRnMEtQgioCXhl6U3oHeoQQkunS/12NRKWrxQs5oMJeYsmIoKeHJccAryuY6GYQQggZZpnzzkbOSJU1tB1zw2o3wJJjSHRzEkJvkuBxBgY+kBBCSMqiwIdAVTR0ObzIG22BIGbuj4TJpoMS1BD00zR3QghJV5n7LkcAAEG/AqcjVKeHhNb16m73g2ks0U0hhBAyDCjwyWA+dxC+7iByS5J7na2RlltsRtsxNzQKfgghJO0MKfBZt24dOI7DbbfdFt62ceNGLFiwADabDRzHoaura8Dz3HfffeA4LuIxefLk8P66urpe+3sef/3rX8PH9bV/06ZNQ7nFtOV3y5D9Ki3a2QeO55BXakFHoweqoiW6OYQQQuIo5unsVVVV2LBhA2bMmBGx3ev1YtmyZVi2bBnWrFkz6POdddZZ2LJly8mGiSebVlpaiqampojjN27ciMceewyXXnppxPbnn38ey5YtC3+fnZ096DZkioBPQdCvwJZnTHRTkhbHccgbbUF7oxu2PCMknZDoJhFCCImDmAIft9uNlStX4plnnsGDDz4Ysa+n92fbtm3RNUQUUVRU1Oc+QRB67Xvttddw1VVXwWKJzE3Jzs7u9zwkxOcKIruQenoGw15iQWezB+YsPXRGKntFCCGpLqahrlWrVmH58uVYvHhx3Bpy8OBBlJSUYOzYsVi5ciXq6+v7PXbnzp2orq7G9ddf32fb8vLycN555+G5554DY/3naQQCAbhcrohHJjjTvwnpLafIDL9HhqeLproTQkiqi/oj7KZNm7Br1y5UVVXFrRFz5szBCy+8gEmTJqGpqQlr167FRRddhN27d8NqtfY6/tlnn8WUKVNwwQUXRGy///77sXDhQphMJrz77ru46aab4Ha7ccstt/R53UceeQRr166N232kClEnQA6qNHwTBVueET53EK42Hw0REkJICuNYFB//GxoaMHv2bFRWVoZzexYsWICzzz4bv/3tbyOO3bZtGy6++GJ0dnZGnWfT1dWF8vJyPP744716dXw+H4qLi3HPPffgJz/5yRnP84tf/ALPP/88Ghoa+twfCAQQCJz8FO9yuVBaWgqn0wmbzRZVm1NN+/FQsUKdgYZvouFs9cKaawAv0IRIQghJFi6XC1lZWYN6/47qr/fOnTvhcDgwa9YsiKIIURTxwQcf4IknnoAoilBVdUgN75GdnY2JEyfi0KFDvfa9/PLL8Hq9uPbaawc8z5w5c3Ds2LGI4OZUer0eNpst4pEp7KMsCPoUdDZ7aAgnCtZcA9yd9O9FCCGpKqqP+4sWLUJNTU3Etuuuuw6TJ0/G6tWrIQjxGTpxu92ora3FNddc02vfs88+i8svvxz5+fkDnqe6uho5OTnQ6/VxaVe66Vmawu+R0dnsQU6RGYwxMAbwPJfg1iUnXuBpijshhKSwqAIfq9WKadOmRWwzm82w2+3h7c3NzWhubg731tTU1MBqtaKsrAy5ubkAQgHUFVdcgZtvvhkAcOedd+LrX/86ysvL0djYiHvvvReCIGDFihUR1zp06BC2b9+ON998s1fbXn/9dbS0tOD888+HwWBAZWUlHn74Ydx5553R3GJGMpglSDoBXS1egAstYWGzGyHpKQeoL5JeoJXcCSEkRcU9wWP9+vURCcPz588HEKqv873vfQ8AUFtbi7a2tvAxx44dw4oVK9De3o78/HzMmzcPO3bs6NWr89xzz2H06NFYsmRJr+tKkoSnnnoKt99+OxhjGD9+PB5//HHccMMN8b7FtCRIfMQU985mDyw5Bgp++mDJMaCrxQuO5yhHihBCUkxUyc3pLprkqEzQftyNnGIzDXv1o7PZA3O2noIfQghJsGFLbiaZJbfEjM4mT6KbkbRyiszwOoO0mjshhKQQCnxIvziOAy9Qb8+ZZBea4HUG4XUFE90UQgghg0CBDzkjjqPAZyDZhSZwHNDR5KHeH0IISXKUnED65ekKwGChmUuDYbTqYLTq4OkKwOsMQjIIMGdRGQVCCEk2FPiQPnmcATAWmupOBs+cHQp2Aj4FXS1eqIpGCeKEEJJEKPAhEYJ+Be7OAIwWCcYsXaKbk7L0RhF6owjGGNoa3MgbbQFHwQ8hhCQcBT4krLvDDwDILTYnuCXx0/bFYTD1RKVlDgADOA6h/5yoUg0utCt0DBdevf70/CY1qECfbUb2hNGDvj7HccgrtVDwQwghSYICHxKmKhosOemVl8JUDfkzx8ftfC2f7ocalCHoBj8ESMEPIYQkD5rVRcKyC0zoavEhnWpaxjvIyJ81Aa3VtdG3g+OQN9qClk/3Q+nsjGubCCGEDB4FPiRCbrEJHVS0sF88z0NnMSLQ6Yrqee76ZrRVH4K3JRT0+A8fxosfb8Bnjs+Go5mEEEL6QUNdJAIv8DCYJAR9CnRG+vHoS+7UcrR8vBeFc85cFt3f5YbrUCMAwDw6H/mzipA/awIAYJf/IF7a/nvU7+Mwt3gubjr7JpxdcPZwN50QQjIevbORXszZenS1eCnwOQNjUS7cxxywjC4Ib2OMwXW4EUGnF5qqQW81oGD2xD6f//qul2AtKsWvL7odT3/+NK556xpMyZ2C80vOx39M+g+UWEpG6lYIISSj0DsbITGwlReipWoffA5neLYYAFjLC5E1btQZn9vh78Cug9tw1SW3Y0nFEiwuX4z369/Hlvot+NvBv+HPe/+MH3zlB/ju1O9CEqiOEiGExBMFPqRPoo6HHFQh6YREN2VImDZ8idqF506O6XmvH9oMAPjGuG8AAHiOx+LyxVhcvhge2YOnq5/Gk589iddrX8evvvorTMiZELc2E0JIpqPkZtInS44BXS3etJrhlQwYY3j/402YMeMSZBuye+03S2bcee6d+L+v/R8EXsDKN1finbp3Rr6hhBCSpijwIf3KLTGj/bgHclBNdFNilmw1cz5t+RRNzmP41tSrznjcpNxJ+NOlf8KC0Qtw17a7sOnLTSPUQkIISW801EX6JQg88kZb4GrzwcsYsvJNiW5Synut5s8oyBmN2YWzBzzWJJnwy/m/hMfTjSO790Ibp4LXp/bQIyGEJBr1+JAB2fKMsGQb0Nnsgavdl+jmRCdJhuoUTcHTu/6APZ9VYumclb2Ww+gPx3GwmbLQomuH5g5CdQeHuaWEEJLeKPAhgyJIPHKKzDCYpdQqcDjIAGM4NXQ34EevXI03tq7HssU/worJK6J6vk6nh6ooEO1GQGNQOv3D1FJCCEl/NNRFoqIziMjK49F+3I3cEvOgey4SZThndQ14bcbw99q/47k3H4TRmoOHr/1ffCX/K1GfxyAY4FcCAADBpofmlSE7vJAKaOiREEKiRYEPiZog8RB1PJjGwAnJHvhoCbmuM+DEQ9vuwe6a93Hu7Mvx0wt/BrMU26r3BtGAoHZyiIs3SeAkAcFGN6Qic9IlcBNCSDKjwIdETVM1qDIDLyT3SKnqDyRkOv7HTR/j0X+shhL047ZvP44lFUvgDrrxbt27qG6thjvghj/ggxqQofoVqJoCnuPBcaF/T57nAS40I43jODR4jkFQIoMbTuIhFZuhtHgh5Bgo6ZkQQgaJAh8SFcYY2hs9yBttSXRTBtSy8xCK5k6J6zk1pqHN14YmTxOaPE1odjej2duMttYGuB3H0Optg8fvxLixs3HPknUoMhcBAH7+/t04fPQAciy5yDJkQ9RJEA0SDBYTRFGCxjRomgbGWKiXSgM0aIDGUK6vwPi83kUMOY6DVGSG0uYDkwUIFl1c75UQQtIRBT4kKu3H3bCPsiR9bo9j1wHYp5WHek+GYE/7Hrz4xR/hbqpHh9uBVl8bVO1kXSOjaESBMR82exGKJ83ETHMxxmaPxaKyReA5Hp3+TlQerUSj8zg4cLj70nsxKXfSUG8vgphnhOoMQOnyQ8w2xPXchBCSbijwIYOiaSpqd+5Hfnkx+D5ySuSgjKaDDZEbGQAOyK8ohNEcW35LLDr3HYW5MBf6rKH1SjV7mvGzl38AG2/CqLEzMHbSHBSbi1FsKUahqRDFlmJYJWuvINAje/CPw//AewcqcfDYPjAwTBw1BYtmX4KJOX0vWjpUQhYlPRNCyGBQ4EMGpCoy2o81YPzsKWhraMHRmtqIhFqmMQiSgNGTy8ELwmnPVdF6tAXHO48iq8CO/LLCYW1rd30LOFGEeVTekM7jV/xY88Yq6CQ9fvufm5BryD3j8RrTsKNxBzbv/zu+PPIFgmoQYwsn4JqL/h8uKb8EdqN9SO0ZDEp6JoSQgVHgQ85IkWV0Nh1HQcVYAEB+WVFUzxdEAUXjSuBqM0KRhzfR2N/uRKDLi7wZY4Z0HsYYHt5+H9qa6/Do1X86Y9Dj8Drw6v5X8O89H6DV24ri7BJcMecqLKtYhmJL8ZDaEYuepGe50QOpmIIfQgg5HQU+pF9yMABnSzPyyyqGfq6AHzqjbeiN6ofiC6DzUBOK58S2YvqpXvzyT9i58w3cdOUvMcXef3J0s6cZP3jlejBFw6xJc3DXxLsxPW96wvOfOI6DVGKG3OSBVGhO+pIDhBAykijwIX2S/X642lqRV1oel/MpPh/8RzvhN5428+j092QW+o+1rBAG++ACJU3T0LLzIEouPGvI7fyk6RP8+e3HsPCia7F87PIzHru7bTd8AR+e/Y//Qam1dMjXjieO40I9PxT8EEJIBAp8SC9Bvw/d7W2wj47jm7mzHSXnng1OkgZ1eNeh43AeaYIgCcidNqZX7tCpmnfsRdGcyUPuaTnuPo6H/3YbKsafg1vPu2PA4yVeAsBgFI1Duu5woeCHEEJ6o8CH9OLp7IB9VPyCHl9TE8ALgw56ACB7/CgAgOKX0fZ5LThwJ3qHIt+81YAM+7QKCNLQfpR9ig93v34zdAYTHlr6G4j8wOfTi3oAoUToZBUR/BQn/xIjhBAy3CjwIb3F8c3Re/w4uh3NKJx5TkzPFw0SCmYNzxTwHowx3L/t5+hobcCvrn4R2YbsQT1PL4QCn6Ca3CumhwsdtnghFY1cWQFCCElGyb3mAElp3mMNcLc5Yg56Rsof9/wPPv/sHay6/MGoigv2BD5+NXl7fHpwPAfRboDc6k10UwghJKEo8CERVEUOrxk1FJ76erjb21DwlZlxaNXwYYzh1a1P4cIL/z8sq1gW1XNTpcenBycJ4I0i1O7UaC8hhAwHCnxIBEGUoMpDe2N0H62D19mZ9EEPALy090XIfh8WlC+M+rmp1OPTQ7DooAVUMFkd+GBCCElDFPiQXgwWKzoaj8f03O66I/B1dyN/+lfi3Kr4e77mOfz5jXVYPP+7uKDkgqifn2o9Pj2kPCPkttQJ1gghJJ4o8CG9mLNzkFVQAKejOarndR8+jIDHg/xp04epZfGhMQ3/s/sFvPrWb3DJwu/j9vPujGm2UyrM6uqPlG+kfB9CSEYaUuCzbt06cByH2267Lbxt48aNWLBgAWw2GziOQ1dX14Dnue+++8BxXMRj8uTICrwLFizodcwPf/jDiGPq6+uxfPlymEwmFBQU4K677oKiKEO5xYykKjI6jh+DJXfw60u5DtciGPAj76xpw9iyoWvzteG2N27E/739K1z81Wtx86wfxzzFu6fHJ6AG4tnEEcGJfCjfx5VavVWEEDJUMU9nr6qqwoYNGzBjxoyI7V6vF8uWLcOyZcuwZs2aQZ/vrLPOwpYtW042TOzdtBtuuAH3339/+HuT6eQq1KqqYvny5SgqKsKHH36IpqYmXHvttZAkCQ8//HA0t5bR/B43PF2dyC8f/HpXzkMHoaoK7FOmDmPLhu7D4x/iV2+sBgPDz1ZswIWjLhzS+XS8DgCXkoEPEMr3Udp80IIqeF3/BSIJISSdxBT4uN1urFy5Es888wwefPDBiH09vT/btm2LriGiiKKiMy+AaTKZ+j3m3XffxZdffoktW7agsLAQZ599Nh544AGsXr0a9913H3Q6XZ/PI5G8TmdUxQudB/ZDBZA7qf81rRJNVmU8+envULn9BYybNAf3XvJL5BmHtno7EKqPo+N1KRv4AICYZ4Tc7AFP9X0IIRkipqGuVatWYfny5Vi8eHHcGnLw4EGUlJRg7NixWLlyJerr63sd8+KLLyIvLw/Tpk3DmjVr4PWezFH46KOPMH36dBQWFoa3LV26FC6XC3v27OnzmoFAAC6XK+KRyRRZhtBHT1t/nPv3QeM45E4cfO2bkVbvqseNL6/Ae//6X1y17Cf43defiUvQ00MnSCmZ43MqMc8I2UH5PoSQzBB1j8+mTZuwa9cuVFVVxa0Rc+bMwQsvvIBJkyahqakJa9euxUUXXYTdu3fDarUCAP7zP/8T5eXlKCkpwRdffIHVq1dj//79ePXVVwEAzc3NEUEPgPD3zc19J+k+8sgjWLt2bdzuI9W5Wh3ILRk1qGO79n4JptMhZ9z4YW5V7LbWb8Vv/nYXTLZcrPvui5iWF//8I6NogldJ7aCBE3kIVh2Udh9Ee3KuO0YIIfESVeDT0NCAW2+9FZWVlTAYDHFrxKWXXhr+esaMGZgzZw7Ky8vxl7/8Bddffz0A4MYbbwwfM336dBQXF2PRokWora3FuHHjYrrumjVrcMcdJxejdLlcKC1NrlW2RxLHDy7Jt2PPHvAmI3LGjB3mFsXO4XXgV3+7E5Mmno8HFj0KszQ8QzkmyQiP7BmWc48k3iiCaQxKlx9idvx+twkhJNlENdS1c+dOOBwOzJo1C6IoQhRFfPDBB3jiiScgiiJUNT5F0bKzszFx4kQcOnSo32PmzJkDAOFjioqK0NLSEnFMz/f95QXp9XrYbLaIR0ZjbMBDOvbUQDCbkJ3EQQ8A7OvYh4AawJ3zfjZsQQ8Q6vFxB9zDdv6RJJglcAIP1ZW6OUuEEDKQqAKfRYsWoaamBtXV1eHH7NmzsXLlSlRXV0MQ4jMzxO12o7a2FsXFxf0eU11dDQDhY+bOnYuamho4HI7wMZWVlbDZbJg6NblnGyULTdPOuL+j5guIFiuyKgY/4ytRBrO6ejzodXoEAr4RudZIEKw6gIGWtSCEpK2o3h2sViumTYvMkzCbzbDb7eHtzc3NaG5uDvfE1NTUwGq1oqysDLm5uQBCAdQVV1yBm2++GQBw55134utf/zrKy8vR2NiIe++9F4IgYMWKFQCA2tpavPTSS7jssstgt9vxxRdf4Pbbb8f8+fPD0+mXLFmCqVOn4pprrsGjjz6K5uZm/PznP8eqVaug1+uH8E+UGQJeL0RJ6nd/+xfVkHJyYSstG8FWxc4khkoddAe7h/U6glGCz58+gQ8ACFl6KF1+qB4Zgrn/nwlCCElFca/cvH79esycORM33HADAGD+/PmYOXMmNm/eHD6mtrYWbW1t4e+PHTuGFStWYNKkSbjqqqtgt9uxY8cO5OfnAwB0Oh22bNmCJUuWYPLkyfjJT36CK6+8Eq+//nr4HIIg4I033oAgCJg7dy6uvvpqXHvttRF1f0jfujva4Hd3I6ug7yHBtupd0OXaUyboAYAJORPAgcOX7V8O63VEvQ4skH5FMsVsA5hfgeZLv3vLNN3uffB6j8DrrUMg2AY2iCFtQtIZx+i3IMzlciErKwtOpzMj8n0YY+g43gBzdi4MFkufx7Tt2gl9URGsg5ztlUz+33PLUT7xHNw7b/iC3wd3PIiG+iPYcNWzw3aNRJJbvRBsOvD6kRk6JCGqRwZTNPBGEZzAAzxirjDu9dbBZKoAAChKN4LB9j6OYtDp8iGKff8dICTZRfP+TX/NMpTf7Ya7ow25o0vB833nZrXurIJx1GhYivrPtUpmk6bOw6e7/gH5gnsg8cMzZGMSTSlfx+dMpHwTlA4/VGcQYr4x5jdfEokxBs0VhCZr6PkXZaoGCKFOeMEkgjdJ0HwyNJUBWu/Pp6d+ZOVO+ULINZz2Op38WhStEEVrn+0JBtsQDLaGt+n1JRAEShMg6YcCnwwT9PvQ3dYGvdmMvLKKfo9zVH0Cc2k5zEWF/R6T7K6YdCW2/vtFfO+/l0HgBGhMBWMMKtNCbzxMRVbeKDzznU0xv6EbRAOCKVy5eTDEXENoqnurD5yOp+nuMWIqg9LuC5eN4G06SFlnnhAiSNEFHkzVoLT5wj/PDIAS8AOmMz+P4zjo9fkAQukFjDH4/Y1gLAiAg8EwCvwwfXggZKRR4JMhFFmG09EMSW+AffSZaxW1fPIJrBXlMBWkbtADABNzJuK7y3+GRncjOI6DwAngwIHneAicgM9bP0f93k+GdA2DaIBfTd8enx4cz0EqMEELKJAdXggWCbyJ3ggHgzEGpT30MzLcvWacwEPKj4xy/MdjOA/HwWgMDW8zpp0IgnryvTiEQiqc+D8Po7GMegNJyqDAJwN0d7RBlZVBrcHV8skO2MaMg/FEYnmqWzF5Rb/7fv/Z7+HU7x/SH2yjaIQ/zXt8TsXrRfAFItTuIOQWD0S7EZwY9zkSKY0xBs0tQ/MrAMeBAyDmGMAJqRkYcBwPo3F0v/s1LQCP5wAEwQKeF6Gqp1cyD923JGVBFG1QVS8UpRuaFoBeXwRBoGrhZGRR4JMBgl7fgL08ANC840NkTZgIoz1+a1klM7/ih2GIOQwGwQBVUyBr8rDlESUjwaoLLXPR5gNjDGJeZub/9OTqMDlUA6unH0SwSJCsA4wvpQme18NimQRNC0DTgtDre/cUM8agKC74/Y0QBBN0Ojs4TodAoBl+f9OJ4KoMHMeHjw8GW6GqHpyao3TKGQEAkpQLScoaxrsj6YgCnwwwmKUomj/6N7InTYHhRK2lTMBzPGRVHtI5jGLo02pACUDSZU7g00PMM4byShxe8AYRQlb6JsMyxqA6g2CKFvFWzNt0EAbI1ckEPK8Hz/f9+nMcB0nK6hWkGAyhiROMqfD5Ihem1unyodcXnPGawWAHvN4jJ47P6zNxm5DTUeCTAay5eejuaIM1t++enKZ//ws5Z50FQ3bOCLcssSbnTsY7nudxxHkEY7Jiq0bdE/j4FB8susycCswJPKRCMzSfArnFAyFLD96Q2n9aQkFOAEwJ9Sz0BDpClh6clFpDe6lQr4TjhPCU+2jodLnQ6UIf1gIBB/z+RpjN48FxFIiS/qXWbzCJiaapYP0sR9H4r+3InT4j44IeAJg3ah4Mlizc+sJ38JuqxxFUo1+mwSCGZjil85T2weKNIqRCM1hAhezwQnWn3rIXqisIudULtcMPwaKDlGeElGeEeOKRakEP0PdAUTrS6wtgNk+E13sEwWBHoptDkljq/RaTqAR9Xni6umDL691lfPyf25F39kzoM6BYY1+y9Fn4n2vfwKILr8b77z+Hvx36W9Tn6Al8fGp6LVsxFEKWHlKBCRzPQW7xhJJ8kxjTGIJNHsitXkDgIOWbKGk7RXEcB7N5PDTNT8EP6Rf9ZqexoN+H7o525J5WdZkxhuPbt6Fg1jnQWTJ7TDzHkINbZ98G0WKFW45+lfWeoS7q8emNN0mhITC/CqU9uQJDLahCbvNBC6hQ2nyQCk2Q8k20NlmaMBhKIMtdiW4GSVKpPRBP+iUH/Ohua+s1m0vTNDRu34aiOedDNGbGrJPhZBSMADj4lOR6Y08mYrY+FGg4vNFN6T49OYUDIPDgRC7UG8NzgKKBKVp4VtXpz+f0AgSrDppPgeo5kcjOGDidACnPCNUZAG+WBjUBgKQWUTRDll2QpMzs0Sb9o8AnDcnBAFytDthHRy4qqmkaGj/YiqK5F0I0UPXdSLGlgBpEAzhQj89AeJ0AvmBogTbTGKAyMDUU7EBj4EQenEEEb+H7DF5UdxBymw+8QYBoP30pB6T1LLQwDtBUDbyQWR38en0h3O79EEVrRpZaIP2jwCfNKMEgnM1NvZaj0DQNx7e9j5KL5kOQdIlpXJLjYkgDPe4+Do5xyDZkx79BJALHcwDPRZVgLFh0EDJzsl0YJ0pgigxk4LpbJtM4uN17YbFMDtcIIoQCnzSiKjI6mxuRf3rQo6o4vn0bRl30VfBSZucweGUvFKaAMRYqPgcN2om1u2LxSs1fYbVk4Sz7WXFuKSHxIUgGqIofgj7zAh+eF2GxTIbHcxBGYykEgYb3CQU+aUORZXQ2HkN+eWQ9Gi0YxPF/foBRX70YvJiZL7cr6MLbR97Ge9Wv4HDjHrBTO3ZOxDsGGdAJ0fWEfd76OXbWfoLvffUGiHxm/tuS5McLemhK5iyrcjqO42GxTILPdwya1gijsQw8T73emYz+WqcBV6sDqqr0Cnp66LOyMy7oUTUVHzV9hDe+fBU1e7ZCZSomjTsPN33tAZglM3iOB8dxEYuWzi6aHdX5n/zgt7DnF+DKCVcO450QMjS8oIcc6Ex0MxLOaBwNxhh8vnowpsBoLAdPH1gyEr3qKUz2++Fqc8Bqz4OunxlavE6H1KjdGh+1XbX4+8G/4eNP/45OXweK7RX49uJbsHzschSYzlz+PhqvHHgFxzoa8Mg3fwWBpyqxJHnxoh6aN/WKSQ4HjuNgMpWfCICOguMEGI0Dr2NI0gsFPimqq6UZHMf1mrnVpzSf0dDl78JbdW/hvV2voL55Hyx6K86duRyXT7wCU+1T4z6jo9Pfib989CJmT52LswvOjuu5CYk3jgdY34XbM1YoAKqALLvg9zeF1wwjmYECnxQT8HrQ3d6GrMIiSLrBJiumX+AjazI+PP4h/rHnFdTs+wCMMUydeCF+euEPMX/0/KjzdaKxaf8mqFBx2zm3Dds1CIkXDSp4Rn/q+yJJNshye6KbQUYY/TakCMYYOpsaIen1yCstj+7JaRT37O/Yj78f/Buqdm6G0+/EqPxx+M8ld+KyMZfBbrSPSBsONO7DuKKJI3Y9QoaCKQHwIiXzEtKDAp8U0VZfh9xRoyGImTcdvcPfgTcPv4n3d72MY45DsBmycO6sr+MbE7+JybmTR7w9bsWNMhPlBZDUoAYD4KXMm8o+GKrqBcdRUJhpKPBJAZ3NjcgpiT3oiaUwX6LJqoztx7bjzd2v4MsD/wY4YPqk+bhm/q2YN3oeJD5xAaAmAZycOQnjJLVpShCS0ZzoZiQlv78RZvP4RDeDjDAKfFKEmAGFBxlj+LLjS2w+8Dd8uusf6A64UFY0CdcsW43LxlyWNNWRTZIJAW/m1kUhqUUN+mHIol6N0ylKN0SR1vHKRBT4JLmA1wshzWvwtHpb8Y/D/8DWnS+jqb0O2cYcXHjulbh8wjcwPif5Po0ZJSN8Kq3NRVKEpoIT0vtvSCyCwXYYjVHmS5K0QL8NSczpaAYAZBUUJbgl8RdQA9jasBVvf/EK9tV+DIETMH3qV/H9Rasxt2RuUldCNktmOGRnoptBhonsC6LzeBsY+q4EwQs88ipS63eSFunszWAogd9/jOr4ZKDkfXfJYEGfF93tbbDlF0DSp88q6owx1LTVYPP+17Cz+k14gh5UjJqK/3fZz7G0Yimy9FmJbuKgmEQT/Kov0c0gccIYg/NYO/z+ADgOEHQi8sYWgef7XtTSUds4wi0kw4HnddA0OdHNyByMJU1NOQp8kkxncyMEQRxcYcIU0expxhuH38AHn76Mls5jyDHnYcHcFbh8/DcwJqvvZTaSmVkywxukwCeVKQEZ7Q0OAKG/x1nFOci25CW4VWSkSVI2gsEO6HS5iW5K+nI1AkFPqJImAGgqkD8xoU2iwCdJ+D1uuDvakV1YDFEX30RENRhE16GDYJoWWp+K5yFIEnhJAidKEEQRnE4CL4rgJF2/n3Sj4VN8eL/+fbz9+cs4cORT6AQdZkxbiB8t/QXmFM1J6WUe8ox56Ax2QNXUpL0PTVYRcPrgc3uhKMrJWk4cQiuYxOOD14nzcOBgzcuCwZbcK187HZ3wOz0AQr06+WOL4/Kznuxo/mH/dLpceDyHKfAZDm4H4OsCrEWArSS0LegJbU8wCnwSbEiFCQcpf+YsqF4v2InraZoKTZahyjI0vx+aLENTFHiaGmHMy0f+V86O6TqMMXzm+Axv7H8NOz9/Gz7Zh7GlM/CDr6/FkvIlsOgscb2vRMnSZ0FjDL/Z+RuYdWYYBAN0gu7k/0UD9IK+90M8+bVBMEDkxT5zLxhjaPe3o95Vj0Ndh1DbeQgtzY1wu7rx47NvRbG5CANGLyIHvdUIS0k2JEka1hwPTdXQ3doFl6Orj70MlrwsmLIT89p3HGtF0BeagWe1Z6FwwuiEtCORkmNwIXlxnADGVHBccn6ISTm+rlBwY87r3bPjPAbkT0pIs05FgU8C+dzd8HR2IKe4ZFgLEwp6PQT9mQuYaaqKQEd7TEFPo7sRmw/9Hf/a+RoczkbYLYVYMu+7uHzcN1BqS7/EwSm5U1CaU4YvDuxEQAsgqAYhqzKCWs9CkD3dKj1fA30FKjzHQcfroBN0kHgdBI6HrMnwKT74VT8ADgLHo8hSDF2WEbuD+9Fia8NXKmaNyH0OFi/wyCrq+xMzYwzdji60HDoO4ERNKQ7ILS2AqIv/nx9N09B+1AFVUQEAOSW5yB2dH/frkPRhNJbC52uAyUQzvIbM7wR8nX0PZTEGJMmkleRoRYZhjKGj8Rj0JvOw9fJEq2XHRyice8Ggj/fKXlQercS7X7yCg3W7oBcNOHv6Ytw65SGcU3gOeC59hxDKbGV49tsv9NquMQ2yJsOv+BFUg/CrJ/8fUAIIqKFHeLviD28LqAFoTIOO18EoGjHKOgql1lJU2CqgE3QIqkHMf34+Ampq1Q/iOA62whzYCnPC2zRVQ0dDazg4AQDJqENOiT2mnqmAx4+upvZw7qS9rACiLv3rXpH44DgeNCAYJ93N/ffo+LuAJKnFRoHPCPO6nPC5nMgpGQU+SfJDug7sh7WiAsIga338/uPf4N2PX0RA8WNi+SysuvwhXFJ+CUxScud4DDee48NDWfEm8RJ4jodPSf2k6tB08MKIbQG3H47aJpz6BmTOs8GSbe31fE3V0HW8HcFAEBwHSAYdCsePGu5mk7RGgc+QdTcDloIz7G9JimEugAKfEcM0DR2Nx2GwWJJqxpbsdCLgdiN74sA/kEpnJ9TOTmz77FVUnHU+/mvOGoyy0BvOSOA4DnpeD7+SnoUT9RYDCseXhL9njMHjcMJxYogscpiQIWuUHbnG9Cn1QEhK62oAmBZKZO5LT1BE09kzS1vDUeSVloNLslkkji8+R8m8i854TPDYcbBgEEJONvRjx+KAsQuC10FBzwjTiboTuT/pj+M4WAqzYSnMTnRTSAbQ6fLg9zfBYChOdFNST6Ab4AWgv3xOxgC/K+FT2E9Fgc8IkfSGpAt62j7/DLkzZvQ9s0iWEWw4BgCQRpWAPy05OpGLhGYqg2BI2x4fQhJJFK0IBtsiN2pqaHaS7AUEXeghnvi/ZEqa3ouEczsA+7j+93cdBXKSI5e1BwU+GUwJBGHMyo7YpjqdUNo7wEkidGMq+gyKrDorFpUvGqFWkh56QZ8WOT4pjwOYxsDxqfHGp7Pa0X18f+TGU5ou+7uRO3b2yDYq0brqAfVk1eaA3AGJ1wG+2pPHcHxoeMZaFDpWDYT+73eFhm5OJ0iAbTSQZB9wEyrQHQogxfjnPQ4FBT4jhCVh8hwvnPwFlRsbofkDEGxW6McOUE2ZnZiWTEaUXtBnzFBXMuNEAZqsQtCnxp9PvS0Pelv/Vam7G/f3uy+tyD7AeRwAA7JKAelkjpji4WA2j+3/ueKJ3p4zUQJA5xFAUwD7+NDwTyZQ+1n2Q9NCuT+FU0e2PYMwpNB03bp14DgOt912W3jbxo0bsWDBAthsNnAch66urgHPc99994UqCp/ymDx5cnh/R0cHfvzjH2PSpEkwGo0oKyvDLbfcAqczcqHI08/BcRw2bdo0lFtMa6rHi2BdHQKHj0DIyYF+7BiIeQOX7ec4DhrTRqCF5FR6UQ+/TIFPoklGCbI3tcoKZDRXE9B2EPC2A3njgbwJkUGP4oEgGId+HVEfGvLJmwi07g/1dqSzgBto+RLI7eODclcD0LoPKJgy8u0ahJg/slRVVWHDhg2YMWNGxHav14tly5Zh2bJlWLNmzaDPd9ZZZ2HLli0nGyaebFpjYyMaGxvxq1/9ClOnTsXRo0fxwx/+EI2NjXj55ZcjzvP8889j2bJl4e+zs7OjvLP0oyoKXG2OUJJZD45D1llnQWePfn0io2ikIZcE0Ol08Acp8Ek0nV4P2SuD5pQlufCSCYWArf+k5UCg5cy9PdHiuFAvh/P4yeUZNDUUFKVDL5ASBDrrAMkY2Zvjd528X1sJkJ28xWtjCnzcbjdWrlyJZ555Bg8++GDEvp7en23btkXXEFFEUVHfU+GmTZuGV155Jfz9uHHj8NBDD+Hqq6+GoigRQVJ2dna/50mkkRwakoMBuNtPJurxgoDsgqK4JVebJBO8ijcu5yKDp5eoxycZiAYJ/k5PoptB+uPrAtwtgDl/wJlEquoDz8d3bcSwrFNmvTIGdBwO9QplpeiyKbIfcDaEqi/nTeid3O1pDfWopYCY3glXrVqF5cuXY/HixXFryMGDB1FSUoKxY8di5cqVqK+vP+PxTqcTNpstIujpaVteXh7OO+88PPfcc2Cs/9yaQCAAl8sV8Rguw5njE/B60dl0PPzwuVzILipBTvEo5BSPQlYcgx4AMIkm6vFJAIPOgGAwOPCBZFhJkhRa+JUkFyUQGmKSfaFCeaaBFx71+4/DaByBQITjQgFPey1wsBLwtA//NeOBsVDvTtshwOMIBTy5Y1J+RlvUPT6bNm3Crl27UFVVFbdGzJkzBy+88AImTZqEpqYmrF27FhdddBF2794Nq7V35da2tjY88MADuPHGGyO233///Vi4cCFMJhPeffdd3HTTTXC73bjlllv6vO4jjzyCtWvXxu0+RorX5UTA4w5/rzOakFM8cjV1TJIJXpl6fEaaQWeALPeTSEhGzHAu+EpipMpA+yGg8KxBPyUYbIMkjdCq7D29UGO/Ghr2OrwVGB+/joO46+mh0lQgp2LgxO4UE1Xg09DQgFtvvRWVlZUwGOI3wn3ppZeGv54xYwbmzJmD8vJy/OUvf8H1118fcazL5cLy5csxdepU3HfffRH77rnnnvDXM2fOhMfjwWOPPdZv4LNmzRrccccdEecuLU2+cUl3RzvkwMkhDoPVNqKBzumMopGGuhLAIBgQ0CiplpBeXMeBvMEvh8AYQ1DuhMU8YRgbdYISCA0D9SzXcOQDIDeOOUXx1lkXyuPJHQsMchkjAKEgKUVEFfjs3LkTDocDs2adXB1aVVVs374dTz75JAKBAARh6Mlb2dnZmDhxIg4dOhSxvbu7G8uWLYPVasVrr70GSTpzEb05c+bggQceQCAQgL6P1cn1en2f2xOJMYbutlaoyslP9uacXFhy7QlsVSSzZEa7L0W6atOIUTRSAUMSd5wgQZUDEKTk+lsYFU2N6k3a4z0Es2mEgg/nsdAQUY9xC0fmutHqaggNE+aUR193p+NwSuUuRRX4LFq0CDU1NRHbrrvuOkyePBmrV6+OS9ADhJKna2trcc0114S3uVwuLF26FHq9Hps3bx5Uj1N1dTVycnKSKrjxe9zwdbsikp0ZWMSMK2teAcQBgrpEMktmHHUdTXQzMo5BNKTc6uxpK/nKcsVMMtqg+FwQpPxENyV2hizA1wkYcwY81O9vhF5XAI5LgxlW8dJ2MDQTS2eO/rmdRwF9FqBLnUWqowp8rFYrpk2bFrHNbDbDbreHtzc3N6O5uTncW1NTUwOr1YqysjLk5obGUxctWoQrrrgCN998MwDgzjvvxNe//nWUl5ejsbER9957LwRBwIoVKwCEgp4lS5bA6/XiT3/6U0Qicn5+PgRBwOuvv46Wlhacf/75MBgMqKysxMMPP4w777xzCP888aMzGNHZdBx6swU5RSUDPyGJWSQL5fgkgF7QU+BD4k40ZcHXWg+9LYUDH3NeKHF4gMAnEHCA4wRIUtYINQyApRBw7AXyJydnUrAqh6bZxxL0tB4ALPmDCjiTSdxLj65fvz4iYXj+/PkAQvV1vve97wEAamtr0dZ2crr1sWPHsGLFCrS3tyM/Px/z5s3Djh07kJ8f+kXctWsXPv74YwDA+PGR0+WOHDmCiooKSJKEp556CrfffjsYYxg/fjwef/xx3HDDDfG+xZiYs3Ngzk6tH47+mCUz3LJ74ANJXBlFIwJqAIwxSrBNtDT65xdECYyl/yw1v78JHMdDry8c2QvrLaGiho69oeEgg21krz+QjsOh9kXD2xHKW8oZk5KJz0MOfE6v13Pffff1Sjo+XV1dXcT3A1VXXrBgwRmnpQMIF00kw88iWeCRqY7JSDOIBmhMg6IpkITkHQolJJkwxuD11kKns0OSEvThkxdCxf666oGAKznyYWR/KJHZUhB9T5TbARRMHvi4JJUai82QpGKWzPApPiiaApGnH6GRYhBCeW0+1UeBDyGnO+3DsaJ0IxhsA2MqjMYK8Mnwtyq7LDS1vfVAqOfHmoBiu4yFhgV5IbbghbHQgqwpLAl+EkiqMUuhsWCv4oVNl2TdtmnMIIYCH7/ip393QvqgaUH4fA3gOB6CYIHJNMCCy4lgzA49/M5QUjHHh6aOD/fwdcAdWlWe40JFCGNdPsPZkBw9VkNAgQ+JmkWyAAA8QQ+9AY8goxhaSJGqZieBNJrVlS5ktRtB3zGYzeMS3ZTBMWSFHqoS6oEBCy2zYcyO3zUYA7qOhq6hM8VnSYmgN/rp7kmGAh8SNZMUmrZICc4jq2eoi2r5JIE0Sm5OB3L7PsgGY3wXGx0pgngyIHE7TgRBJ+RUxNYz43aEepTAhYbX4pWA3F7b92rsKYYCHxK1cI8PJTiPKOrxIaQ3pmkIeI7CUrY00U0ZOktB6AGEijJ21QNMi/485rzIoonxlOK9PQAFPiQGFl0o8KEen5FllEKBDy0XQjJGcw0gnFjRvJ8Ced7GbTCVfHWEGzYCeCH5elcEKZQrpLckuiVDEr8lu0nG6OnxocBnZPX0+NBQF8kY+VNCybjHPw3NhAp0R+xWXPUQDLngxfitHUnOILsslDM0QHmZZEc9PiRqPTk+niANdY0kGupKIqn9dz91CGJoyCanAjj2aai6cHdLeAZUIFAPc8nFiW1jpsmfEirGWDg10S2JGQU+JGo8x1P15gQwCAZw4CjwIZlHkIDSOUD7IcCUG8ph0TQwr0qVzEcaz4eG4NprQ3lI+VFWfU4CNNRFYkKBz8jjOA56QU+BD8lMPB9KrO2Z5cTzMJvHweerS2izMpJkBOzjgOzSUC0iLYYE7ASiwIfExCpZ4Q5S4DPS9CIFPiQD+Z1A6/5QteNTFsTkOAGMsQGXNCLDRDKGglFnQ6JbEhUKfEhMzDozTWdPAINgoMCHZA5vRyipOegB8if1uQq4yVQOn+9oAhpHwFjotckpT3RLokI5PiQmFslCQ10JYBAp8CFpTgmE6tcAgDF3wBwSjhNA2eYJovhDCecphgIfEhOzZKahrgSgHh8yXDRNA88naBCAsVCwowZDicz28VGuXUWDFwmhKQAX45pfCUSBD4mJRbKgxdOS6GZkHL2oh0+mwIf0prqD4CQevF6E5lfAGwb/513QmaAFfeANI/zp3dsRegChRNk0qAqcMfwuwNMaSnJOMRT4kJhYdDTUlQgGwUCBD+kT86tgfhWaX4XmlqEbNfjquqIpC7LXCXGkAh9vR+hN02SPz8KZNNQ1smQf0N0UyrtKQdQ/SGJCOT6JYdAZ4A9S5WbSW/itX9bA66MbfhANFij+7oEPHCq/K5SsrCmhN01z3vBfk8SfaAD41O03Sd2Wk4QySzSrKxEMOgP8Pgp8MpUWVKG6ggAAXicg2OgGxwG8RQfNI4PTCwAHCCYJcosHnMBDC6rgRB5ijgGc1Pdn3WHP7VECQGcdoLemZME7cpoULxhJgQ+JiUWywCN7oGoqBD71kttSlUFvQFAOJroZZBj/7quuAORWXyhHhzFwBjF8uWCTB6bpoV4S35428FYd5CYPDHlGaB4ZvEkE86tQuvwQ80wQs0M5M4wxyMfc0AIqpAIjeKuuV7XjoLcTzmNfgudFWEviGJx42gF/V8oOi5D0Q4EPiUnPCu1exQurzprg1mQOo2REIBhIdDPIMPEf7ARvkgCNQe3yQ8w3Qcozhvcr7T6oHhlQNQg2PaTRFkhFZqhdAegnZAMM0Lwy4OQgZOnCz+M4DrrS0O+pFlChtvuhemXoy2zhY+zjz4emKvA46uJ7U77OOOXxEBIfFPiQmPSs0O6RPRT4jCCTZIJfpaGudKMFFEBlEPNNUF0BCFl6aF4ZvCGyN1UabYXa4QdEHoIt1GvD6QTwBaGFg8EBgkUHwaLr4yohvF4ArzcCbb33cbwQWn8pSowxaFoQquqGqnrA2ClLGAQboXkYBF5/yvbeXWaMKTCbx53yPUN3dw1EMQuRycs9z2Xh70XRBkIGiwIfEhOzFJr94Q66gdSrX5WyjKIRAYV6fBKO58BUBk6IfcyLySqUzgA4ngOnF0LnUjUIZglMZZAKTKHen1MIZgmCWernjNHhDAKUtlNmCHIAGKBwTni9dadsPEmWOyFJWeg9L4aB5/UQRQskKftEUcETPAEo+iK43fuRlXUOGAueCJL80DQ/GFPD545oH8eB5w0wmVKrKjBJfhT4kJj09PjQzK6RZRAN8Kt+WpE6wTieA1M1cEJs+W1M1qB0BiD19NSccHqgM5wEiw7oY8Z7Ds7r9zkejwqNKbCYJwz+QrwIQbCAgcHp3AlRtEFRXBAEE3jeAI4LBVE6nR1+fyP0+uLwz7bJVA6v9whMpjFR3RsZAZIptFwFVW4mmaInx4cCn5FlFI1gYAioARhEQ6Kbk7kEDlCjqx3DGIPqDIIpGjigV9CTCkymMWhv3wqTcQz4wU5nlozgXI0w6IvAcQI4ToLF0nfytKr64fUeBs8bYDSOOtGLZEUg2Aa9jqa+JxVbMdBem5IFDKmOD4kJ9fgkhkkMvVnSshWJxQmhHp/B0HwK5FYvlHY/BLMEKc8I8ZSE5VTCcRyMxgp4vYcH/yRbCSAZYXR7YeBs0Ovz+z1UEAwwm8dBp8tFt3sfNE2BTpcHVemGSrltJE4o8CExMUmhN2BPkGr5jCSjGHrDPOo6itquWhzrPoYOfwfUGBJSyRBwAwc+WkCF7PCCyRqkE7Oz+qujk0pMpgoEAi3QtChyzUy5oensfmeol6C99uRSFX0QBCMs5knwemtPXHMMrcBO4oaGukhMeI4PLVRKPT4jKteYC57x+OHmH0ZsFzgB2fps5BhyYDfZYTFZIEkS9KIeEi9BJ+gg8RIkQYJP9qG1uxWt3a2YXjwdN51zU4LuJnUJkgBN7j/wUd1BsICaksNZA+E4HgbDKPh8DTCbo5ymnjXq5NeN1YDOAoh9z0DjOA56fRECgVbo9fkwmSoo34fEBQU+JGZUvXnkTcqZhF9c8guInAi70Y6AGoAn6EG7vx2tvla0elrR6m3FMecxaIoGV8CFFm/kYrJ2ox12sx3tSjtaDrRQ4BMDXhSgepU+9ynOADgAoj01h7MGQ6fLg9d7GKrqhSDEGNwVf+XEiuxyqBJwTgXAC4CrCbAWARwHScqC13sEQD7l+ySjoAdgLOUqOVPgQ2JmlazoDo7A+j4kjOM4LKtYhu5gN1458Aq2NmxFZ6ATBsEAiZfQ4e9Am68NftUPgROgMhU4baKQR/GAaQyCIMDr8w7qurIsw+Vy9dkeIJS424MxBqPRCLM59WZ7DFawyw9jfnav7Uq7D5xBjNuU82QlSTaIogU+//HoZnidiuOAnBNT1TUN6DwCKH7AWgy07gOyRoeWuDhFKOCqgyqYYg+4SPwUTAFadgP5UwAhdcKJ1GkpSTpmHfX4jLQOfwfer38fj1Y9CkVT8NXRX8W0vGkIqAEE1SDOMZyDfGM+jKIRfsWPX1b9ss/zNHQ3AADMsvmMU+MZY2hvb4cgCLDb7YNup8/nQ1tbqEIez/PIyck54/R7RVHQ1dUVcUxfxzPGwBiDxWKBwTDys9pkXxBtDS3Q6XXQmfSR+xxeCDZdaKmJDGAyjUFn1ydQ9EUQxSEWMeX5yNlBplyg7SD8wVbojIWnXbcCbs9BmIzl4Pn+CzWSESBIQOG0UNCqqYAxFzAP/u9EomTGbygZFrRC+/Br9bai1lmLquYqbGvYhgOdB8L73vvOeygwFZzx+d+Z9B10+jtxoPMAPm35FDubd+KLti8ijvGr/nDSdI9gMAiXywXGGHJzcyFEWa/GaDTCaAydU1EUdHZ2RvQKnY7nedjt9kHXJuru7obb7QbHcbDZbJCk4eth0TQN7XUtUFUVgk5E0YTRvdopN3sg2tMjeXmwOE6AQV8Mv78RFsswrMOVNwHasfch6ot67bKYJ6DbvQ8W88RwHSCSIBwH5I4Nfe1pB1r2AAVTk3r4iwIfEjPK8RkeATWALUe34OUDL+PTlk8BADadDfNHz8f1066HSTJhf8f+AYMeANALehSZi1BkLsL80fMBAF7Zi+rWajxV/RQONx5GR3tHRE0gxhgkSUJeXnzyKERRRG5ublzO1cNqtcJqDfUydHZ2QlVV5ObmDssq401761E4YRREXe/gSvXI0LqDEPOM4MTMewM2GsvR1VV1oqJzTvwvkDsOcB0HTPZQL9ApLOZJcHv2w2qZHP/rktiY7YDeEsrdykneitsU+JCYWSRLr8RZErvDXYfx8sGXsbl2M5wBJ2YXzsbD8x7GjPwZGGUZBfGUgnELShfEfB2TZMIFJRfggpIL4JE94eVHUlVOTg40TYPD4UBeXh5EMX5/1mRZBlNZr6BHcQbAgip4kwSpKLX//YYiNPMqH4GAY3gCHzAgbwLQ3Qw49oV6Fk7MAuM4DiZjBbzeo7SsRTJprw29ZkmMAh8SM4vOElqri8TMr/hRebQSLx94Gbscu5Cjz8EV46/AtyZ8C2Oyhn/abqoHPT14nkdRURGam5tRUFAQt54f2R9EVkHoDZ0xBrU9tFyIYNODz9IP8OzMYDRWwOncGffZVoypJ4exrEWApTCUS8KLQHYZgFDBQ0EwQJa7IEnZcbs2iQJjoV45JQAwLfTaCMmd3E+BD4kZ5fjE7lDnIbx88GW8Xvs6XEEX5hTNwWPzH8PCsoXQCZSwGauCggI4HA4UFfXOC4mFwWSE43gHDCdeEzHXOKSFSdMNYwyBQBMkKRuq4oFPDcBoHDXwEwfB72+G/tT8np5cksZqgJeAgAvgRegBuH1fQNSXh1aXB0JvwBwf+r/eBvR8QDPnAYasuLQvYzEGdJxWuds2CpBSZwkdCnxIzCjHJzqMMbxT9w5e3PsiqlurkWvIxbcnfhtXTrgSZbayRDcvLfQkSbe2tiI/v/+lEXoEAgF4PJ5w4rXRaITJdHKadEdnBwy55lAOTxIna44Uxhj8/mNgTEFo5fZQkUGDoQQAoKreE3V3QsnPRmPsP9ea5ut71lbeRICpobWiTjCzMfB4DsFi6WPdKL8TsBSEAie3IzQUcyqOC72ZA4CoD72J02vdv6ZqoHB6Sk1fP13qtpwknEWywCN7oDENPM2sOKM2XxvWfrQW2xq24fzi8/Hrr/4aF5deDCnJu4RTkSRJsFqtcDgcA85G0+l0yM7ODg+NeTwetLa2gud5yLIMu90+rDPGUonP1wBNC8BoLAXP9z3MJwimcGVlVfXD7T7Q74KkZxIMdkDsb+hK17t+D8fx0OsL4A80w3D6LLBTe3gsBaFHf2R/794Ma3Gf18xIqgyIhpQOeoAhrtW1bt06cByH2267Lbxt48aNWLBgAWw2GziOQ1dX14Dnue+++8BxXMRj8uTITH2/349Vq1bBbrfDYrHgyiuvREtLZGJtfX09li9fDpPJhIKCAtx1111QlL6rq5KhM+tC+SGD6fWRVRl72/fizcNv4t26d1HTWpMxxQ8/PP4hrtx8Jb5o/QK/vfi3eGbJM1hSsYSCnmFkMBhQUFAAu91+xofVao3IBzKbzcjPz4fdbkdRUREFPQA0LYhu9z7odHkwm8f3G/ScThAMAKJbwb6HLHdGnS8kSdnQ1ABUdXBFOfs+iSFUT+jUh7sFaDsUSrDOZIwBjr1AfurPoos5bKuqqsKGDRswY8aMiO1erxfLli3DsmXLsGbNmkGf76yzzsKWLVtONuy0mRm33347/vGPf+Cvf/0rsrKycPPNN+Nb3/oW/v3vfwMAVFXF8uXLUVRUhA8//BBNTU249tprIUkSHn744Vhvk5yBVQpNJ3YH3bDqThYwk1UZu9t3Y2/7Xuzt2It9HftwqOsQFK13EJpvzEdFVgXG2MZgTNYYzCycibFZY3vVlUlVzoATP/3nTzE5dzJ+edEvYTcmf3EvQnoEg+2Q5c6Ypox7vUdgMMSW72MwFMPtPgCDoTiq4ogcJ8Lvb4bZPDam6/Ypd0wocdd5DOhuOZkvdDqdBbAW9r0vHbQdBArPSothwJgCH7fbjZUrV+KZZ57Bgw8+GLGvp/dn27Zt0TVEFPtNSHQ6nXj22Wfx0ksvYeHChQCA559/HlOmTMGOHTtw/vnn491338WXX36JLVu2oLCwEGeffTYeeOABrF69Gvfddx90OkoYjbee2i9+1R/eVu+qx61bb8WhrkMQeRETsidgqn0qvjXhW5iSOwXjssdBYxqOu4/jiPMIjjiPoM5Vh+rWavzt0N8Q1IIAALvBjlGWUSixlIT/PyZrDM4pPCelhtWe/vxpKJqCdReto6CHpBSvtw6CYIp+IVLglKDFEtO1BcEEi2UiPJ5D4Hn9gBWaGdPgdu+DyVQxPEtZeNtD/w90A3n9/Hv4XUBzDSCduL4hOyWqGA+K7AuVEeCjK2SarGIKfFatWoXly5dj8eLFvQKfWB08eBAlJSUwGAyYO3cuHnnkEZSVhRLjdu7cCVmWsXjx4vDxkydPRllZGT766COcf/75+OijjzB9+nQUFp6MuJcuXYof/ehH2LNnD2bOnNnrmoFAAIFAIPx9X2sRkf7pTvwxCqpBOANO/O3Q37Dh8w3INebij5f+EdPs0/odzsnSZ2GqfWrEtqAaxBetX6DR04jj3cdx3H0cjZ5G1LTVoNnTDJWpmJQzCc8tew42nW3Y72+oartqsWnfJtwy6xbkGWlRRZIaVDUAn68ORmMZBCH6ntfQCuoVcVlOwmQaB5+vbsAV2RXFCYNh1PCt32UrGfgYg+1ExWI+1Cvi7QBa94fWHNOlcNkIT1voUZD6Q1w9og58Nm3ahF27dqGqqipujZgzZw5eeOEFTJo0CU1NTVi7di0uuugi7N69G1arFc3NzeEkxFMVFhaiuTk07trc3BwR9PTs79nXl0ceeQRr166N231kmp5p1z/d/lM0uhuhMAXLxyzHT8/7aUyBiU7QYXbR7D73yZqMqqYq/GDLD7CzeScuLrs4vF3iky8PgzGGx6oeQ4mlBFdPuTrRzSGkX7LcBVnuRGiWFgPAx7wERc/suHitoRXK+RQGrAwtCJYTRRQTPFX91B4RU27o0XogVNtGMgBKEPC0hhZj1VvPnGidaH5naBacISutgh4gysCnoaEBt956KyorK+O6QOCll14a/nrGjBmYM2cOysvL8Ze//AXXX3993K5zujVr1uCOO+4If+9yuVBaWjps10s3pdZSLCxdCIvOgm9N+BaWj10+bD0bEi9hbslcmEQT6lx1AID1n6/HU9VP4fJxl+Oe8++JWHYh0f55/J/4d+O/8duLf0t1eUhS8nrrwJgGScqG0VgRl+n6PT1F8WQ0liEQaIHHUwu9vrDP4TOel05MsU9C+RNDydF540OF/gxZQNYooLMuFFwkW10hxoDWfaGhuiSvwByrqAKfnTt3wuFwYNasWeFtqqpi+/btePLJJxEIBKJezLAv2dnZmDhxIg4dOgQAKCoqQjAYRFdXV0SvT0tLSzgvqKioCJ988knEeXpmffWXO6TX66HXU/XVWJkkE3638Hcjdj2O4zAmawxqu0J1OHyKDwDwbt27qGquwo++8iNcPu5yCAkeh5ZVGY9VPYY5xXOwsHRhQttCyOkUxQ2//zhMpjFxX92cMQ0cF//fP72+EHp9Ifz+JgQCzTAYSiEIp//tjm0G2bDzdQJdR0NVp4FQMGHKBXIqQrOkki3w6awD7OOTvvryUESVJbpo0SLU1NSguro6/Jg9ezZWrlyJ6urquAQ9QCh5ura2FsXFoQJV55xzDiRJwnvvvRc+Zv/+/aivr8fcuXMBAHPnzkVNTQ0cDkf4mMrKSthsNkydGplLQlLXuOxx4cCn1FoKnuPxp8v+hOl50/GLD3+BW7feCo1pCW3jS/teQn13PX567k+p6B1JKrLsRDDYBotlUtyDnkDAAb1+eIduDIZimM3jEQg0IhBoPW1vkgY+vBiaGWYrASZcEqqF0yMZe4OZltZBDxBl4GO1WjFt2rSIh9lsht1ux7Rp0wCE8mmqq6vDvTU9gVJHR0f4PIsWLcKTTz4Z/v7OO+/EBx98gLq6Onz44Ye44oorIAgCVqxYAQDIysrC9ddfjzvuuANbt27Fzp07cd1112Hu3Lk4//zzAQBLlizB1KlTcc011+Dzzz/HO++8g5///OdYtWoV9eqkkQnZE1DrrIXGNEyxT4HGNPgUH3694Nd4dP6j+ODYB9jRtCNh7ev0d2LD5xvwnYnfwcSc6Au3ETJcZNkJWe6CyVQxLOdXVU9UU8+HwmQaA47j4PGcLDbI83ooShJWktdbQ0ttWAoBTzuQVRpavRw4WTE6Wci+UKCW5uI+L3j9+vWYOXMmbrjhBgDA/PnzMXPmTGzevDl8TG1tLdra2sLfHzt2DCtWrMCkSZNw1VVXwW63Y8eOHREl53/zm9/ga1/7Gq688krMnz8fRUVFePXVV8P7BUHAG2+8AUEQMHfuXFx99dW49tprcf/998f7FkkCjcseB5/iQ6O7ERNzJkLkROzv2A8AuKT8EpxlPwtPVT8FANjXsQ+3b70dv6r6FTr9ncPetk5/J56peQY+1Yebzr5p2K9HyGApiudE0JM+q5jrdHkwGkfD7d4PVQ3AYChBINCU6Gb1z5wXGvaSDEDQE1o6I9kWee6sA3LS52ekPxxjyRZyJo7L5UJWVhacTidstuSfLp2Jmj3NuOTlS/C9s74HnuOxad8mXD31avx45o8BAG8efhOr/7ka7175Lt5veB/rPlkHo2iEWTLjwQsfxIWjLhyWdimagiv+fgXqXHW4uPRiPLHwiWG5DiGx8HhqYTb3sY5VnMhyFxjToNPlDts1zsTjOXRiCKwFgmCOuX7QsGuvDVWDTkbttaHhOCk1i8dG8/6dOpXgCAFQaCpEua0cL+x5Ac/tfg4MDKMto8P7ZxWGEu8/bfkUMwtCtZv+67z/wqScSVj13iq8U/fOsLTrH4f/gTpXHZ5f+jweX/D4sFyDkFiEEo6H90+9LHcmLOgBQguiMqZBry9EMHh67g8ZFJ05VHsoA1DgQ1IKx3H47yX/jSsnXAkAmJgzEfpTZncUmYsws2Am3jryFqbkTkGRuQhftn+JpxY9haUVS7F6+2pUHq2Ma5sUTcGGLzZgYelCzC6aDTEDxshJ6vD7m2JeOmKwWIInFBgMpfD7jye0DYMiSKGFUJMJY6HeHr9zcIUa0wAFPiTl/P6z3+OVg68AAD5v/Rz3fngvVE0N719WsQwfNn6Idn87vjb2a3jzyJvQmIaH5j2EJeVL8NMPfor3jr7X3+mj9pNtP0FDdwMWly8e+GBCRhhjwbjP4DpVMNiR8MKBPC+G6/iIog2y7Exoe/plyA6t/i77hu8abkcokGmvPZlE3edxraFj2g4A2eVA/qS0WIdrMCjwISmnwFSAAlMBar5bg/9e8t/wq34cdR0N719cvhgqU/H2kbexuHwxuoPdqGmrgciLePiih7GofBHu/OBOvFcfn+Dn/Yb3AYQCLkIyjaI4oYtyJfXhwhiDTmeHLCfpkI3BBhRODS146oxzD5Uqh+oCCdLJleXN+aHiiW0HQ8tn9ARE7bUnj8ufBAiZ1UtNgQ9JOeW2cji8DnhlLybnhkqp7+3YG95fYCpAibkENW01mJwzGVbJis21oVmFIi9i3UXrsLBsIe7Ydgf+UP2HPleNj0aOPge3zLyl33XJCEmUkZm7khy9BKJog6om2Syp/uRNCBUubDsYCkxcQ5yN1nog1LuTPxkwnrK0h2QMVYzOmxAqmNgTENnHAcbsoV0zhWVWmEfSQoWtAgBw1HUUU+xTUGIuwb6OfVg+dnn4mIVlC/F23dsAgOVjl6PyaCUYY+A4DiIv4tH5j+KZmmfw9OdPY0fTDqy7aB1KLNGPbyuagq5AF628TpKSz1cPgyEz8jbYKQUMJSkXwWBb0vRE9UlvAfQnloQIuEMBUM9Qk6ALrfLu7wp9z3Ena/7ozKGFUAPdoW0cFwpqxAGGM0WqZ9eDenxIyhmTFVqpuWfNrnHZ41DnrIs4ZmnFUrT52rDLsQsLyxai3d+OT1s+De8XeAE//MoP8cKyF9DiacG3N387HCgN1h/3/BEr31wJBoZcQ+JmtBDSH72+AH7/8NW2CQbbRqxo4UBUpRuCEJrGLklZUJTuBLcoCnpLqGempzfGUgDwfKjwoX3cyf/bxwE6CyAaQl/3PGegoIdEoMCHpJwsfRZy9DnhYKfUWor67sgkvq/kfwXF5mK8U/cOzi8+HyIv4t/H/93rXDMLZuKvl/8VF466EHd9cBfu/fBeeGXvoNqxp31PKKm5bDGm500f8n0REm+CYATHiVDV+CbTMsbg8dSCMRU6XbL0dnLps0SMqA8NWfV1P3pLKFeIxIwCH5KSKrIqwj0+ZbYyHOs+FrFGF8dxWFK+BJVHK6EyFVeMvwL/OPKPPtfxsulseHT+o7j/gvvx1pG38P+98f9hb/veXsedbpRlFIyCEb+5+Dc01EWSltE4Oq69PorihsdzEEZjOfT6wridN/7SJAgicUeBD0lJFbaTgU+ptRRBLQiH1xFxzLIxy9Dh78DOlp34+rivo9nTjC9av+jzfBzH4YoJV+D/vvZ/MIpGrHxzJf6454/9JofKmowvWr+AQTTE9b4IGQ5D7QlRVT+83iPweusQDLbDYpkIPonqVYV+TyN/VwXBCFUdXO8tySwU+JCUVJFVgTpnHRhjKLWWAgAauhsijjnLfhZGWUbh7bq3MSNvBqw6Kz5s/PCM5x2TNQZ/uuxPWDF5BR779DH84fM/RAQ/jDF8ePxDrPzHSuxs2YmfzflZ/G+OkDiTpBwEg+1RP0/TFHg8tQgGW2EyjYHJVJGU630Fg45evU86XQECgZYEtYgkMwp8SEqqsFXAq3jR6mvFKMso8ByPI84jEcdwHIelFUux5egWMDCcX3w+th/bPuC5dYIOd517F26ddSvWf74ej1Y9Gl4F/rp3rsMPtvwAIi/ify/7X1ww6oLhukVC4kaSsqEorkEfrygeeDyH4fcfg8k0FkZj6TC2buhU1QtBMEVsS5t8HxJ3FPiQlFSRVQEAqHPWQSfoMDZrLPZ17Ot13NKKpegKdOGTpk8wb9Q87Gnf02sGWH++P/37uHvO3Xhx74v42b9+hjZvG3a27MSiskV48bIXMS1vWhzviJDhdaZlJRhjCARaTgxnHYGidsNsHguTqSLlAwhah5ucLnkGaQmJQqmlFAInoM5Vh/OKz8OE7AnhnJ9TTcmdglJrKd45+g5+eu5P8cCOB/Dvxn+HA6eBrJi8Atn6bNz9r7vR6e8EANS01aT8mwHJPAZDCTyeWnCc0Od+vb4wyZOVz6Tv30edrqDPYTCS2ajHh6QkSZAw2jo6PLw12joa9a7e69JwHIdlFcuw5egW6AQdzi08F2/UvhHVp8BLx1yKpxY+herWaoiciG+M+0bc7oOQkSIIRpjN407k6fR+CIIx0U2MO1E0U4Iz6YUCH5KyTp3ZVWYrQ4u3BX6l98rHC8sWwhV0YWv9VpxbdC52t+/Ggc4DUV3rglEX4N1vv4st39mCW2bdEo/mE0Lipu8en0SvGk+SEwU+JGWV28ojihgCwHF374X/zrKfhSJzETbXbsZ3Jn4HAPDBsQ+ivp5NZ6N6PYQkpb4DnFC9obIRbgtJdhT4kJRVkVWBRk8jgmoQZdbQH7f+hru+Of6b2H5sO0ySCQtGL4gp8CGEJKfTh65V1Qu3ez+MxrJ+c5pI5qLAh6SsClsFNKahobsBecY8GEVjr6UreiwtXwoGhv/b/3+4bOxl+KL1CzS4Gvo8lhCSWgyGEni9dZBlJ9yeg5BlJyyWSWmZt0SGjgIfkrLCi5U668BxHEZbR/cqYthjfM54FJgK8EnzJ1hQugAm0RT1oqSEkOQkCAaIogXBYCss5gkwGIoT3SSSxCjwISnLbrDDIllwxBWa2VVuLe9zSnuP6866DtsatuHRqkfhVbz9Ll9BCEk9Ol0ezObxiW4GSQEU+JCUxXFcaGbXiQTniTkTcaDjQL9T1ZdWLMXEnInY1bIL5xadi+Xjlo9gawkhhCQDKmBIUtqpq7RPyp2EzkAnHF4HCs29C5blm/LxyuWvjHALCSGEJBMKfEhKq7BV4I3Db2D6/0wPb3PLbhSCKrUSQgjpjYa6SEq7dMyl4ansAHDHOXegwlaRuAYRQghJahT4kJRWZiuLGL66btp1EHiq20EIIaRvFPiQlGcQDYluAiGEkBRBgQ9JKz7Fl+gmEEIISWIU+JC0MC5rHADgWPexBLeEEEJIMqPAh6SFC0ZdAAD9LllBCCGEABT4kDQxs2AmAFA1ZkIIIWdEgQ9JCz1T2j9zfJbglhBCCElmVMCQpIWxWWNx+bjLsaxiWaKbQgghJIlR4EPSgiRIeGjeQ4luBiGEkCRHQ12EEEIIyRgU+BBCCCEkY1DgQwghhJCMMaTAZ926deA4Drfddlt428aNG7FgwQLYbDZwHIeurq4hn7Ourg4cx/X5+Otf/xo+rq/9mzZtGsotEkIIISSNxBz4VFVVYcOGDZgxY0bEdq/Xi2XLluHuu++O2zlLS0vR1NQU8Vi7di0sFgsuvfTSiGOff/75iOO++c1vRt0OQgghhKSnmGZ1ud1urFy5Es888wwefPDBiH09PTXbtm2L2zkFQUBRUVHEttdeew1XXXUVLBZLxPbs7OxexxJCCCGEADH2+KxatQrLly/H4sWL49aQaM65c+dOVFdX4/rrr+/zPHl5eTjvvPPw3HPPgTHW73kCgQBcLlfEgxBCCCHpK+oen02bNmHXrl2oqqqKWyOiPeezzz6LKVOm4IILLojYfv/992PhwoUwmUx49913cdNNN8HtduOWW27p8zyPPPII1q5dO+T2E0IIISQ1RBX4NDQ04NZbb0VlZSUMBkNcGhDtOX0+H1566SXcc889vfadum3mzJnweDx47LHH+g181qxZgzvuuCP8vcvlQmlpaQx3QQghhJBUENVQ186dO+FwODBr1iyIoghRFPHBBx/giSeegCiKUFU16gZEe86XX34ZXq8X11577YDnnjNnDo4dO4ZAINDnfr1eD5vNFvEghBBCSPqKqsdn0aJFqKmpidh23XXXYfLkyVi9ejUEQYi6AdGe89lnn8Xll1+O/Pz8Ac9dXV2NnJwc6PX6qNtFCCGEkPQTVeBjtVoxbdq0iG1msxl2uz28vbm5Gc3NzTh06BAAoKamBlarFWVlZcjNzQUQCnauuOIK3HzzzYM6Z49Dhw5h+/btePPNN3u17fXXX0dLSwvOP/98GAwGVFZW4uGHH8add94ZzS0SQgghJI3FfZHS9evXRyQMz58/H0Covs73vvc9AEBtbS3a2tqiPvdzzz2H0aNHY8mSJb32SZKEp556CrfffjsYYxg/fjwef/xx3HDDDbHdCCGEEELSDsfONN87w7hcLmRlZcHpdFK+DyGEEJIionn/prW6CCGEEJIxKPAhhBBCSMagwIcQQgghGYMCH0IIIYRkDAp8CCGEEJIxKPAhhBBCSMagwIcQQgghGYMCH0IIIYRkDAp8CCGEEJIxKPAhhBBCSMagwIcQQgghGYMCH0IIIYRkDAp8CCGEkBg4XH58eKgNbe5AoptCoiAmugGEEEJIqvAGFbz+eSNe+qQBnzd0AQCKswx49aYLUJxlTGzjyKBQjw8hhBByBoqqYfdxJ/53x1Es/e12/NerNcgxSfj9ipl47aYLwHMcvvvcJ2jo8Ca6qWQQOMYYS3QjkoXL5UJWVhacTidsNluim0MIISQJLH/in9jT6ILAcxiVbcSGa87BlOKT7xGHHN343vNV6PAEcdOCcfj+RWNhkIQEtjjzRPP+TUNdhBBCMtaHh9rw/j4Hci06XHN+OawGqdcxPlnF9FFZ+OsP5/YZ0IwvsOLNWy/CE1sO4rdbDqLJ6cdDV0wfieaTGFDgQwghJCM98uZebNh+GKNzjGhzB/DqruNYdfE4+GUN543Jxbb9rXizpglH2jyYVpJ1xl4cm0HCz782Fa/sOoaDLW44uv0osBpG8G7IYNFQ1yloqIsQQjLDpk/q8V+v1uBnl03B9y8ag4MON/5j4w50eIIRxy2eUoglUwtxydRC5Jh1A573pY/r8dg7+8BzHK6/aAx+MH8cBJ4brtsgJ0Tz/k2Bzyko8CGEkMxw5dMforbVjY/vXgS9GOrJ8csqAooGxhh+/rfd0Ik8Hr/q7KjP3eYO4Ffv7Mdfdx7DJVMK8fTVs8BxFPwMp2jev2lWFyGEkIxz++KJ8AZUPPLmvvA2gyQgyygh26TDk/85K6agBwDyLHqsu3IGrpg5Cm/vaYajm+r8JBMKfAghhKQ9p0/GXz9twD8PtsLh8uNIuwdBVcOfP6lHvAc+ZFXDo2/vwyu7jmH59GIUWPVxPT8ZGkpuJoQQkrL8soq/fNqAI20e5Fn0+OFXQzk1flnFlr0t+PnfdsNqEKGqDI1Of/h5As8h16xDnkWH410+jM4xxaU9x7t8uPmlXag55sRPl07GD+aPpWGuJEOBDyGEkJSjaQxVdR34zZYD+LSuE+V2E+ravfj4SAdUTUPVkU4E1dDsLEngsPu4C+uvngVHdwDrt9Wi0elHhyeIDk8Q8365FfseWBaX2jsPvP4lPqvvwtrLz8J3L6gY+o2SuKPAhxBCSErZcbgd/7FxB4DQchEvfn8O5oy14/19Lbjzr19gfIEFay6bjHMrcjEq24htBxzINjlwy6ZqBBUt4lx5Fj1WXTwOejE+mR//cV4pDji6ce/mPdi634EfL5yAc8pz4nJuEh80q+sUNKuLEEKS3+R73oJf1nD74on48cLx4E+ZLs4YQ22rB+/tbcF7ex349GgHtNPe5SYXWfG1GcW4bHoxxuZb4t4+VWP4R00Tfv/eQRx0uDFvfB5uWTQB543Jjfu1SAhVbiaEEJK2/r5qHpb+djtUxsDzHGRVQ1VdB97b68B7e1tQ1+6FQeIxb3weHrpiOhZOLsDv3z+IP+2ox5+un4N5E/KGtX0Cz+Hyr5Tga9OL8faeZtz04i7861AbttzxVYwviH+gRaJDgQ8hhJCUMqnIilUXj8P6bbWodbix/WAruv0KCm16LJxciHu+VoALx+dF5OzctXQyKr9swbP/OowLx9tHJOGY5zlcNr0Yl00vwps1zSjNpdXbkwEFPoQQQlLOjxdOwAcHWlHf4cX188Zg8ZRCnFVi6zegyTJKePiK6bj+fz7FK7uO49vnjAZjDF82uSDyPCYVWYetre6Aiosm5IULJZLEosCHEEJIyjFIAt748UVRPWfRlEJ8a+Yo3P/6HlQ3dOL9vQ40Ov2w6EW8e/t8lGTHv0cmoKioOtKB2y+ZEPdzk9hQAUNCCCEZ4xdfnwqLXsS2/a1YclYRnv3ubJj1An72Wk3cCxkCwOcNTvhkFXPHDm9eERk86vEhhBCSMbJNOmz/6cUQeC48LPYgA27446d47bPj+Nas0XG93o7D7bAZREwtoZnCyYJ6fAghhGQUUeAjcoEumVqIb5xdgrWvfwlHt/8Mz4zejsPtOG+MnVZoTyIU+BBCCMloiqph2VlFcPpkrDtl0dJoBRUNTp8cHjILKCp2Hu3E+WOpfk8yoaEuQgghGes3lQfwu/cOAgAKrPqoh6Ta3QFs3d+K9/a24J8H2+AOKNCJPPItelgNIgKKhvPH2oej6SRGFPgQQgjJWPubuwEAL35/DuaOtUdUge4LYwz7W7rDxRI/a+gCAJxdmo0ffnUsKvLMaOsOoNUdQGt3AOdW5GJKMeX3JBMKfAghhGSse74+Ff882Io3vmjCheP7nnnll1XsONyO9/c58N5eB453+WDWCbhoQj4evXIGFkwqQL5VP8ItJ7EaUo7PunXrwHEcbrvttvC2jRs3YsGCBbDZQoWkurq6hnxOAFiwYAE4jot4/PCHP4w4pr6+HsuXL4fJZEJBQQHuuusuKIoS490RQghJd6Oyjfivy6bgz5/U48PatvB2R7cff6lqwI1//BSzHqjE956vwnt7HVg8pQB//H/nYdcvLsH6a87Bd2aXUtCTYmLu8amqqsKGDRswY8aMiO1erxfLli3DsmXLsGbNmrics8cNN9yA+++/P/y9yWQKf62qKpYvX46ioiJ8+OGHaGpqwrXXXgtJkvDwww9H1Q5CCCGZY+V5ZXj980b81ys1+PY5o/HePgc+b+gCxwGzynJw88LxWDS5EBMLLSOy1AUZXjEFPm63GytXrsQzzzyDBx98MGJfT0/Ntm3b4nbOHiaTCUVFRX3ue/fdd/Hll19iy5YtKCwsxNlnn40HHngAq1evxn333QedThdVewghhGQGnufwyytn4LLf/RMbtx/G/Il5uPb8r2DBpHzYLdSbk25iGupatWoVli9fjsWLF8etIYM554svvoi8vDxMmzYNa9asgdfrDe/76KOPMH36dBQWFoa3LV26FC6XC3v27OnzfIFAAC6XK+JBCCEk84zJM+Ofqy/GrnsuwR9WnoMrzxlNQU+airrHZ9OmTdi1axeqqqri1ojBnPM///M/UV5ejpKSEnzxxRdYvXo19u/fj1dffRUA0NzcHBH0AAh/39zc3Oc5H3nkEaxduzZOd0EIISSV5VGgkxGiCnwaGhpw6623orKyEgaDIS4NGOw5b7zxxvDX06dPR3FxMRYtWoTa2lqMGzcupmuvWbMGd9xxR/h7l8uF0tLSmM5FCCGEkOQX1VDXzp074XA4MGvWLIiiCFEU8cEHH+CJJ56AKIpQVTXqBsR6zjlz5gAADh06BAAoKipCS0tLxDE93/eXF6TX62Gz2SIehBBCCElfUfX4LFq0CDU1NRHbrrvuOkyePBmrV6+GIAhRNyDWc1ZXVwMAiouLAQBz587FQw89BIfDgYKCAgBAZWUlbDYbpk6dGnW7CCGEEJJ+ogp8rFYrpk2bFrHNbDbDbreHtzc3N6O5uTncE1NTUwOr1YqysjLk5obWK1m0aBGuuOIK3HzzzYM6Z21tLV566SVcdtllsNvt+OKLL3D77bdj/vz54anvS5YswdSpU3HNNdfg0UcfRXNzM37+859j1apV0Otp3JYQQgghw7BI6fr16zFz5kzccMMNAID58+dj5syZ2Lx5c/iY2tpatLW19XeKXnQ6HbZs2YIlS5Zg8uTJ+MlPfoIrr7wSr7/+evgYQRDwxhtvQBAEzJ07F1dffTWuvfbaiLo/hBBCCMlsHOtZRpbA5XIhKysLTqeT8n0IIYSQFBHN+3fce3wIIYQQQpIVBT6EEEIIyRgU+BBCCCEkY1DgQwghhJCMQYEPIYQQQjIGBT6EEEIIyRgU+BBCCCEkY0S9Ons66ylp5HK5EtwSQgghhAxWz/v2YEoTUuBziu7ubgCgFdoJIYSQFNTd3Y2srKwzHkOVm0+haRoaGxthtVrBcVyim5MyXC4XSktL0dDQQBWvkxy9VqmDXqvUQa9V4jHG0N3djZKSEvD8mbN4qMfnFDzPY/To0YluRsqy2Wz0S58i6LVKHfRapQ56rRJroJ6eHpTcTAghhJCMQYEPIYQQQjIGBT5kyPR6Pe69917o9fpEN4UMgF6r1EGvVeqg1yq1UHIzIYQQQjIG9fgQQgghJGNQ4EMIIYSQjEGBDyGEEEIyBgU+hBBCCMkYFPiQXg4cOIBvfOMbyMvLg81mw7x587B169bw/s8//xwrVqxAaWkpjEYjpkyZgt/97ndDPi8AcBzX67Fp06a432O6SORrVV9fj+XLl8NkMqGgoAB33XUXFEWJ+z2mi+F4rbZt29bn7wzHcaiqqgIA1NXV9bl/x44dw3q/qSxRrxUAfPHFF7joootgMBhQWlqKRx99dNjuM2MxQk4zYcIEdtlll7HPP/+cHThwgN10003MZDKxpqYmxhhjzz77LLvlllvYtm3bWG1tLfvf//1fZjQa2e9///shnZcxxgCw559/njU1NYUfPp9vWO83lSXqtVIUhU2bNo0tXryYffbZZ+zNN99keXl5bM2aNcN+z6lqOF6rQCAQ8bvS1NTEvv/977MxY8YwTdMYY4wdOXKEAWBbtmyJOC4YDI7IfaeiRL1WTqeTFRYWspUrV7Ldu3ezP//5z8xoNLINGzaMyH1nCgp8SITW1lYGgG3fvj28zeVyMQCssrKy3+fddNNN7OKLLx7yeQGw1157bWg3kSES+Vq9+eabjOd51tzcHD7m6aefZjabjQUCgaHcVloartfqdMFgkOXn57P7778/vK0n8Pnss89ianumSeRr9Yc//IHl5ORE/A6tXr2aTZo0Kcq7IGdCQ10kgt1ux6RJk/DHP/4RHo8HiqJgw4YNKCgowDnnnNPv85xOJ3Jzc+Ny3lWrViEvLw/nnXcennvuOTAqNdWnRL5WH330EaZPn47CwsLw85YuXQqXy4U9e/bE7ybTxHC9VqfbvHkz2tvbcd111/Xad/nll6OgoADz5s3D5s2bY7qPTJDI1+qjjz7C/PnzodPpwtuWLl2K/fv3o7OzM7YbIr0lOvIiyaehoYGdc845jOM4JggCKy4uZrt27er3+H//+99MFEX2zjvvDPm8999/P/vXv/7Fdu3axdatW8f0ej373e9+F5f7SkeJeq1uuOEGtmTJkojneDweBoC9+eabQ7upNDVcr9WpLr30UnbppZdGbGttbWW//vWv2Y4dO9gnn3zCVq9ezTiOY3//+99jvpd0l6jX6pJLLmE33nhjxLY9e/YwAOzLL7+M7iZIvyjwyRCrV69mAM742Lt3L9M0jV1++eXs0ksvZf/617/Yzp072Y9+9CM2atQo1tjY2Ou8NTU1LC8vjz3wwANnvH605+1xzz33sNGjRw/5/lNJKrxWFPiEJPq1OlVDQwPjeZ69/PLLAx57zTXXsHnz5kV1r6kuFV4rCnxGBgU+GcLhcLC9e/ee8REIBNiWLVsYz/PM6XRGPH/8+PHskUceidi2Z88eVlBQwO6+++4Brx/NeU/1xhtvMADM7/dHcbepLRVeq3vuuYd95Stfidh/+PBhBuCMn4zTTaJfq1Pdf//9LD8/f1BJy08++SQrKiqK6vypLhVeq2uuuYZ94xvfiNj2/vvvMwCso6MjqmuQ/onDOIpGkkh+fj7y8/MHPM7r9QIAeD4y/YvneWiaFv5+z549WLhwIb773e/ioYceitt5T1ddXY2cnJyMWvwvFV6ruXPn4qGHHoLD4UBBQQEAoLKyEjabDVOnTh3wGuki0a9VD8YYnn/+eVx77bWQJGnA46urq1FcXDzo86eDVHit5s6di5/97GeQZTm8r7KyEpMmTUJOTs6gr0EGkOjIiySX1tZWZrfb2be+9S1WXV3N9u/fz+68804mSRKrrq5mjIW6dvPz89nVV18dMTXT4XCEz/Pxxx+zSZMmsWPHjg36vJs3b2bPPPMMq6mpYQcPHmR/+MMfmMlkYr/4xS9G/h8iBSTyteqZzr5kyRJWXV3N3n77bZafn0/T2fsxXK9Vjy1btoSHak73wgsvsJdeeincq/HQQw8xnufZc889N7w3naIS+Vp1dXWxwsJCds0117Ddu3ezTZs2MZPJRNPZ44wCH9JLVVUVW7JkCcvNzWVWq5Wdf/75EXkb9957b5/j4+Xl5eFjtm7dygCwI0eODPq8b731Fjv77LOZxWJhZrOZfeUrX2Hr169nqqqOxG2npES9VowxVldXxy699FJmNBpZXl4e+8lPfsJkWR7uW05Zw/VaMcbYihUr2AUXXNDndV944QU2ZcoUZjKZmM1mY+eddx7761//Ohy3mDYS9Voxxtjnn3/O5s2bx/R6PRs1ahRbt25dvG8v43GM0VxhQgghhGQGquNDCCGEkIxBgQ8hhBBCMgYFPoQQQgjJGBT4EEIIISRjUOBDCCGEkIxBgQ8hhBBCMgYFPoQQQgjJGBT4EEIIISRjUOBDCCGEkIxBgQ8hhBBCMgYFPoQQQgjJGBT4EEIIISRj/P+gQMvI2VpRYgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now force surrounds in Danbury-Marblehead area.  \")\n",
    "cList = [21,61]\n",
    "cSurrounded = [  [ 34 ],  [ 13, 15, 16, 21, 25, 26, 35  ]  ]\n",
    "cSurrounders =  [2, 20]\n",
    "for i,c in enumerate(cList):\n",
    "    plotPoly(fusedGeoms[c][cSurrounders[i]])\n",
    "    for idx in cSurrounded[i]:\n",
    "        plotPoly(fusedGeoms[c][idx],0.1)\n",
    "        sIdx = cSurrounders[i]\n",
    "        isWiped[c][idx] = True\n",
    "        fusedPops[c][sIdx] += fusedPops[c][idx]\n",
    "        fusedPops[c][idx] = 0\n",
    "        if c != 21:  #For county 21, dissolve island; do not fuse to prevent false cross-county connection\n",
    "            fusedGeoms[c][sIdx] = fusedGeoms[c][sIdx].union(fusedGeoms[c][idx])\n",
    "        surroundedVTDs.append(idx)\n",
    "        surrounders.append(   sIdx)\n",
    "        for ijk, v in enumerate(surroundedVTDs): #update surrounds of surrounds\n",
    "            if surrounders[ijk] == idx:\n",
    "                surrounders[ijk] = sIdx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4c2a624f-4309-48df-a202-49d44d6c0330",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for v in [5881,5882,5883,5884]:\n",
    "    plotPoly(tractGeom[v])\n",
    "plotCenter(5882,tractGeom[5882])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "09861939-4473-4c67-8a4d-fe086fed64a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "sdedLists = [ [5881,5883, 5884]] #[ [1006, 925, 926, 927, 928, 935, 937, 986, 988], [3739] ] \n",
    "sders = [5882 ]  #[933, 3622]  #done in above loop instead"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "fd6434ce-3e04-42d7-aaef-3d8c0d209852",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "list1 = [334,343]\n",
    "list2 = [312]\n",
    "for v in list1:\n",
    "    plotPoly(fragVTDgeom[v],0.1)\n",
    "for v in list2:\n",
    "    plotPoly(fragVTDgeom[v])\n",
    "#plotPoly(countyGeom[countyNo[v]])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "71d771f8-dbe2-48f9-a702-9f66a62d1174",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now capture all remaining surrounds, convert to units ...\n",
      "looking for surrounds in county 0\n",
      "looking for surrounds in county 10\n",
      "looking for surrounds in county 20\n",
      "looking for surrounds in county 30\n",
      "looking for surrounds in county 40\n",
      "looking for surrounds in county 50\n",
      "looking for surrounds in county 70\n",
      "looking for surrounds in county 80\n",
      "special for OH , I believe that [334, 343] are surrounded by vtd (fragment) 312 . Here, let me show you\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the surrounding operation 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "special for OH , I believe that [5881, 5883, 5884] are surrounded by vtd (fragment) 5882 . Here, let me show you\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the surrounding operation 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING. unsurrounded vtd frag 3739 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 9339 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 925 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 927 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 928 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 935 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 986 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 988 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 1006 had no found neighbors\n",
      "After surround checks, we appear to have 6616 building blocks defined. We captured 3151 surrounded VTDs\n",
      "working on unit neighbor lists for county 0\n",
      "WARNING - unit 152  = vtd 2752 in county 6 has only 1 neighbor= [174] . Optional triage in next block\n",
      "working on unit neighbor lists for county 20\n",
      "working on unit neighbor lists for county 40\n",
      "working on unit neighbor lists for county 60\n",
      "WARNING - unit 5246  = vtd 933 in county 61 has only 1 neighbor= [5249] . Optional triage in next block\n",
      "working on unit neighbor lists for county 80\n",
      "All done creating unit lists\n"
     ]
    }
   ],
   "source": [
    "print(\"now capture all remaining surrounds, convert to units ...\")\n",
    "\n",
    "debugV = -9999 #update to look closely at a vtdFrag\n",
    "for c in nonunitCounties:\n",
    "    if c % 10 == 0:\n",
    "        print(\"looking for surrounds in county\",c)\n",
    "    for kk, v in enumerate(countyFragVTDs[c]):\n",
    "        if not isWiped[c][kk]:\n",
    "            for nn, vv in enumerate(countyFragVTDs[c]) :\n",
    "                if not isWiped[c][nn] and vv != v :\n",
    "                    if isRookAdj(fusedGeoms[c][kk], fusedGeoms[c][nn] ) :\n",
    "                        nVTDneighbors[v] +=1\n",
    "                        lastVTDneighbor[v] = vv\n",
    "\n",
    "            if nVTDneighbors[v] < 4:  #OK if a vtd has only 1 intracounty neighbor IF it touches another county, it's not surrounded\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if isRookAdj(fusedGeoms[c][kk], countyGeom[cc]):\n",
    "                        if cc in nonunitCounties :\n",
    "                            for jj,vv in enumerate(countyFragVTDs[cc]) :\n",
    "                                if isRookAdj(fusedGeoms[c][kk], fusedGeoms[cc][jj] ):\n",
    "                                    nVTDneighbors[v] +=1\n",
    "                                    lastVTDneighbor[v] = vv\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                print(\"WARNING. vtd frag\",v,\"in county\",c,\"intersected county\",cc,\"but had no intracounty neighbors\")\n",
    "                                plotPoly(fusedGeoms[c][kk],2)\n",
    "                                plotCenter(\"iso\",fusedGeoms[c][kk])\n",
    "                                plotPoly(countyGeom[c])\n",
    "                                plotPoly(countyGeom[cc],0.2)\n",
    "                                plotCenter(cc, countyGeom[cc])\n",
    "                                plt.show()\n",
    "                        else:\n",
    "                            nVTDneighbors[v] +=1\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                if STATE == \"TN\":  #for TN, we tolerate some discontiguous counties\n",
    "                                    print(\"vtd fragment\",v,\"with no neighbors in its county\",countyNo[parentVTDno[v]],\n",
    "                                          \"borders a unit or fused county\",cc)\n",
    "                                else:\n",
    "                                    raise Exception(\"ERROR! Neighborless vtd fragment\",v,\"neighbors a unit or fused county\",cc)                                \n",
    "        if v == debugV:\n",
    "            print(v,\"has\",nVTDneighbors[v],\"neighbors.  its last is\",lastVTDneighbor[v])\n",
    "                \n",
    "for loop in range(3): #to catch surrounds of surrounds\n",
    "    for c in nonunitCounties:\n",
    "        for kk,v in enumerate(countyFragVTDs[c]):\n",
    "            if nVTDneighbors[v] == 1 and not isWiped[c][kk]:  #2nd condition should never trigger\n",
    "                vv = lastVTDneighbor[v]\n",
    "                if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                    for sNo, s in enumerate(surroundedVTDs):\n",
    "                        if surrounders[sNo] == v:\n",
    "                            surrounders[sNo] = vv\n",
    "                surroundedVTDs.append(v)\n",
    "                surrounders.append(vv)\n",
    "                surrK = countyFragVTDs[c].index(vv)\n",
    "                nVTDneighbors[vv]  -=1\n",
    "                nVTDneighbors[v] -=1 #in case this surrounder becomes a later surroundee\n",
    "                fusedPops[c][surrK] += fusedPops[c][kk]\n",
    "                fusedPops[c][kk] = 0\n",
    "                fusedGeoms[c][surrK] = fusedGeoms[c][surrK].union(fusedGeoms[c][kk])\n",
    "                if lastVTDneighbor[vv] == v:  #find another neighbor in case this surrounder is also a surroundee in loop 2\n",
    "                    for jjkk, vvv in enumerate(countyFragVTDs[c]):\n",
    "                        if vvv not in [v,vv] and not isWiped[c][jjkk]:\n",
    "                            if isRookAdj( fusedGeoms[c][jjkk], fusedGeoms[c][surrK] ) : \n",
    "                                lastVTDneighbor[vv] = vvv\n",
    "                if lastVTDneighbor[vv] == v:\n",
    "                    print(\"WARNING.  We did not find another neighbor of surrounder\",vv,\"other than surroundee\",v)\n",
    "                if loop > 0:\n",
    "                    print(\"On loop\",loop+1,\"for county\",c,\" we found that vtd frag\",v,\"now has only 1 neighbor\",vv)\n",
    "if STATE == \"OH\":  #state-specific manual surround enforcement\n",
    "    specialSurroundedLists = [ [334, 343] ] + sdedLists\n",
    "    specialSurrounders = [312] + sders \n",
    "    for ijk, specialSurrounded in enumerate(specialSurroundedLists):\n",
    "        specialSurrounder = VTDchildren[specialSurrounders[ijk]][0]\n",
    "        print(\"special for\",STATE,\", I believe that\", specialSurrounded,\"are surrounded by vtd (fragment)\",specialSurrounder,\". Here, let me show you\")\n",
    "        c = countyNo[parentVTDno[specialSurrounder]]\n",
    "        plotPoly(countyGeom[c], 0.5)\n",
    "        for V in specialSurrounded:            \n",
    "            for v in VTDchildren[V]:\n",
    "                plotPoly(fragVTDgeom[v])\n",
    "                plotCenter(v,fragVTDgeom[v])\n",
    "            plotPoly(fragVTDgeom[specialSurrounder],0.2)\n",
    "            plotCenter(specialSurrounder, fragVTDgeom[specialSurrounder], 8)\n",
    "        plt.show()\n",
    "        shouldIcombine = int(input(\"enter 1 to apply the surrounding operation\"))\n",
    "        if shouldIcombine == 1:\n",
    "            for v in specialSurrounded:\n",
    "                vv = specialSurrounder\n",
    "                if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                    for sNo, s in enumerate(surroundedVTDs):\n",
    "                        if surrounders[sNo] == v:\n",
    "                            surrounders[sNo] = vv\n",
    "                surroundedVTDs.append(v)\n",
    "                surrounders.append(vv)\n",
    "                nVTDneighbors[vv] -=1\n",
    "                nVTDneighbors[v] = 0 #we are capturing all surroundees (some of whom may touch other surroundees)\n",
    "                fragVTDpop[vv] += fragVTDpop[v]\n",
    "                fragVTDpop[v] = 0\n",
    "\n",
    "for c in nonunitCounties:\n",
    "    for jj, v in enumerate(countyFragVTDs[c]):\n",
    "        if nVTDneighbors[v] > 1 and not isWiped[c][jj]:\n",
    "            countyUnitList[c].append( len(unitCP) )  #list of all unitNos in this county\n",
    "            unitCP.append(fusedGeoms[c][jj].centroid)\n",
    "            unitGeom.append(fusedGeoms[c][jj])\n",
    "            unitPop.append(fusedPops[c][jj])   #for now, ratio pop by area, not block decomposition\n",
    "            vtdUnits.append(v)   #if a border unit, we'll catch in below big loop, after checking for surround\n",
    "            allUnits.append(v)\n",
    "           \n",
    "for c in nonunitCounties:\n",
    "    for jj, v in enumerate(countyFragVTDs[c]) :\n",
    "        if nVTDneighbors[v] == 1:  #a surrounded VTD, transfer its pop to surrounder unit.  Don't bother with shifting centerpoints\n",
    "            print(\"somehow we missed 1-neighbor vtd frag\",v,\" with last vtd frag nbr\",lastVTDneighbor[v])\n",
    "        if nVTDneighbors[v] == 0 and v not in surroundedVTDs:\n",
    "            print(\"WARNING. unsurrounded vtd frag\",v,\"had no found neighbors\")\n",
    " \n",
    "for i, L in enumerate(CCBlist):\n",
    "    unitCP.append( CCBcp[i] )\n",
    "    unitPop.append(CCBpop[i])\n",
    "    unitGeom.append(   CCBgeom[i])\n",
    "    nbrUnitGeom.append(CCBgeom[i])\n",
    "    allUnits.append(i+0.25)  #use alt non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nUnits = len(allUnits)\n",
    "print(\"After surround checks, we appear to have\",nUnits,\"building blocks defined. We captured\",len(surroundedVTDs),\"surrounded VTDs\")\n",
    "\n",
    "unitNbrs = [list() for u in range(nUnits)]\n",
    "sketchyList = list()\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"working on unit neighbor lists for county\",c)\n",
    "    if c not in allFusedCounties:  #see a separate loop below for cluster-cluster neighbors\n",
    "        if c in unitCounties:    \n",
    "            u = allUnits.index(c+0.5)\n",
    "            for cc in neighborCountyList[c]:\n",
    "                if cc not in allFusedCounties:\n",
    "                    if cc in unitCounties:\n",
    "                        unitNbrs[u].append(allUnits.index(cc+0.5))  #we'll catch the complement in the cc county's loop\n",
    "                    else:\n",
    "                        for uu in countyUnitList[cc] :\n",
    "                            if countyGeom[c].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu)\n",
    "                                unitNbrs[uu].append(u)\n",
    "            for i,geo in enumerate(CCBgeom):\n",
    "                if geo.intersects(countyGeom[c]):\n",
    "                    unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                    unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "        else:  #non-unit county      \n",
    "            for u in countyUnitList[c] :\n",
    "                for uu in list( set(countyUnitList[c]).difference({u}) ) :\n",
    "                    if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                        unitNbrs[u].append(uu )  #will catch complement later in this county's loop\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if cc not in allFusedCounties and cc not in unitCounties: #see an above block for handling unitCounties\n",
    "                        for uu in countyUnitList[cc]:\n",
    "                            if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu )\n",
    "\n",
    "            for u in countyUnitList[c] :\n",
    "                for i,geo in enumerate(CCBgeom):\n",
    "                    if geo.intersects(unitGeom[u]):\n",
    "                        unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                        unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "                if len(unitNbrs[u]) == 0:\n",
    "                    print(\"ERROR - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has no neighbors\")\n",
    "                if len(unitNbrs[u]) == 1:  #after fragmentation, this unit appears surrounded.  Next block to confirm it has non-intracounty neighbors                       \n",
    "                    print(\"WARNING - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has only 1 neighbor=\",unitNbrs[u],\". Optional triage in next block\")\n",
    "                    sketchyList.append([u,unitNbrs[u][0] ] )\n",
    "\n",
    "CCBunits = CCBlist.copy()                        \n",
    "for i, geo in enumerate(CCBgeom):  #this loop: only cluster-cluster intersections.  Cluster-vtd and cluster-county neighbors already found above.\n",
    "    for ii in range(i+1,len(CCBgeom) ) :\n",
    "        if geo.intersects(CCBgeom[ii]):\n",
    "            if STATE != \"WA\" or i * ii != 3 :  #In WA, we don't allow ferry connection of Island to Clallam+Jefferson\n",
    "                unitNbrs[allUnits.index(i+0.25) ].append(allUnits.index(ii+0.25) ) #all CCB-county, CCB-vtd intersxns already covered\n",
    "                unitNbrs[allUnits.index(ii+0.25)].append(allUnits.index(i+0.25) )\n",
    "print(\"All done creating unit lists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "94741893-6835-45ac-9793-64cbaf4823b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sketchy unit 152 has neighbor list [174, 1]\n",
      "sketchy unit 5246 has neighbor list [5249]\n"
     ]
    }
   ],
   "source": [
    "if len(sketchyList) == 0:\n",
    "    print(\"Great! all units appear to have multiple neighbors; no checks needed.\")\n",
    "for L in sketchyList:  #hope that some of these flagged units picked up unit-county or CCB neighbors\n",
    "    print(\"sketchy unit\",L[0], \"has neighbor list\",unitNbrs[L[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5d49e161-a2e7-4df0-a0bb-80f4a965867c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "probU = 5246\n",
    "for c in range(nCounties):\n",
    "    if probU in countyUnitList[c]:\n",
    "        break\n",
    "for u in countyUnitList[c]:\n",
    "    plotPoly(unitGeom[u], 0.1)\n",
    "for uu in unitNbrs[probU]:\n",
    "    plotPoly(unitGeom[uu])\n",
    "for cc in neighborCountyList[c]:\n",
    "    for uu in countyUnitList[cc]:\n",
    "        if unitGeom[uu].distance(unitGeom[probU]) < 0.02:\n",
    "            plotPoly(unitGeom[uu],0.2)\n",
    "            plotCenter(uu,unitGeom[uu])\n",
    "plotCenter(probU, unitGeom[probU])\n",
    "#plotPoly(unitGeom[1874],0.4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "283ecee8-cbe0-464b-b626-075b7a9e0451",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No problem, we knew we needed to force neighbor connections for Danbury-Marblehead units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"No problem, we knew we needed to force neighbor connections for Danbury-Marblehead units\")\n",
    "u1, u2 = 5246, 1874\n",
    "plotPoly(unitGeom[u1])\n",
    "plotCenter(u1,unitGeom[u1])\n",
    "plotPoly(unitGeom[u2])\n",
    "plotCenter(u2,unitGeom[u2])\n",
    "plt.show()\n",
    "unitNbrs[u1].append(u2)\n",
    "unitNbrs[u2].append(u1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "de307248-1b30-44a0-84a0-f6898a940114",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for Congressional simplicity, we will create another over-water connection\n"
     ]
    }
   ],
   "source": [
    "print(\"for Congressional simplicity, we will create another over-water connection\")\n",
    "u1, u3 = 5246, 1845\n",
    "unitNbrs[u1].append(u3)\n",
    "unitNbrs[u3].append(u1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "cb4277b4-d6ef-4c8c-aa23-6fde227379ff",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if allUnits[u] - int(allUnits[u]) == 0.25:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "8378940d-4387-4188-8ae1-a62010500ecb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now build the border topology\n",
      "counties and clusters done, now working on (frag) vtd-based units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now build the border topology\")\n",
    "borderUnits, borderType = list(), list()\n",
    "for c in borderCounties:\n",
    "    if c in unitCounties:\n",
    "        borderUnits.append(allUnits.index(c+0.5))\n",
    "        borderType.append(\"county\")\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if CCBgeom[i].intersects(MAPexterior):  #should usually be the case, but exception in VA\n",
    "        borderUnits.append(allUnits.index(i+0.25))\n",
    "        borderType.append(\"cluster\")\n",
    "print(\"counties and clusters done, now working on (frag) vtd-based units\")\n",
    "for c in borderCounties:\n",
    "    if c not in unitCounties + allFusedCounties:\n",
    "        for u in countyUnitList[c]:\n",
    "            if unitGeom[u].intersects(MAPexterior):\n",
    "                borderUnits.append(u)\n",
    "                borderType.append(\"vtd\")                \n",
    "if STATE == \"WA\":\n",
    "    print(\"adding a border unit between Island and Jefferson Counties, as these are only ferry-connected\")\n",
    "    borderUnits.append(2647)\n",
    "    borderType.append(\"vtd\")\n",
    "\n",
    "for i,b in enumerate(borderUnits):\n",
    "    plotPoly(unitGeom[b])\n",
    "    if borderType[i] == \"cluster\":\n",
    "        j = int(allUnits[b])\n",
    "        for c in CCBlist[j]:\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "            plotCenter(\"fused\",countyGeom[c], 6)\n",
    "for c in unitCounties:\n",
    "    plotPoly(countyGeom[c],0.4)\n",
    "    plotCenter(\"unit\",countyGeom[c],8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "30d935ba-5087-4fd9-b2fe-d98797cf2712",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that the list of borderUnits is contiguous all around\n",
      "number of border units = 270\n"
     ]
    }
   ],
   "source": [
    "print(\"checking that the list of borderUnits is contiguous all around\")\n",
    "print(\"number of border units =\",len(borderUnits))\n",
    "for u in borderUnits:\n",
    "    if len(set(borderUnits).intersection(unitNbrs[u])) < 2:\n",
    "        print(\"uh oh, we have a border unit with <2 border neighbors\")\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        for uu in unitNbrs[u]:\n",
    "            plotPoly(unitGeom[uu],0.2)\n",
    "            plotCenter(\"n\"+str(uu), unitGeom[uu])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "c037efb1-bd52-4d68-bdd2-82204ff29dd0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# BELOW IS LEGACY FROM PREVIOUS OHIO CODE -- DO NOT RUN\n",
    "for c in [21,61]:\n",
    "    for u in set(borderUnits).intersection(set(countyUnitList[c])):\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(\"b\",unitGeom[u])\n",
    "        if u in [4922,1845]:\n",
    "            plotCenter(u,unitGeom[u])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "1e50f265-cb32-4319-bf59-541e96261050",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fine, we will create this over-water connection\n"
     ]
    }
   ],
   "source": [
    "# BELOW IS LEGACY FROM PREVIOUS OHIO CODE -- DO NOT RUN\n",
    "#print(\"fine, we will create this over-water connection\")\n",
    "#unitNbrs[1845].append(4922)\n",
    "#unitNbrs[4922].append(1845)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "937d923d-9e95-45e9-9aef-77cb4377781d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that the list of borderUnits is contiguous all around\n",
      "number of border units = 270\n"
     ]
    }
   ],
   "source": [
    "print(\"checking that the list of borderUnits is contiguous all around\")\n",
    "print(\"number of border units =\",len(borderUnits))\n",
    "for u in borderUnits:\n",
    "    if len(set(borderUnits).intersection(unitNbrs[u])) < 2:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "plt.show()\n",
    "\n",
    "for u in borderUnits:\n",
    "    isUnbroken, smallPieceList = isContiguous(list(set(borderUnits).difference({u})),unitNbrs)\n",
    "    if not isUnbroken:\n",
    "        print(\"border is discontig if we skip\",u)\n",
    "        for uu in smallPieceList:\n",
    "            plotPoly(unitGeom[uu],0.3)\n",
    "            plotCenter(\"n\"+str(uu),unitGeom[uu])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        plotPoly(unitGeom[u])\n",
    "        plt.show()\n",
    "        print(\"above is with unit numbers; below is VTDfrag nos\")\n",
    "        for uu in smallPieceList:\n",
    "            vv = allUnits[uu]\n",
    "            plotPoly(unitGeom[uu],0.3)\n",
    "            plotCenter(\"v\"+str(vv),unitGeom[uu],8)\n",
    "        v = allUnits[u]\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(v,unitGeom[u],8)\n",
    "        plt.show()\n",
    "        pause = input(\"enter 1 to continue\")\n",
    "borderSet = set(borderUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "93603f77-77fa-4453-b54b-5ea07fcb6721",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here, we identify 'border' units that aren't needed to define the map border\n",
      "Bueno! no 'border units' that could be eliminated from the border set\n"
     ]
    }
   ],
   "source": [
    "print(\"here, we identify 'border' units that aren't needed to define the map border\")\n",
    "canBeRemoved, powerNeighbors = set(), set()\n",
    "for u in borderUnits:\n",
    "    uNeighbors = list(borderSet.intersection(set(unitNbrs[u])) )\n",
    "    if len(uNeighbors) < 2:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        uu = uNeighbors[0]\n",
    "        otherBorderNeighbors = set(unitNbrs[uu]).intersection(borderSet).difference({u})\n",
    "        if len(otherBorderNeighbors) > 1:  #this neighbor of our 1-border-neighbor border unit makes a border chain without the problem border unit\n",
    "            canBeRemoved.add(u)\n",
    "            powerNeighbors.add(uu)\n",
    "        plotCenter(uu,unitGeom[uu],6)\n",
    "        plotPoly(unitGeom[uu],0.5)\n",
    "        for uuu in set(unitNbrs[uu]).intersection(borderSet).difference({u}):\n",
    "            plotPoly(unitGeom[uuu])\n",
    "            plotCenter(str(uuu)+\"=N of\"+str(uu),unitGeom[uuu])\n",
    "        for uuu in set(unitNbrs[u]).difference(borderSet):\n",
    "                plotCenter(uuu+0.1,unitGeom[uuu],6)\n",
    "                plotPoly(unitGeom[uuu],0.1)\n",
    "        c = countyNo[allUnits[u]]\n",
    "        #plotPoly(countyGeom[c] )\n",
    "        #plotCenter(c, countyGeom[c])\n",
    "        plt.show()\n",
    "if len(canBeRemoved) == 0:\n",
    "    print(\"Bueno! no 'border units' that could be eliminated from the border set\")\n",
    "else:\n",
    "    print(canBeRemoved,\"is the list of 1-neighbor 'border' units that can be eliminated from the border set\")\n",
    "    print(\"... as they are enveloped on the border; the enveloping border unit has two other map-border neighbors\")\n",
    "    yesRemove = input(\"enter 1 to remove these from the list of border units\")\n",
    "    if int(yesRemove) == 1:\n",
    "        canRemove = True\n",
    "        for uu in powerNeighbors:\n",
    "            testSet = (borderSet.difference(canBeRemoved)).difference({uu})\n",
    "            if not isContiguous(list(testSet),unitNbrs):\n",
    "                canRemove = False\n",
    "                print(\"We can't complete the border if unit\",uu,\"is not included in the ring\")\n",
    "        if canRemove:\n",
    "            borderSet = borderSet.difference(canBeRemoved)\n",
    "            borderList = list(borderSet)\n",
    "            borderUnits = list(borderSet)\n",
    "            print(\"Success! we removed\",canBeRemoved,\"from the list of borderUnits\")\n",
    "    else:\n",
    "        print(\"Fine, be that way.  Sheesh, I will keep them.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "b13c68e3-33ed-48b3-acca-78012ce0bf61",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here is the final border set\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "print(\"here is the final border set\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "173bb175-312b-4d08-a5b5-80a1d5d70416",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "print(isContiguous(borderUnits,unitNbrs)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "fc1ae6e1-ef52-412b-a966-e9739071af8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For safekeeping, write the unit topology to a file\n"
     ]
    }
   ],
   "source": [
    "date_ = \"19Sep24\"\n",
    "print(\"For safekeeping, write the unit topology to a file\")  \n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        #for i,uu in enumerate(surrounders):  #no longer tracked\n",
    "         #   if u == uu:\n",
    "         #       unitVTDlist[u].append(surroundedVTDs[i])\n",
    "                \n",
    "unitNo = [u for u in range(nUnits)]\n",
    "unitCPx, unitCPy = [unitCP[u].x for u in range(nUnits)], [unitCP[u].y for u in range(nUnits)]\n",
    "onBorder = [0 for u in range(nUnits)]\n",
    "for u in borderUnits:\n",
    "    onBorder[u] = 1\n",
    "nbrDF = pd.DataFrame( {\"unitNo\":unitNo,\"centroid x\":unitCPx,\"centroid y\":unitCPy,\"unitPop\":unitPop,\"onBorder\":onBorder,\n",
    "                       \"neighborList\":unitNbrs, \"unitVTDlist\":unitVTDlist, \"unitParentVTDno\": unitParentVTDno, \"allUnits\":allUnits} )\n",
    "outname = STATE+\"VRA2unitTopologies_\"+date_+\".csv\" \n",
    "outpath = \"state_map_files/\"+outname\n",
    "nbrDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "d4baaea4-7af4-4407-aeb3-f4291d335f89",
   "metadata": {},
   "outputs": [],
   "source": [
    "vtdGeom = tractGeom.copy()  #optional reset if we need to rerun the below clipPoly routine with alternate clipPolys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "abdd07e7-f9be-480a-9d3d-b3948eeaaa2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "toSquishCountiesList = list()   #default; if we did not have any clipPoly's to move in\n",
    "nClips = 0\n",
    "nHDs = nTracts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "89eb05dc-cb93-4264-ac61-9c07fa7d198e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In the next few blocks, we define two VRA cores that stay together (in C-bus and Cleve). Each core is included\n",
      "in all HDs inside a defined envelope, and excluded outside this envelope\n",
      "To determine current minority fractions of these unit-based lists, we must establish unit --> VTD conversn\n",
      "working on full or partial VTD master list for unit 0\n",
      "working on full or partial VTD master list for unit 2000\n",
      "working on full or partial VTD master list for unit 4000\n",
      "working on full or partial VTD master list for unit 6000\n",
      "Now, we compute compute minority and total VAP of each unit\n"
     ]
    }
   ],
   "source": [
    "#FOR THE VRA-modified code, below blocks updated from VRA-HD-OH -- doing Columbus instead of Cincy\n",
    "print(\"In the next few blocks, we define two VRA cores that stay together (in C-bus and Cleve). Each core is included\")\n",
    "print(\"in all HDs inside a defined envelope, and excluded outside this envelope\")\n",
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"To determine current minority fractions of these unit-based lists, we must establish unit --> VTD conversn\")\n",
    "noFrag = 0 #int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )\n",
    "\n",
    "print(\"Now, we compute compute minority and total VAP of each unit\")                        \n",
    "unitVAP, unitWhiteVAP = [0.]*nUnits, [0.]*nUnits\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        unitVAP[u]      += tractVAP[v]\n",
    "        unitWhiteVAP[u] += tractWhiteVAP[v]\n",
    "    for i, v in enumerate(unitPartialVTDlist[u]):\n",
    "        unitVAP[u]      += unitVTDfrac[u][i]* tractVAP[v]\n",
    "        unitWhiteVAP[u] += unitVTDfrac[u][i]* tractWhiteVAP[v]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a9c981e7-10f2-43d8-8d3b-1e985800ecf6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "016fa405-c829-4bee-8f6b-9e9885b89255",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will now read in a shapefile of Cleveland that would be kept whole if city no-split enforced\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#from https://data.clevelandohio.gov/search?q=city%20boundary\n",
    "CITY = \"Cleveland\"\n",
    "print(\"we will now read in a shapefile of \"+CITY+\" that would be kept whole if city no-split enforced\")\n",
    "cityDF = gpd.read_file(\"./state_map_files/\"+CITY+\".dbf\")\n",
    "cityBoundary = cityDF[\"geometry\"]\n",
    "cityBoundary = cityBoundary.to_crs(tractGeom.crs)[0]\n",
    "plotPoly(cityBoundary)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "cc8560f0-961f-4778-915b-f9acddaa91bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "nVRAs = 2\n",
    "coreVgroups, coreVgroupPop = [list() for n in range(nVRAs)], [0.]*nVRAs\n",
    "for i in range(nVRAs):\n",
    "    coreVgroups[i] = list()\n",
    "    coreVgroupPop[i] = 0.\n",
    "\n",
    "VRAvtdList = [list() for t in range(nHDs)]  #zero this out ONCE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "9ccdaa30-d62a-4ef4-adcd-19534d599fdb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now draw a polygon that expands the VRA core to a smoother shape for VRA number 0\n",
      "pop/aDP of high minority within, outside city are 0.51298 0.10534\n",
      "city pop, pop/aDP are 368143.0 0.468\n",
      "VRAcore pop/aDP, pct minority are 0.72121 0.62797\n",
      "confirming, pop/aDP = 0.72121\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "VRAno = 0\n",
    "print(\"Now draw a polygon that expands the VRA core to a smoother shape for VRA number\",VRAno)\n",
    "c, cList = 17, [17]\n",
    "mVpop, mVpop2, cityPop, mVAPt2 = 0., 0., 0., 0.45\n",
    "ptXs = [-81.77, -81.8, -81.52, -81.49, -81.485]  #iterate on these until they look good\n",
    "ptYs =  [41.49, 41.43, 41.42, 41.54, 41.64]\n",
    "pts = [Point(ptXs[i], ptYs[i]) for i in range(len(ptXs)) ]\n",
    "VRApoly = Polygon(pts)\n",
    "VRApop, VRAmPop = 0., 0.\n",
    "plotPoly(VRApoly)\n",
    "plotPoly(cityBoundary)\n",
    "plotPoly(countyGeom[c])\n",
    "for c in cList:\n",
    "    #plotPoly(countyGeom[c],2)\n",
    "    plotPoly(cityBoundary)\n",
    "    for t in countyTractList[c]:\n",
    "        if VRApoly.contains(tractCP[t]) : # or cityBoundary.contains(tractCP[t]) :\n",
    "            coreVgroups[VRAno].append(t)\n",
    "            coreVgroupPop[VRAno] += tractPop[t]\n",
    "            VRApop += tractPop[t]\n",
    "            VRAmPop += tractPop[t] * (1. - tractWhiteVAP[t] / tractVAP[t])\n",
    "        if cityBoundary.contains(tractCP[t]):\n",
    "            cityPop += tractPop[t]\n",
    "        if VRApoly.contains(tractCP[t]):\n",
    "            if tractWhiteVAP[t] < (1. - mVAPt2)*tractVAP[t] :\n",
    "                plotCenter(\"B\",tractCP[t])\n",
    "                mVpop += tractPop[t]\n",
    "            else:\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "        else:\n",
    "            if tractWhiteVAP[t] < (1. - mVAPt2)*tractVAP[t] :\n",
    "                plotCenter(\".\",tractCP[t])\n",
    "                mVpop2 += tractPop[t]\n",
    "            else:\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "print(\"pop/aDP of high minority within, outside city are\",r5(mVpop/aDP),r5(mVpop2/aDP))\n",
    "print(\"city pop, pop/aDP are\",cityPop, r5(cityPop/aDP))\n",
    "print(\"VRAcore pop/aDP, pct minority are\",r5(VRApop/aDP), r5(VRAmPop/VRApop) )\n",
    "print(\"confirming, pop/aDP =\",r5(coreVgroupPop[VRAno]/aDP) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "b0a7f78b-b293-4ea5-b9dc-bf5f975cba6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "483 0\n"
     ]
    }
   ],
   "source": [
    "print(len(coreVgroups[0]), len(coreVgroups[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "645ea160-ef88-4243-8960-f570b5ee632c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "visualizing minority precincts near Columbus with nonwhite VAP > 0.45\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "CITY = \"Columbus\"  #though we will ignore city boundaries\n",
    "c = 24 #Franklin\n",
    "print(\"visualizing minority precincts near\",CITY,\"with nonwhite VAP >\",mVAPt2)\n",
    "for t in countyTractList[c] + countyTractList[20] + countyTractList[22]:\n",
    "    if tractWhiteVAP[t] < (1. - mVAPt2)*tractVAP[t] : #\n",
    "        plotCenter(\"B\",tractCP[t])\n",
    "    else:\n",
    "        if t in countyTractList[c]: #plot only Franklin white precincts\n",
    "            plotPoly(tractGeom[t],0.1)\n",
    "ptXs = [-82.78, -82.9, -83.01, -82.98, -82.8]  #iterate on these until they look good\n",
    "ptYs =  [40.01, 40.08, 40.16, 39.89, 39.86]\n",
    "pts = [Point(ptXs[i], ptYs[i]) for i in range(len(ptXs)) ]\n",
    "VRApoly = Polygon(pts)\n",
    "VRApop, VRAmPop = 0., 0.\n",
    "plotPoly(VRApoly)\n",
    "plt.show()\n",
    "    \n",
    "#print(\"we will now read in a shapefile of \"+CITY+\" to be kept whole\")\n",
    "#cityDF = gpd.read_file(\"./state_map_files/\"+CITY+\".dbf\")\n",
    "#cityBoundary = cityDF[\"geometry\"]\n",
    "#cityBoundary = cityBoundary.to_crs(tractGeom.crs)[0]\n",
    "#plotPoly(cityBoundary)\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "bba65d64-27c5-4f4c-8d1e-017b05f810b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#coreVgroupPop[1], coreVgroups[1] = 0., list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "5af3d9cf-04e3-4fbc-b0ec-70f026a16483",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "516 334\n"
     ]
    }
   ],
   "source": [
    "#print(len(coreVgroups[0]), len(coreVgroups[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "009f4bbf-c9de-46b2-b24e-72c9a262de3f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now draw a polygon that expands the VRA core to a smoother shape for VRA number 1\n",
      "VRAcore pop/aDP, pct minority are 0.69698 0.5551\n",
      "confirming, pop/aDP = 0.69698\n"
     ]
    },
    {
     "data": {
      "image/png": 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R08/onHNBc3MdqVkjvw117jCRzlPRxpHiUtySa2yqYuHcm4bUN2FJsqHabID3/C7sOEzTQI8lBJEei6HHooT9PvR4jLDfh93lIX/c+BFbj0AgSHBpf2JfQFwxO1dMPzuHzYgeIRAOEAr56Qx3cPhoBfqheL9+0skcJ3u+IRqmQVXVQQpyR7aIX3tTC+MmTTm/k5zXL7HiG/KFIK7HcDrcF3oZp0SWFTSHExzOAcc6G+uRhJ+OQHBBEIJlmMhu21mdL0kSTpsTp80JST2WilHDG6v7jSrMsI48gjVl9FgMxyAf6JcOl5514lLg3aqDbK+vA3r8Vnp04TF52NKkcuOFWdo5IdDZQU7Z2Au9DIHgfYkQLJcB3iWFdL96lKQlRShe7UIvRzBiXHxWoh0N9Xxh/pKTHv9793sjuJpzjx6LYdOG78MjEAiGjxAslwGyTSH5xlK6X67EfUUuWvZImNzPz8Pyrca97Go/ikPRGKUL0/slhzBcCQSC84QQLJcJsiKTcvNo/CtrsKIG9qKkC72kYVHRVceDkxKbBju2vXiBV3PxYsRjIlJFIBC8r7h041IFA5AkCe+SIiIVHed9Ln/MP+xzH3vzsUHb32s5RDAeBaClehvRijcAqKjcws5dbxIz9GHPOZBL+2Hf1lhJevrFVXhyW10NXofYkhQIBOcHYWE5CyzTQpIvrgdf4lu3hGVZ5+0buD/s55DvMAd3/qbvud/Wyah4CoYZwCpxgyQjyzY0xYPLysDmjxGLRSmbeCUNTQ29Y/1472s45MTbULcMvtZjXckqnkEQmR3r/4rpbyZjzEJ2rvg5s6974KzXb3a1ITlHLkz2fNBYX0F+6XmO0hoiRzvaeGbXNsZmpfKxmfNP2s8fCuOyi48cgUAwPMSnx3CRuWj369U0B/GW0HnzZWluquPGqbeQW1zU27bxuV8x97bP0vDKI+SN/xymqWMYISJxP02rNmAcqic6No/Xn3+aslFlvLDhBQBCLVE+cc2NpLkHprYfVTyNVdv+xKiUJOLbf0Na2I9v20+P63FiLR4LSVaRbB4kzYtkS0LWvMj2JGR7CrKWjGxzo9cfRM4pPS/3ZqRo8zUxOfPCx9s8v3crrYEgDy5cetoEipU1LZTknFmeIYFAIDiGECzDRZJ6ksFdXBYWAOeUDHyvVaHdPPq8jN/d2kHJ1LJT9pFlFVlOwmZLIpydgTurnOzaJjJzU3E4kymYNQuA+LadpDgd7KnuYn9VFw67AlZCihjRIDtjk5kx706SHae3iFiWhWVGMWM+jGg3ZrQ78e+uZsy4HysaACNCsHYn6Vd991zciguGhTUidXveOLibyrZ2LCwkJEwsZCQsLLojUeYWFXPrxJlDGutofQvXXjHxPK/4/GGZ5kX4v10geP8gBMswkXoFy8WHbFNwzcgisLEBz9y8cz6+pZuo9v55aCzLBOBw9SYqD2cwnnHYnUlgmShOJ+6JE5GT3CSv2khLSjuK3U7u5MnEDYPWYIj9R1tZMCaNnPzEN/CaQ7s5uHk/Y446qdm2hclXLj7tuiRJQlIcyE4HqvPkKet9/odRU8/9fRlZRubRWdnWzj9fuWjQY6ZpnlFZimgsjnsQS9qFQtdjdDc309XUiK+1mUgweMr+kYCfCQtO/z4UCATnByFYhosMlnkx2lcSaAVeQrtaR2y+Yxl5A8UzcHS5iKTK2MwYRjREypjJADjHlWAvK0J5dgVVb65C0TSuHD2K3fWNuJNi7N68n5z8q6jcu4WQP4A71UamaeLyuqg9dIDCMeXnbL0Xsv7TpcSpJPmZ3sNofSXr/1EzrHVIkoSsKMiKgiTLyLKMYtPQnE5sDidOjwebw0nY76e7uZFgV+cpq1VLkoQky3jTM0jJziG3bCwOb9Ipr6lu/x5S8/KHtX6BQHD2CMEyTKJmK+371iIpPR9wxz4cT2J5OVb3RZIVknLH40ovPm9OsUYgRuDdBtTMkfk2G4uGkNXEW8njTGHngXdgzBIkSSIYDXBjWV+tI/9ra8HQGXvVYo7u2UPejBksLR/Dvm2HMQuzAehub2TaghupPbQbX2oH4WA4Ya0RjDjn8h2akpfPvA8Mz0JhmiamrqPrOpapYxkm8ViUWChENBgg7PPR3dKCw+OlcOIUkjKzzrkojUejiZT9AoHggiAEyzAxU7tJz52L3XlmBQBNPU53zV666/cg9YgYWXWQUjQNu/fcFBP0v1NH0rXFyLbz7+Owbf27+CprGd3pRu/ys3DJx4i+8SuWzF0OwIoNrwIQeG8nseoG9PYOsr7wEQAmz53M1j8/zrb1VbR3xRldMobNrx6lvT6dvdqafl/vmzdsJ7bqWdIXLCa5/MpB12KYJoe6axibXHSah9XFahc7Ey7O7chTchZbqLIsI2saqibCpgWC9ytCsAwTSVGR1TOvJySrNlJLp5HKtN62eCREd/UOOiIb+vrZ3aQWTUNzpfW2mbqBGY8iyRKK/eTf9OwlyfhX1uKcnIGW5znjNZ4OCTB0gx2r1tF5uBGAo3lu1Fc24HA7QUs8mN5490VKC8YAED1SQ+o91/daYo4x4957OPzo35l/1/W4MpJ7WvsXVap6+m2UuiDpd/8T3e/+GnfxZNSesOSYobOmcQe+WBhZkmmNBrDLKqOSC05xBZfgw/44TMNgpETXpX2nBALB5YQQLMNEQuJcfZzbHC4yxvW3GsR8PrqrdqLHu+FYxWYJZFUj7Kslb9IH0dzJg4wGzgnpOMrTCG5sJLy/ve/RdsIWlJLmwF6ShOxQQZOHZEKPRaPIikJLawOe/DTKr5xBe2sLsViU9OLRSIEI8hN7eGr172lra6M0mEXd6hfR2+s5eP11zH3j7X7zSJLE6M/eyaFHn2LcF+4ZOF93AIDSf74He7IHR/JnaX3n75ixCO/EPVhTSliWP410ZwoAqxp241VtRAwdGdCUy+8t3t5SRVpq7nmfpysUJhSPnfd5BAKBYChcfp/mI8ipnPrOFi0picwJCwY9ZhoGDTueo2DmHSc9X5IlPPNOHQkTPtRJpKITM2ZA3BzSurq7OkidkoGERGtNPeMmTMbtTlg7Nr5diSRL2POmcNeihACLhyKEOzqJthZwQDuA8sJvgYRPj2WZxGMhxk2cCzleVv9jBbaU1L5rAGJVNUyYMQ57csJSZE/NJnfZPxGNRsl46lmuLVvUb33Jtmw+u201WXaVpIZKrgt3kZFfhiT1JdMz62Kcyv5ysdNQd4D8/HPngHwydjRVMTr93ORN0Q0TWZQSEAgEZ4EQLMPm3FlYzhRZUXAmFxJoPIInd/i5VpxjUk/f6QSObmlkXP5YHE4X9UePAmAYBjX1laxt3IQ22kWGt893xuZy0BkHe/ookv3TmbPwEwC8+Ld/I3lUOnZHCs7uNqSuCvScbBxaJ3kT5uFIy0OSJA7/ZS/Jo/siM7Zv2EyosQlJs7HwztsA+PWeOkJGQnCZoQ6+WTSF0cENHO04TN6EZSRPXkzzC98HSabgnv9h/1//PNxbdlHQ1tnApBnLzvs8i0rH8+K+bbyyfxc3jD+7rLr1jS1kZKSdvuNFjJBbAsGFRQiW4SJdGMHSfug9oqH23tcezk9yuJMRjUTY0bmLnQd30trdyIvPvMKkjElML57Fl+/5EIca9hAJh/qd89qmp0lzZZJu19j+9teRYnYyj2xjSrUd9/97CQDvVZAJ6PEYjbvX0L39HSYtvYe0uXOpevXV3u2sTf4In/7kvb3bSi2BCJYk8ZWpiay7mw7Wk+ktwmrvZMonf0Xzyj/Q8trPSbv6Prp3vEakvRVFO3Pfo4sJ0zJRRmir6+YJM3j4vVVnPU5dfTPFBdnnYEUXBkPXkRRRPVwguJAIwTJMpN4Yn5HDsiyioXbypt40wjP38XzjS9xY+kE+NflTqFP7v32CYT+rd7/GRxf/CwBxPcZ3n/kai8dcy6KZN7Lx+U8y6YZf4jtUg33Kp3Ad+uuA8X21zxLtfJyYksuuXT2NE+CYOJwQU/jWqqdITZ+HLEk0heN8YXLfBk+Kv5HQul8gT7qGJCB7yScBaGtrY08ohYW/mEvm2H9PZC0VuVhGjPb2Tq6YdelmuQ11d+FOOXOLpEAgOHcIwTJsRj7TbayzA5s7ZUTnPBG7rHFl3uBhxTsOvIfL4eWNLc8ikShmuMO/h88WPUA8FkJzpdPRXUP2hB7/iy210LwPMsuhRzxIsSCBSg8UTMLqivaOnZJVQnH5IgDKuxo43HiIeeOvHrCGsTM/iD7lRqr2bmTnyqd6LTMpBeUsvOlu1EXXo732cyJPfw916rXYyucQDkXQo1G8qYM7Mb/fMcyzf5/rge4RswqdDwId7aTmiqRxAsGF5NL9BLngjPyWUP2BZyiY+qERnfNEInqY3+z6DQC+mI+vzvpq77H505cxn/6+FUcdbeRlFnN4518pmPwRMjOOcxad9SlY/zAs+SYk5QAQak2l+KovkTr+in7j7HznjxT3nJqZksfOyneob28mP33gNoNq0yib1uewbJkmDUd2cWB9YvuJwmnYHR7ydryNrXwOrz27mrqWbv7li7ej2i6F/xIj+75TJInHt2/gw9OvOH3nk6C6L+3q2NFgALv7/BQTFQgEQ+NS+HS+OLkAPixOTwHaBbaw3FF4OzOnXAXA0xVP85tdv8GyLLqiXTw056EB/VPsKXR0HKZr82MUlP4z0QOVvceshoMg58Lb/8Dxwc+zdfO77NvbxIQrytnz52dISUuY4ON6jMK8/ub4a6Z/iHd2P8u+6hheezkzxk5Csw3umyLJMvljppE/Zlpvm6+9mVWH/Bh/fR1VU8lOcSMrYovoRBp9nbQGwnx+/vu7ho4F5y0ztUAgGBpCsAwTqadi7YhygYstGqbBW50r2bJz74BjMhJNjTuoatiEbkR6WiWK9BCNzTsYO/0hZH/CGdcyDQj7UBfehVpYSnTFU6xd8xbjxpYzpnw6q9as57bbPkCSN1FaYF/tgd7KxId2PUss0omv8zBXL/seAK+/+ANeqAljWBYZKR6WXjmVx19ex4dvvIrfP7sK04R5U0qZNLa4d71J6dnc8rG7el//+a+/4/ePPkqHkc9V6TKSLPd/QB1XeuFYoUfpuLiR3tILPW2KLGFTJGwOB6rTjuZ0YHM60JwO7E47mtuJ3elAdjjOyJnTNM1+855vHtu8gQeuXjRi8wkEAsHJEIJlmEiSDcuMj+icqjOJqK8Le1JKv3YjlhAIiuY4r/N3BNq5NvcaUpLjNLXu6c1DYwESTvzBJmZO+jA2++mz65pdHei73iV6cBvK6Fm07T/EgtxCAG658Zp+fSsb28lSj7Bix9+IB3NJTm1FkiX2bfo9FlBSkE/5jIRfzYsrN/P3197jrT0NeG1r8TjtfOj6K9m44wB/eWktYWxsyctgdKqbfIfGR/MSeUbspfnYgUikjPlLxpzVfbIsi7hhEY3rREMRYpEIsVCEUDhKd1eIWGM78XAEIxpDikWxzOME0Im1qI6Jpp629lg3b6bupHLnb3q7RONdTHDbsSkD09bLyKiqE01xo6ku7DYPdtWLprpxqF6cNi82xTkgaaBu6Pz83ZXcNmkaSY6Lp8KyQCB4/yIEyzCRZQ3TjJ6+4zkkKW8SvppdaO4Mgl1HjluLDdOIkzft/EYP6XWVtLStJjdzCfNmfBZZGX54sJyShrawb72pRw+ftK8v6ObGxR/jnddfJUY3Ts8kps2bP2jfm5fMBuBD18OeimoikYSYmzutnLnTynnmhbeZGciko7UbKc2JmZOKLMvMGT2e7pCPlqPDvqReJElCUyU0VcPr1IBzV7jxjYM7+HTSfCbnlPS2vVnxOxaM/iiaOlCwxo0YUT1IVA8SifuJ6n6C0Q46g7XEjCBxPYxuRgacd7hJp1jLpKl5C03Ng63kmKg60fnc6snMnGjTFAd2zUVrYzV79x/B6XTgdjlwOR243QmhFInGCIWjpKVc2n4uAoHg/CIEyzCRZQ1d95+z8UzTJBqNYrPZUNXB/yx2Txq67sPhyCFn8g2934ojXY20H1l/ztZyMpIrDnO14UbavhXTSEaWusCZBullcJYRIJHmg6xaYTBl8jTSs/qnnY/HDQCuunYZ69547aRi5UQmjSse0GZTZD57dSJ3zYFGHz9dcQjLguWTcpg2qoS1Rw+d1XWcb2q6m1hU2j88WDfjg4oVAJuiYVM0PPYzC8ldOHbYS+zFNE3CsTAdgQ4yxtRiAm0dXdTWR4iEo0SjkV4rnaIo6HH9tH5Eif7SiVUmEkgyss2G3W7H6bDjdDlwOhy4nPaEUHLacdo1FFn4oggElyJCsAwTWdYwrXNTZ2XDhg1kZmZit9sJBoOMGTOG/fv3I0kSDoeD0tLS3r65U24ccL6kamjujHOyllMRNYtJveOjWPEokZcfRi1KByMG7kxwD57CfceOHciyTFFRESkpKScduzzQTcAe4/VV9SSl9CWeM3QTpSZhyepobSE149xUtAYoz02iPDcJ0zR5fkcDr+9uoqLZTzCq47af3X+NLXtbqajqRNMUpo5OY8yolHPitKlbJvYTim6OpE/LmSDLMm6Hm4aOOsaPnszYgvOb5NA0DeKRGOFIhGAoTDgSJRQK0NzRTiQSJRKJEovrp/U8O1bC4fjSG9kZaSeU5BQIBCONECzDJLEldG4Ei9frpbi4GFVVOXToEOFwGLfbTVFREZWVlZimecrChHZPOnrUd07WMiT0OGb9fsJSzzf9hr8kdgBUG+qkq7GNmtTbtaCggEAgQHLyqXOcSMVzmXTtUiad0L53SyWZM8YBkJSaysE9e87hhSSQZZkPzkgkn/vd2spzIliicR1Zkrht8Si27W/lqTf7tvBS3BpXTs3G67Wf8bjHHH77tV3kNZWbOquYWTZ4XaxziSwr2F1O7C5nb4TZuSAU09ld133OxhMIBMNDCJZhIkka1jkQLBUVFTgcDsLhMLIso+s6DQ0NaJqGLMukp6fT3t5OZuapLQvn4qHV9NrTWHlOZNWJqrlQbE4UzYXicKNqbgx/FwCS04P7C78duIZYhMgrj/QTLBkZGWRkDG79+dPeP5GkJXHbmNvAgjfbugkaJtO8Lka5Eg/z9uZOxk1LpN0PBBuJRjeyb1PNSa8hHg8xce5nUNWBYiASiZ42z8o/LSg95fGh8ru3DvPLz89FVWXmTM5mzuS+fDGtnWFWb28kFNaBhM/LhMJkxo9NQxnSlsgJbQytcOWFQtejuOyXruNuU3eEnOTz69AuEAhOjxAsw0SWVSzLGPb5bW1tdHZ20t7eTmlpKYcPH8bv97Nw4cLePtFolFAoRDAYPK1gOVvan30ZvauSvGVfw4xHMaIB9GgIIxoi0tWEEQ8RLw9Rt+aRfueF2ipIHX0NWlI2SiCIYh+64+SykmWYlokZiyGrCtKhnQRqN7NHs1MhayiKhhrJYcc7K9CMNKrqX+aaGz6JO3Ogb8oxDu/5B3s3/oqSCbeSnNq/X2NTC+mZ53/rDOBrt03k0ef289WPTB1wLDPVyU0LS3pfG4bJ7iMd/GNFZa//qseuMnNCJlkZLuTjfC4G21aSuNjzx1zcFqDT0eyLMr0o5UIvQyB43yMEywjT2NhIZWUlmZmZlJWVMWZMIoT2jTfeYOrUxMNt165dOJ1O7HY76enp5OefPiW4avMQC/vQnGcWkRJr66T2O19Dctsp+e7PkWUZ2e5EtTsZyoaFEQ0RrNtGW/Vv8DomkbH8/iHPneNOZLcN1FbjTE8jXtNEblkJuhnDMKJEjSjFOVkEa9ah6nNJTi9j2ztPUjpqHMHug+RPugt3ZknveEFfG0bURFbsHN79ODMXfr3ffI2NrRSUFA15fcPBNE0eeHgTU4pSuHvJ0Kw1iiIzbWwG08b2iamuYJSte9tYu7Op3/O+Q9/Eiv0VZHrLSXHm0+CrYuORTozgyp4ex0Xv9AScy7KES7PjtjvwOFykupPJTsk+5TbjidcUDO5HUbyoauJHlt8/Hx1R3cBhE4UPBYILzfvnU+ciITMzk7a2tt4tn2N87GMfw+/3s337dmKxGFOmTDmjcVOKptFdvYPM8oWn73wcNf/zVQq++V84MoZXJ0Wxu1DsMXLH/xPOnHnDGqOlvoldnU4UVWLpjNsHHK93a+yp/AdFRTNwGLk4XclEQ6101myls3oTyXnT8OaNpb1pB/7gbmZc9Z/I8sAHTEdnN7Nmn98CdrIss2RyDvuqOjlc66Mgd3ihuiluO9fM6f83MU2TdU8fZeH4v7Cj9nm6wvVsrHqB6yZ9gfklM086ViweIxQLEQgHCcXCVLc2sKVyP6ZlYllgt6lcMWYqqZ7B701n5zq6fTux23Mx9ACh8FHSUueRlbX8lNfQdeCPGPFuPF1nfPkCgUAwACFYRhhVVZk8eTJHjhzh0KFDRCIRSkpKWLduHV6vl1gsRjR65vldNE8q8eiZOwYmz15Kw8Pfp+SbPx30IT8U7GmT6D78OPuqngN1Dqqs0f+b/qmJBmu4dulnWXHwHVYcNVBlGzZFQ1OcaIpGTfcBgk4nWWklpLe1EuqoxuHNQZJkLNPEnpTYLisauxR/V/VJr8MwLTT1/H5TtiyLD1xVRHcgRmNH+JyOHW7qJC88m7o1j5IBRP11xJypzMg7dRVkzaah2TRSTlLWIRwLs+HgdrpDieis7OQU5o6ZgSzLhEK1dHfvoKDgXjQtIWgaGp8FIBJp6LG2uHvFt7/qZWK+wyApRIPV5F3xQ+pW/+Pc3ACBQPC+RgiWC8To0YkQz/b2dpqamnq3hhRFwTSH60R5ZuGtlmmRec89KC+nUvN//07JQ98f1qyqK4v0KV9m59HXWFyyfNjhuzdP/AKmaRI3daJGhIgRJaJHyMhbSJ4nl/dq3qYxWIXcnErB3Kno0QCSpOL3tRJt3U13x1Ei4daTjh+Inv/MxJGowZxvvUmp08H/fWz6OR27c/cOsPtQlHxkuxs90sGE5CtZuf1JXI7jrSMSkiRhU2Q0mxOb4mBU7kSSXYNHajk1J4sn9VXgrmur54XNKzCMAPm2F0CfTGlp3/gZGUvp6HiH9vY16EYIs7cUg4XcUU3xzP/DMmJYpp4ow3CRhl0LBIJLCyFYLjDp6emkpw+ew+RMsCwLs9NPxxOv9T9w7FlxMoOHdaxt+A7Ex+iKx2j2teDCid2uYTth22soyLKMXdawq9qA/LA6MrtCzzFj/M85vOcPxOOdhKPVSJZM0ahPUjb5Q9hOUZ7A6xh+Zt6h4nSozElPYl9nkF0V7YwddW62oEzLot4WRCsooGTmreiRAGnqEsygj60Ve7lh7if69zctorpOOBqiO9TJG5t+w5iC+Wg2Ow6bA7vNjmZzYLdpiaRzkg1NsWNhkpeWy8RoFzUthzjQ6KHANr7f2JotiZzsvnxALQdWY8RCYFkoRuJ9JCkakqLR1VKPMznrnNwDgUDw/kYIlkuEjvWvEqzdg+I5wSciUUYWAFXVSPnQh85YJJimSfjls8/wuqBgPjXP/gyKlhOPRjHi+oClHuNk37mtQY4lykxKdATriXSW8Hf/aj5QEifXPRYYS6C7gSMbt9JVraM5ndhdLmwOJ3anC8XlxuZNwe1yYB49yhvPruodNxbTmTFnPPmlBWd97cfzwG0TeHtTHb9dX0Wy18618wuHfG7UMNjX5OdQSxDzWK0mC2QJNgck7k5uYM+2P+L2FDBm6h3Ya19gjNJEuHkTjowZSD0Zh2VZwqnZiBx5Gk+klaXTPkbMUojEo0TiYULBEFG9k7geRWp4DEsiEfVmhUBy4XTkcvWc72Kbfutp12xEg+ROvQErFqX9h110bfwztoIk3LfdSlvjUdLyRMo1gUBw9gjBcongnTSXeKiF7Gs+cc7H7tr+BslTrz7rcTJdGcTTcslbOLTU+cPjPratW8+B6hhtnVUQDGPqBjOXf4KM3AlEggGiwSDRUIj9h6p4e38Li66YSjgWo8uVya0fXNxvtDWvruPooVquWjY8h+HBmFiWxt9WVuJS5CGJlTZfhKf3NpFqV5GA8Wkebpucg+0EfxvTtolkvQTDiJE3uufv1bqewrQptO7/BaYZQ5I1FMWFrLpQVA+ujJl4C5fTVfkUNknGBpzoBmwfczeewmv7r2nXT/Dt+yWxSBPuGd/l3U4/12emDLr+eLQL09CRTNDybJh+g1hNkPgv/kRSvo2G9nrqd5tYisq0xXcO7SZeJBimhXwOMhQLBIKzRwiWSwSbNx09FDgvY4frD5M28/rzMvb5YMZV83BtsbPD5qCsJJNidyEVm1+jtXY3sqKiag5smpMdTT7Wd6h8f2HCl+R46wokLEvlk8pobWrlb797iXDpWLri0OyL8O83jCfFNbD68VD41A/X4VYVxmaevmo1wPP7mvnM3CKU01jGXKFRpKXHMGIBfEc2Ut9Zgdt7PVFTQ0nOg2gLCkfQ9S70WCtmpIHOjvfQDnspvfb5Ia8/2r6HeKgOzV2EYvPQFtOJmv1zqWxs2Ewg7mdBwdXEuzuIvv02ksOG59YlyCmJ8GzLstjzzL/S1TgKR5IXb8bZb49F4jqHdx6i+9ARjtnszqQ0wbGU+6osoWo2NLcTzelEczuxu53Y3S4cHhd2lxNFs9EeiJLuGd77QCAQnFuEYDkLItFG2tvfOU+jD9wcifnrCbz7bsKpVZYTxyUJSU78TvzIqGmpaCUlQ54paeJ8qh59CHtRGbk3fPqcXsX5wpWXx9huP6Sksy9YxcJbHkKSJExDJx4LsXf9GrpMjRsnj0rUI1JlTkwS29bYxqoVWykuzCQ3K4nWeIh/WjadlQdaqGjyM7f0zH2LOrojbG/147UpLBp9+iR17xxoZXZRymnFCoDDmU16WV7v66zYNYmKCJoTgMiqFdiv/hz++r0Ejm7HkkzsdrBklbq3HsU7eg7JpYOHP0fbdlG17UFSMxYgy05yr/hR3zxAqcvOO7WriesRwkaYiekTGJVUzLMrv8XC+ij2j34aeZACjJ5Vm1Fuvp6oqdBdF2L9k6/0Hktk7T1NUjnLwpL6KkLbZJnCiaOZeNf1SMrwIr4sy0I3LSLhKJFAiEgwTCwYoqvTT6y+lVgwhB6OgGki19Uw6RMfGtY8AoHg3CIEy1mQnzeyH2Spd1+VkDCWBaaZ+DC3rBNeQ2jTpjMSLN7RM3B/ZiqHv/qhcyBYzr/5vLO+gaptO1l4U8Iq1BTK45VDT3J1yY14NS92ZxKm6eZfrhvLvkoff31xF1FDRm1spe5ILQ6nHYfLSd3RespHp6IYXYyZPo6MwkRm3IJUJ+sOtQ1LsFTX+IhKFl4Lvn3fjFNfRzBKdTDKveVDy2J8Ylp+pUeo9OJwElm9iraWCMW3341i628ZaN27hrq3HiVj2vU4jku4BxDzHSY1cxGpoz+MLam/z0lEj7Cp4T06QvXcWn4vABua91DbeYAPLvkPlJiPwM6HQVI40bvbM2sGo5YvGdL1jRSJCCoJm8eJ1+M8Zd/AundxpZ66DpZAIBgZhGC5hOjnTNvz7XIweSCdpl7OYEQrDiLnn4v0/+c/DfvOrTu5+qa+pGU5rjSKUibyj72/4RPTHwTA6bWhx+PMmJRL6p4D7I23M2/MVNpbuohGo0TCMcLtMUpVmZrQEVJz+iwX7+48xNH2II+v8jGY+8Ix4XBi+Hai2eIby/N5fksrm5/4DUVZ/e+pbLMj2x3ImpMXul3cu2DyObknpmnSFE8lfdIErF21HH5jD+Nu7C+YMidejTVhIQ2bXkDa9QbZ8+5CcSW2aaL+SjzZCzAiHVhGlLiWjKSlYFfs7GjexujUcmbkXEEgFuKFmo1MSyvkztKeJIXOdJJmPjhgTYaps23vV1h0Tq7wAmGZw7bkCASCc4sQLAIAJM1GPNSaqBVkWfQ9qQfGQUsoSCjIqh3Z5kTWnCiaE8uwkB3nv8idTZEHiAWvPYni1Ik8uetnpLpHMWnCLPK9CRGSll1Aw5YVjJlWPuh4Y+ifHfiO+eN5e0clt80/dUK2U3HnXD9Hf/sI2R96pmf7DizDxIhFMKIRjEgYW3QvijKw1tBghCJx7OrJt43qtx7Bke6hduUB7NkeIvU+DMNAOeFhK0kS+XNvJR6LUr/696RNvhZP7hhSx95HtGsfeqQNM1DN3ppdxEsXYphxkCTyvXlsaN5DXbCTD5UuQO1JzV8b7OTNvT8kN3UqHxhzV7+53tzzXdyOkjO4awKBQHByhGARAGAvLSWVqWTN/gSy69Siw7IMDCOGFQ+jR4KY0SBmNERo5w5cScOr1bPhtbcwjiXMO16MDFKduOPgId6cewVqT7/KcJRRzjRk75Vke68kYsT41aHV3FcykTRnGi7b4Onx27oC1Lf7yEx2k5eRzOH6VjYfagAgFj+7vDSRriY8/sMc+f2nGP3pxxKXpcioTheqM3F/x/kaeWvXKlSpvxBRZBlVVrApKqqiYFNsNHVLFKUNDL9ur2yiu7qNSHuQCXfMJWdiT1TS4gFd+2HT7BRd9y/UvvNX4h11pE5cjMu5oPd46Eg96W1+FEVDMqM81vIEk7PLuCl/BjIyDYEWXtv9XVw2D3dPewi31rdtUtm6icPNK8hxTSbu7BrG3RMIBIKBCMEiAECSZTIf+ArNP/wROd/8ximz1UqSgqo6QXVic6b1tuubjuAYM/6k550K3TS56oZlQ+r7s4nTGA/YZQmXojDfbsOlyLgUGY+i4FRkFqbeyq+rDlJur8OJn01dMW46YZxXtxxkckkWq3YdRZIk/JEYn71+9llkGu7DkzsG6XOvoz/24ZP2mTV21oA2y7IwTIN4PIaux4gbcXQjjqtyB8WjSwb076puY/TiSWe8PsMweOaZZ8jNLcK/cx/FtdVMWv6J3uPXXPtFAOp2vE1L3WGuKp+GEfJTUbGa6obDNDVvZfrCm9BUJ3WdO3HZUgA42PQGimxj/pjP0VV5hGDRyFTHFggElz9CsAh6UTwe1NQUDJ8PNXlojoaVj78GPSGvxqatpNw+sHjhUDgTV937S7KxLIuoaRE2TcKGSdg0aYrG2R3wcUd2KrIs8+Wy8bzZ5uPlPU0Uum34InHcmooi9yTaUxSmlxUwvay/5eJME+8B6MFO2tc/gV75Dp26zi6PTmqgmb2ZNr7ab4vt1EiShKqoqIoK9Fm6kqQDA5MGngUdHR2MGzeOadOmseWZ7by39RATrzOReq492NXKwZWPUzhlATNu+mK/c6OuzezvDLNhz1HuuPo2QrEu/JEWgrF2Zo/6OEnORGbbiso9lC/54Dlbs0AgeH8jBIugH1YsjuwZWv4QAEyT0o/eAEAl9D7wzmjOY6GrZ4AkSTgUCYcik3pcxn3Dgo1dQRRJImaZqLLEx6fk8edtFazaGiQSNzFJ7DSleU+exv8YsXiMJzY/gVN1Dmp10lQNTdUw2muJdtTjmfkxmmKtLB69mNyUTH7y19kUvPkl7l72izO6vqEy3Jis1tZWMjIysEwTV1IKixfkcXjtM5imicPlRY8EmXbL53sz5x7Dsixqmmq4bcntjMkec8o54rEILueJBRYEAoFgeAjBcjkiy1iGMazohpSPfISW//0/sr72VWT11G8PPRxB1s4+qVa8swuSzs2DbVrS4P4303Lc3DL5zLer6jrqGJ05mqvGXDXgmGEYRONRovEoetEsdFMnbsSZIEms3/kwR1t30ahI7G7by91nPHN/zNjg7cOJyYrH4xw8eJDrr78eSZaZcN3Hj5snTLCzGW92Sb9z9lTv4emX/oDsSuKfbvk0dtXOyh0rmTVuFkknESUnhmELBALB2SAEy2WI7HRhhsMoZ2Ip6UHLycZ95Tya/+d75P7HN0/Z11dZj6swd7jL7KW9tpbkgvyzHudURCLRYZ1X11HHqOzBa+EoioJLceEaJDKqcMn3sUyT2e/+D/97+CkaGraQlzfQZ2WodPo6aVy1p/e11JNMTVbPXJTW1taSlZWF3W7nvSdXkJSVSmNNPUVjSrBKbLT52kiJBJhU3OcbM6l4EhPu+iyrWmr52V9+TnpJGU4rzMyxgyeiuxwwQyFkx+mtcAKBYGQ4c/u94KJHdjowQ6Fhn++9+mrUzNM7S/oP1WFLdp+1k2pHSyuZ2ee3oq/DYR/Wea3BVnKSc4Z1riTLzJj0ERolk+c2/XhYY/SOlR1k9OJJvT+liyZSungSoxacudUoOTmZmpoawuEw0ViUan8NUxfMxD0+lc0HNlOaXcrrG17HtPr+rruqdvHcoT0EAkFKRhUzoXAMKd4UVu9azQsbXmDrka0D13yJ1+DR29tR0oXTsEBwsSAsLJchstOJFYmc93lSZk6i7smX0VzX4C4pQG5X6Hx27eCd+ydA7demNwfJXHq+67UM7+Gpmzo2xXb6jichObmY3838Nz657Qd8ftijDBrdPWzS09OZP38+j7/yOHFvjLmTruDdlo3ILTLXz74eRVbITs9GPi7curKpktvn385jbz5GbmYuN81c1Hts9e7VrNm2hpmjLy9ri97ain3s2Au9DIFA0IMQLJchktOF0dV5doMc94A8+Mw/sPREArHepHKmSayzC193Z2/eFml8OanXFZ/xVBVb6lDO47fxWDzC6CPPUt9x/LbT6eezdVeih2vYazYjSRKK5kbVPCg2Nza7B5vmxaZ50OzJaHYvquIY4HQsyTKFGRMA2Lb9D8yY/skzXr9p6EOOMhoK4XiYlbUrmTZjGjN7agtNHz29Xx9/2N/vdTwe56f/+CmGabBs1jIM00CRE9tRrd2tfPbmz/Zfs2meUVHCixEzGER2uy/0MgQCQQ9nJVi+//3v8/Wvf53777+fn/70pwBEIhEefPBBnnzySaLRKMuWLeORRx4hOzt70DHi8Tjf+MY3ePXVV6msrCQ5OZmlS5fy/e9/n7y8vEHPEZwa2ekg3jD8LSGg3wPSMnTG3T242+h7K7bhzEojFoqj2C/OHcaOziaypy4nf9Spa/sM4J3/4yM3/wEAw4gTi/mJRf3EY35iMT+RcDuBrmr0WBA9HsDS+3vG1jZsZF3nAaScKdxbegvtoWbWbf5Ff0/ZY7f5xLae1zZFQw+GMRsUInt3ozmcOJxO7E4ndqcLm6adURh2NB7lsXWP8fErPo7befKHsUNz8PyG53tfpyalMmPMDDKSMth2ZBvPrXuOiaMmYtfs1DXVsengJhZP7stW19lSgztjeFtpFxOX+raWQHA5MWzBsnnzZn79618zZcqUfu1f+cpXeOWVV3j66adJTk7mC1/4Ah/84Ad59913Bx0nFAqxbds2vvnNbzJ16lQ6Ozu5//77ufnmm9myZctwl/e+5txsCZ16D+JPb21Dsyk0NgRpeOsIZluYpXMGZmIdCjG7wsYtdWe0MrtNYfrUoTn8+n1NpKafueXneBTFhtOZhvO4RHmnI779D3zz+l/wzuZf8m9Hnmb2xM9w1ewvnv7EHizLIh4PsWr7i+SML8amaUSCAXztbcSiEaLhMEY83nfCcVWNjxecx/5pWbC/cx856Wmsfu/Z3uNHHCnImX01j1RZxjtuBopqJ1lzkGyzk6w5SbO58Kg2Fk9ezJyxcwhGg4QiIZZfsZzizP73t6V6PxnF44Z8rQKBQHA6hiVYAoEAH/nIR/jtb3/Ld7/73d727u5ufv/73/P444+zZEmiQutjjz3G+PHj2bBhA1dcccWAsZKTk3nrrbf6tf3yl79kzpw51NTUUFQ0vFTv72ckmw1LP7vU8v0YxIHCpsrcs6ivDs62Nyvx5J95VBLAwslnHmlUWdfN+vU1eHM9TCo5tYgIB9opHTX8CJ3hMq1n++fahf9Bg6+Gv+79E4tmfn7IuWokSULT3ARjMSbNmoOinP0O7vwB+X7hic1buacn2seyLKJGnK54mK5YmO5YhOaIj0P+VnzxGCHjJO+r6l39XgYOVHJVCxzaUzNINaoEqixjczqxuxy9ViOn24XT5cLpdCDbhu87JBAILj+G9Qn4+c9/nhtuuIGlS5f2Eyxbt24lHo+zdOnS3rby8nKKiopYv379oIJlMLq7u5EkiZSUlOEsTwCcbdVk2eEkVl2NWlg4wCxumuaANl2R0Bwj5xJVWpBMaUEyVVWdbN3dxMzJJ99+sEzjnDzszwTLNKmt30DYjFGaM5OZpct5rW3bsBPrnc/1H/+XlCQJh6qRo2rkOIeW7XgwfqKVcFXJqbeEYnGdcDhMOBgiHAoRCIdp7+gkFgoTD4fBMHoTCh63S4YExCKdTIkfxmU/XiQP5tmdeG3JGrLTA64kJFcykicV2Zv4kVxusfUjEFwCnPGn4JNPPsm2bdvYvHnzgGNNTU1omjZAaGRnZ9PU1DSk8SORCA899BD33HMPSadIJhaNRolG+3Jr+Hy+oV2AYEi4511BaPsOVIcDe2pqv2NNnX4yT5KgbaQpKUklUNFKZW03pYVDfMD6GuH1hyBn8sBjx+k8X81mGg6+i83mRNVcaJoTTXNh15w4NBeqcnLxUdW8nT+/9x0qg414VSd+I0KZfejbSYMRjfiIRJqw2VwoqhNFcSDLdmT57MTMhUrvptlUNJuX5KQzLzlw4MBa1LxrcCYNIezYNLHiIaxgN6a/EyvUjdVVh1G/Fz3cjRU9PkdP392wJaUCCwYMJxAILgxn9ElXW1vL/fffz1tvvYXjPCRUisfj3HXXXViWxaOPPnrKvt/73vf49re/fc7X8H7Fsixi7Q2Em44QaTqK3tSI0dhOvHM3bVkuune1I0kSlmWxuyGOX84gvKUG07Cw+Yqw1YZ5fWMtHapFhkMjSVNIctpId2ukujVsNuW8fYtNSXMS6DoDn52kXMgoh4VfO3kf0+TwxicpzR5DPBYmFgsRCbbj76hDj4cw4lF8nV1EAmFcQYmZOen9HGjz9BgfnvBJwrLJ2OIl2F3pTPnLVL7YuJ3s3Oknn3cQouEQ+7f8DcuK4XDmY+hRDD2MZcUxiYE1eB6cUKCO9JxplE64hVg8SkXNLsbkTcDucPX7W1yKCWkjoQ6SPEMUgLKMZPcg2T3IaWeQoPDQ28NbnEAgOC+ckWDZunUrLS0tzJjRF21hGAbvvPMOv/zlL3njjTeIxWJ0dXX1s7I0NzeTk3Nq8/AxsVJdXc3KlStPaV0B+PrXv84DDzzQ+9rn81FYWHgml3N5s/8lAg07SHxjPJlQsHoOJ44HfO/iWvIV0q68Gc3VZ1UpO+Gs4/2sG6sOYmRB6txyvvncHmKhOJZLZfzYdAzToiuu4zdNdMvCCMdQo35sLo2YaVLmdjMmteehc5zDaLgmyKSelP/9Vy/1+3Wsf0tXmDaPysH28KBXmV4bghMDhGQV4hGwnUR4yzKKMwWPOw01eeB/k91bthGs7aZ07tXY1+1EW3xbv+OWrlO05nns13wIgEeeu4fPuseSmTWIVec0mFoFuSX/QkrG0J1YW+t30VxnUDrhFgBe2/QM2al5vLHzBfRYn0XBsCyavKnApZdDZTjba0PGNIdfqEkgEJwXzkiwXHPNNezevbtf23333Ud5eTkPPfQQhYWF2Gw2VqxYwe09VXsrKiqoqalh3rx5Jx33mFg5dOgQq1atIj09/bRrsdvt2O3Dy176fsCz+DoYs/T0HY9DaZiBFW3vJ1ZOR1tDO2VTJuJwa1yRm8K8ydlUNfhYMHNgSHosFKPmtY2UXT+HaCTKP95Zz7KpAx/gL4ZqKZs3dPE5uqdatCQP/oSp9g2ybTD9I7D1j3DF5046ricpk47uJrLS+0c/NdTW01ZZzXUf/wimbtC1s3LAuZKqgpSwXEmSxL/c9gTvbvol8jB8UVIcDuyBKiKhRlBtqCmjke1pyMrgyfYaqjbQ3VbBpLmf6W0LxQJcMWHxgL6mafLLA2+e8Zoue8Id4Dr955BAIBg5zujT0+v1MmnSpH5tbreb9PT03vZPfepTPPDAA6SlpZGUlMQXv/hF5s2b18/htry8nO9973vcdtttxONx7rjjDrZt28bLL7+MYRi9/i5paWlo56C4nmBoOPPm07XhOzhLrh/y9k1eaT5H9mzj9aNxrp87k0hU51C9nyummtjU/t+AY20dqG4nAHaHnb/Huti24y2+PXEhbtvwxefJhMoxjF1b4LoTxFtyPoQ6TnleckounZ2NAwRLxfpNzFx2DQCxxiaC7Y3oW94BLCRFQVZtyHY7it0J+7dhn5CwXhhW/MQphkRS3AWudAwzAvEIetUbmJHOxFaQBMebAmJ1BwnnzmP87L6ChlWNh8hLGVwA/uHIuyzJmTCsdZ2MtlicpGHUODoTzrvxI9AMnsFzRwkEggvDOQ89+MlPfoIsy9x+++39EscdT0VFBd3d3QDU19fz4osvAjBt2rR+/VatWsWiRYvO9RIFp8A16kb8h54kaew9Q+qfnlNEek4Rf9/3JvuPdGKYFnVtQR769WZ+/Pm5/frWvLOP8g8v6n2doWgUuzw4zyL1/VAwGtoJPPkzXMvuIfT6EzgW3IhaMBpcadBVCyd5mKcm53B48yoyU8twupzYNI03f/9nsieMJyk5sWUZDVSSfO0EksbMxTRNLCOOEYtixsLo3hTCVU9iZyaBcAcxsyck2DRhiNsZ8XgIzZ2NM+v0Ydntm16ErBJGz+6/PbX+wEo+dPWnB/R/vX4PuQ43k9LObeqAynCUQseZf9HQDZPH364kNXkQ8XrCzqYnOPz1DYlAC2SItPwCwcXEWQuW1atX93vtcDh4+OGHefjhh096zvFl50tKSkQZ+osILXs64erXMM04sjw0IRGPhLjTU0c2fpAtrl8wHtWZTqS9FZvLg+JMWFWkaLhfVlYLCadi40cV73FbwTjKvJns6WokckLG2LPBsiyUGYtwfWA+4TXP0fnkE6TEoyArSIqEs/03KDd8Z9BzFUUlc8suKt1lxMJhjFicWbfeSMZxhSFj7Q14x18FkLg22Y5is4M7IWg6u4vYv+bLPFHxNmneAppb9+KwuXBqbgqyZzBl0uAZhI/R3naQzJTS015n27onkFypZMxY3q/9WGHKwbLhVnRVc//EG0479pnSFTdIsZ25haW+PczYkmSuGJd52r41b1UMZ2lDxzTgPAtpgUBwZohaQoIBeMruxnfgj6RMSHwrP1Y35kjlT5AlGylNLSj2Pj8XI9RKfl4paVfehh4MEGmqJdbRjBEJE9mzksy7v47qsGNpTgzDQFESD7NSCcq9GcxIy+P/7VpJmSeFte3NLNjfwcvhxNfpeMxg+pQsSoqGlxMk1h1A9biRk1Jw33Qf9hlXo+YnBIAVCeH73X9xqpHTtDjZ9VvAstBbGlB9Bwg57WCzIzm9tO1awc5MP/ZuDw7VjcPmZmL2ol6BsF01SBq1hOvyZ5LhLsUlewiHOwlHOgifZEtq284/E44lwvQ7m/dw5aT7aNn2KkpSNkl5Y7C5+juk169eRU21DSUlhcO163vbU3PTqJMPMn/8NYPOow5RkJ4pft2gaBgWltrWIKV5Zx7iLBAI3h8IwXK5chab/EpaKQf3vkb1kXexKYmhDNNEi6Vw45iP4ut6hKTp9/f2t4wYSCqSLGPzJmHzTuw9Fhk9gSN/+CqHdu/EQKOrYh1jpy9msdfNaCOdLbsbgWbus14jjQwmJbsJTZX5wNweUWFZrNvayK69bSCBy6Wy5KrCIdfPCdW34sjus4gcEysAksOF48rriW5ZgX3W4A/11K/9NLGOHkuFJMvonZ1IGFjBbjr821gw+sNE4n4i8QBN/kpe2f8Iiqzgj3bhtaewePRHh+QTZOgxVm74IRNGLSU/fw4A3a9+m0DdUVLGL6R73yoaj6xH1twULL4PgJo33yJ5dCnzFvV3qLUsi5dfWUWo22LJrBPjvBIcaW3lr/oBjuUecak2bhk7qldQnoyoYbDpSDvzR2cgD5KLxq8bpA7Dh6WjO8qV40+fV8WIRZHOs4+MQCC4+BCCRTAoU6Z8ELl2P7MmLeltW3k0gF6/CcvbP0RdOkm0CoAjPRPHqGnc8On/JVh/hLYjnYRdXnbOm4JlgdLzwDNiU2g79B4YEms7+mwekiSxYFZfxFFjc5BHfrOe5HiM2z4yF2eSA6XHudd/pI7GbUeRXG7Q45jRGG179mGm2zlSVQWyhGrXsDsd2F0O7E4HDlce1pu/Jn10IbLNjawlIanuQasuH0M9lkgvNQOrIRe76sKuukh2ZpOdNJqp+dcCsLP+LZ47/AIfGH96sdLZcYQNu//C4jn343D2Wa8C7hLyr0psG7kXfCSRQff1n1L17Hdoa/Yw/qY7cRcMrOH0+pYGDkZjTLj65DWU5jpUPjS5vPd1azDEw5t3sCQnk0kl/f1aLMtib2UHVf4IqgSvNXaysaGLry4ay7ff3k+SXeVLV45GUWT8hkmKbXgfLUMRouHmJlzpZ5eETyAQXHoIwSIYFEdyLuqh9/q1WUgoBfNg6w+HNEblS79CVlWSC0ej2F10BnU6Iu2MKipm7zOvM+GWa6FHsCiak+yJCSuHt+VIv3G2NRxmY20FSBJSWMdh6Nz54aW0vLeVaNjENCyQJOwpHkpvvgJ8XUhOF7LLSZ3DYsF1c9EcdgzdIBqJEgmGCYciRIJh2oMRNmSUcUfHbiwjjKmHsIwwx6wOB3Y5KcgcfdJr7O7ywpzBj03Nv5Y1zfv5za7f9LbJkoxLdeG2uRmdMppJGZN4q/ottux7in9b9usBQulE/y5Jlsm69kv88ZFNOIpTqakysNXVAuD3x3A5bVhYGIaFWZjHjsq9VNbVIMsKWBYxM5bY3jJNMuXE2PFYlHWP/4lgVyfT7cm0TJzKS5XVLJ43G4/TwY6jHdR1hRhfkMKNoxOhvsun5vO7dw7z141V3D0uF49DZeW+Jq6dnIduWdhPkQX4ZKhOhWAwjtt96q2qUHMLXpFzSSB43yEEi+CkWANSvltg6ZiRdnzbfnJce6LSi2WZSJLCsYd9e+MRtPJZ7F27Dm3jXsIBP1jgSU9Hy/ey7clXGLtsIZIsIcsKsiojyRJmXO8364baA/zL3Bt5841f4Y+GufVz96MoMkU3niRt+nGVh490x9j7bg2QiEKZWpRCQYqTdtOi3ZAwVAcLllxLdTzClNETBwyVHFhN8bxFJ71HT738KkcPbjjuDvXkhEEiw+7gSzO+1K9/3IgTiAfwR/08UfEEa+vWUppSyoL0KYMmQjtxK6k1EORv+w/zmX+ehUNV+1kk/n6gkZpAX1K4rnYb/71s8Giv5s5uNlYkKmTbNDvTl9/EmidqsTn3MWVUAWp6Bhu27iDQ6SczrYAb548fMMaC0gxcdpXCTA/bazooTnae9D4NhTEFSeyr6WL2+FM73Ua6usmcdmImQIFAcLkjBMtlTCTcic9XR7e/nu5AI+F4AAkwLZPxo5aTmToKK+ojEOwiEOoiFOoiHAlh9MSQmrEQAK2hKJmuRKippGikLvjBkOZPU14l6GshJd9FuF1hycc/g6LZCLS3E49F+dXKg1y/ZS/jCnKxTBPDNLEMkyPBdfx47U4ipk6qIxmPlngQZqTkU1txhMPPrDtuFotwZ4gxN8/GnTfQ/6HIpbD8mjG9r5/aXEN3KJEPRZElNh7t4NVdUW4Y382U4oGCBSkRaXO8MNhW2UFVgx9FlpmaN43rxg5Mkgfwv/vX8kzNbm7ML8fRE3FiU2ykKqk4VAdRI8qiwkWMTx/PupaDicy9J/q6HGdhqWhtZ01tI1+aOXnQrZMjHSH+35UJa9B7h9sIuxNZfLta2knOTOsnftKTvATCfXlhUnJyueUrubzx43X4mpooLCzkmquuwPf2BtSkwbf8xhWk9P77nUNtlGe4qewKEzaHl2+mLMPNS4c6T9/RQviwCATvQ4RguUx5JlBJcUUNyZ5ckrx5FOTPxeFISdQDMk2+veYn3JI6AdPuQXOm4HFnEXOVsL0lypHOMEfaAxyo9/Eh6Si13WGuHZ2B8wyt/EFfK5Ou/CgAG59/Bk9aYjvB6UlEuXzudohWvEnxtP6WkjvGpbG7bjfXTrqWfW/+HV+gmk3Vh7Esi2TTxrgPLezXP9zWTc2KHbQfbaN0yURsLgea14E7P5POWP86O3fNLuLlnQ1sq+lkSkEK918zBrddZeXuNYNeQ0S28dxLu7E7vCBBOGZQuaMVb56bcFuEtjKJI1Y7LpvK1Mw0XDYbLk3D7XDwwLj5VAba+NedK/n38VeS7fRimiYRI8KPtv6IB2c+iFtzA9AWaMDQoyjHlQqwLKu3FN8L+6vY3BHgKk8qb+1uTAgbCSSbQrZbIz/djXycp/X6ynYevG4cR7bvp3rrbpRwGC0jHUdaMnowRCwUITV5YPmLJLcbZ0pKr0hLWnoFbX98Dlt2OraslJP+re+/pi9nibSz/qT9TsVFUzE5HgFVJKwUCC42hGC5TMnNnMjs/PmDHpNkmezcKUwoW4xd7XsLPPDmPrpjOoebA6gmjM1L4vbybEYlu/jhxqNMydR7Q5yHgmVZyIrK3jUr0I4rlhno7kK12UhvXEsbOoffeRosqK86xNjJM8idsZw1BxMCoq3+CLPu/BdcnhQAvN/7HY0rNpN7zeze8ZwZyYz70NXEugN0H6ylZXc1DXuamHf/daTZB6qsnGQH0wpTuHna6QvhpRZk4MmLU16QiC4ydJPwkhIiUZ1YNM57+w9xx8zJ1Hb5+JfPfJqXn36q91xXSipFU6ay+MEHeNrxHrIk44sH2dq6hz8v/CpOW98Wilt19BMrAPFIEAOZ2s2HKDEtFo4bRWqGu+/+6iZGROdAXTf/vWk//7Y84UAb000UWaK1tpGmfYdY8k93AaBHY/i7/ciWRby7A71jYFj1vM9+li1/+xtP/u53LFuyhDHLluG9ZiGhrTtIvn7Rae8XnF3154tCs4gstwLBRYkQLO9T5mWOZVXzAZbnJ0oqtPl8pIUaobadW9PcfOUj/ROKSRLMzl3Ae3WrWVCUcI71hZup6tyNpjjQFBd21YlddaMpTqLVVZjhRGZXX1sL826/hwO7drJ57RqSkpPxtR5larZEWE0iHUCCojETSR3dvwhf+dLb2fP235lz62cBKPvihzn4wz/2EyzH2Pv4O3jy0kguTKN0+Qzsqd4BlYh/884R4obF5xf3D/XNTcmktrWawsxEVE04ZvDBR99jfqmDK4u7KC9I3CdFlfGoMh6XjedX72XpnER7YUoS6S4ny5cvZ9k/f5G758ygqamJb3zjG7z8hc/zSE3Cj+axQ+/w3Vmf7idWAOT4wMKNRqANf41O9pVuppYN3HaSVJmIIrFxVxM/uqNvm+jxjdXcPD6DPS++xuJ//khvf9WukZqVsHJVrt1EVEsjuGpP34B6DF/DXpzpqXzgAzfQePgQY4DAmvWkfWjZgPkH41iiuuFgmRbWxSJYRJZbgeCiQwiW9ylTUgtZW/EWy/MnUdXczMr16/n0okVkp6Tw4isr0XUD9Tg/gQ+MzuT3u1qYlStzuLOSstRSVh7+K9Pyl6IbEcJxP13hZuJmhKgeJhYz2FC7gy3P/wC3bKfhnT8SDYbpdnQSVsLERnl4R7URiISYZ2UBIOkStTv3A/upr27iWf1VsCzSK1qo/OsriYVY0Gkms+XVowD43ngDpxQFLJLHlzDmlisIbd9OdNN76GlpRAIhukIxOkNxOkMxKpr83DwtnzUHW1EkCVkGWZKw5DzePfAW1yn1gEVUN5Bjm9hwwOK33/k7NZuv670XSSmpjJ04lSWLlpOLjXhcJ+r1U91SjUt10RKLcyAQxpmWwQc/dh+vfOgO6pqayMhIpzsWYFzywG/vOQXzOLDvH5RPuL23LdpWj6E4qGk5Qs0JkVN5o0rIzS3EZVfIS3Xxq5dXYGUk/jsfbjLJ/dOzlF5/DdVvvYHeVYXTbWIE/WRf93G05GzsZj12j0Xu1XN6hU6k00fKm91YAZPgkUbKc0vpeOodMGUk29CSzHWF4qQ4hpeQLhTWsTkugo+kiA8cw0tUKBAIzh8XwaeD4EIgyzJSj89DSXY2qampZKekADBp4jie/PuLeJOTwLJ4+UAlE5dfz55GH1+edTX/2PtLAsHRGJZJSdrUk86x3+ji09O/OOixYDjIV57/Cp+Z+xlmlQ6sk5O8KYui0jxSM5Jgfn9rT79E9R/oq7Z8TNQE1qzBe+116O3tjDZ9HG0LkubWGJ3p4Yd3Tk348VgWhmlhWBamCYZlMb3wNjRV5VjWvU49xpVlmdR41uEshQl3P8TnF5UxNR2+9pWHeOLPD/PpD99NyZh8Vq1YT9wwqOuo48tjkokF6tDkNJ749W/JLyxmX5POir0rSU2P0eBvIM2ZhkPt2wKaOO4Wdh96mcMHXqCs/BYAmiMHGXPrjbjcA6Nm3n3tdaoqDqJpdpJsERblZDBh8nSqO9t4dNOzzPj2f+BWJfRQiD0bt3DlB/6dprf/gHTMsuOK4h09mtoXn6Xw5luRZRVHahKODy1m1+Z6tPEq3cEY3pYIRdcPvdZQbUeIwhTXkPsfTwQTx+m7jQwXxd6UQCA4HiFYLlMUWUE3dVRZ5cDRI7R3duMPBDEtK+GsiUTH3l0815p4RHg9Hjoa2qk/UEXQ181ouwfCBpJNZdy4yWyo7SI5Cqu2N7I9bjC3oJjb8q4/6fyGaRCMnbxCndvp5vYJt7F6y9/Ib6vDDPswNS95s25AsWmMmzyKXZsOMOfqgYIo5g9R/9p7WLHjaw5ZWD3h0LaCAmS7hnfhAkZJa/EUpQ4YQ5IkVEVCBX75y1/y3HPPsWLFin59RmV6CEZ1xnoMUnJdzEjVeeylDYxOtnHdB+5l5b99jORMF6pN5drlC/ifn2vs3bKXW6+8AQuLcChMdnY2r776KjOmFeDap1JjBPlxRSVueTdJGsTjBo3+IPPyC7k1fx5b9/2dY5tVXYEGxg0iVgCyRhfRYfkwZYVkLQXN7qCxs5Ennn+B+268nszcPiuOpybhq6N602ld/beeP5BBUnE5jvR8/vDYa0wunphweo0b5I/PQFFlnKNTWPHmEUZ5h15Ju+VIF1Wawrajnb2+LImg99NggaRIKOape4q6YwLB+xchWC5TUgM5vLx3NQvmzmDrjv1cu2ge6Ukp/dKup3crhGq6cXjsSJ0+msLVFE8uQeoKcvC17bizUrBiBovb2/jsp2exfn8r1XV+2vR0smaPPWVWUkVWSLaf3Kze0bybwlVfJi9jCunl89E86fjr9tDw5i+Q3WlYho7eDJAQLHo4wuFHn8KKRDANi/Rr5pNz5SS6X36ZWG1d77itjz6KZNNo+p/vUfyH3w/pXrW1tXHkyJEB7aMy3Gyp6sSDRFpGGl173mDtn/7E2p7jkiRx6x0f4jMPfJI9kYPols7subP5n+99B1VV2bZ3Mzve28f111/Ppk2bmF9exLxAnBtD2TSHYrSEorSaOrePS+GN1dt4XHmTdN8q6qvbsedPRGto4tl3/giAYRiE/TJJWX3iKxaPMWPMDELREB3+DnZt28L0nCzGlfXPbuv0ZrBrbWIcy+NEj0XQJYl8QHW5mbQgj1ZfNa1+H/ctv6X3vKP72xgzMWtI97D3nsUkyhafefVn0zSJ6ibaaRLORTu7cHjPLt+LQCC4NBGC5TIlWU1l6ayr2LBzBx6vi6zU9AF93FEZNWrHbbeRPbmI5DEF1K7aRdQfZsYXb+4NM93yi1c40hQgEgxyy8Jc7nDdyR8OruQLE5YPGLMfg1jVd77zPVTNie3AOhxqPoGxi9CSElYEb9EUvEVTevvKP/gylX96ESSZWFsnisfNmAc+1nu88/HHUXNyyPznvm0hy7IwQyGSliecRE2/n1hdHdog6euP8a1vfYtvfetb/dp++ctf8o/HHsf6wDeZCLz88stIkoSiKBiGQUp6JoVLP0Xbhtf4yice5MVHXmVvaCshWaKouBBdj3Nn6d184ZN5JCcn89vf/pbvfve7KEkaSUkaScCx7DCH11Xi3d9NZFYzsczlZM26HT3ko3z0LKZn9j381772CguuSGyPtcV0fl7djF/XcGqp3JmfxN7X3qZsdhp7Nx0n1IISSdoMvO7RqC4HNpcDxa5xYM/jvRW5rxibcHR+duNbxPUYtp6Q3v113Xzg2pNn+T2XyLKMUzt93HywqQlX9umrOQsEgssPIVguU6S6Tch7NrA0yQEeD2xvAM0Ddg9oXhq31uOV7Ey8fQq6Zad5bwtNu94lozyfoqXT+42laCrOTbuwbT5KZUsqvlCIoNZAY9IocgvGnXQNOa4cfr3z19R1VFMeyqY00oYjy0O2VEI8x4a7bA7OinU0PPtdZHcGx28cmBEfwXgrycE6JEkGJ2AEaX30V4njwSCumTPwLu5f9E+SJBS3G8WdCP9N+sAHCG3ditHVjXPSIInhTkJbWxvtTbU4FYkIMlfMmonH7cbn9/Ozhx/hkUce4dVX/8CHP/YAP/3hv/GJjQdJtmnkOBVGF/fdk2P5TMLhgVFApmmy9U/PoHnz+Pi3bu53zOZOGdD/+Ey4dZEY9+VnkGZT+PdD9cxNdjPj6iImTrobRUn8tw51NtFZtY2k7Dz0SJx4KEyguQM9GsauNrNj89c4sr6WwrHziPjCeGWLRzdVMWp0GR6vB8u4+Conh1rbSZ19cr+pU/Lq18BzCovRsbffqfoIBIILhhAslymHtj9HTaOGV9HBiLHJPY450jskksfLYFlIzRo1730fAAkLS5Jp22qDx1UkyYbHSmKU0s1YhwY+G0WFCkqHhOp1cI3dyfoXvkGnJ4kJRaNBdYDNCaodVCfYHNymOsEzhjVNYQpzCsjRxhE4tBH3hGRaN/8d75V3kFTwSVA0UOxwwhZTS/4mkCQyZw4MYT4TXDNnEt65k9D27bimTz/9CcB//ud/kvbhz/DDp3Zz2FTJSMsk5vEgGSazZ8/md7/7HcnJyax5+0kKc/P49rTR/OeqIM3BLv7wuzUsGJNBMOTnV3/9LYFAgOsmLcTwx1C8CevFS394hlhrDV6PSkamHSMSJbxxA1pJCVrxwIKFhq738wMtddnZ5gtSFYYvFmcz2uVgh2X2ipW9e18l2l2J2jWe7u4GMoqyyJpURkddK4e3b6Fk0u2kFU6gsOAA1YdfYfrc+3C4krnW6cXQDV5+dSUr1qzkhuXlA9ZyIbFiEWTXMIWUJwsWfu30/Q69PbzxBQLBeUUIlsuUFC3EuCmQec8jALiOtrDmaDPZmsXnylQUM5rI6Bm/FaJ+iIcTP3oE4mHWVZWQ667AHurEDIewQjH0kE7nDhNVOoREhLGWzrfGx5kaXA9mHAwdTH3AWroMjY5OhX1YEFVR330SQzF58/+uJtc0evtFcJEcKsYrGyArWJJCY12c3GxQbTKqpoCikOWIo9ptqHYJh0tCtjmQNTuy5kLWnMg2e0IEqVqPGNJwKjbinRH8f3gJ79zJfSJJsSVElmLreZ04b39UZmmKyu9DAQKGgVeV6PT52LpuHR6PB8uyCIVCHKg4wOrVa5gzZw4vvZXN3x9/i099ehEATreHSRPG8/TTT7NkwbVYcRPLsqj5x2ZyO00ynHNQZAXZp9H4k2exFduINrWQPohgaW9pJiWtb1svSVVYlNaXqba2dhNZWX3baabZzYwrv9Dzb5NXH3uOosNFmJaJsxg82SWoqp3M/Kk0122gquI5kpJLGDXxJta8t4XKvfv56O13n9V78JJEj4EiPhYFgosR8T/zMkWWpX4RFdeMyuKqwnSaw3F+tLeBf71iQu+xbc0+Xqho5srCVJaNStTjUeRqOrIWkTW2f30et27Q9dQa0j68BIB/PbyNquqdXH3NfYkOlgVGrE/86NHE657fz7z0a5r1LsamFeGN+7hh5jIw4mBEqe7ooiEYZG66I/HgMGI8sT+bmcWHiEWixKI67zW7aDMiTFZa2ROMMinWiaHHMeNxLMPAiutYpg6WSXM0l2Qf+GUNr7sSBwEkBWL+wWvdBGUHzf4CUmIh/lp8C0nxAF/LbuEXnQc42hmkRPIzI1fj81dl89zeLl7cHWJSrofrr72aJ/7rZr5zUwr/e8tnUX1BDrVFqPHpeDweZhmbsNY3ECSK2TSa3NFBikoUDKOZeNxGLKjTlCrzctsGPHEPy55xYyHjzEgiZ045qHbCwQBt219m65Y/sSt5KWPS+gKAHQ4HUXkb8xc8OOh1maaJa1QqU5YkLFXbtj2Ly9XnvDtp7mdpb9xLY806dq1/hHRV56qpDcyce5lVRB5KgFGgGTw5530pAoHgzBGC5TJFkSSME7KO2lWFIq/CB0Zn8uNNR1FkCcuCZIfKtxeO4fvrj3BtcRqyLDPvqmI2rD6KUZaGctxWjawqqNnJRI7U4RhdQHHZDILBTl555zmunL2EVGdyz7bQ4KGwN378R7z0yk8JqRqWN5+mUVdyqPMQkahG0G6ybsNuxi2+C7um4VDtSB0HeVZdTNRpsfDKHG7IT+JPb29j8ZJphKo3c7i1mjlz7hp0rtrXn2dbxXZSslNo1qOUTZ5K6YRFPeIpnhBSRs+/9SjeaIDwkTcZ483nf1KK+fpb7TSE2umKHubgwQoO9oz7xRfrGZ2TxaNf+AApM+dx3+e+zGtrK/nKXbPYHE0mL+hnjM1HrjNCV1cdDRt30amodCYtwRk7DLUJQXUMHTsycSZabky6aHU/Tr7cQe22AEfXtOAy40gSpEoyJipT295FqZKRFBU5koNlejGKGuk4shVFUVFUG1ErSuDANuwODcVug3qV+Ood2BwuaK0HJdbzd3KA6iBddZBeMLt3W6+pciuWvxncKYk+Q8hLYpmJopmnovrtVUiWMfCAJKNoGoo98aPaE+tW7A5Uu72n3Q6R7tOu46wINEP6yDgaCwSCM0OyLpPEBj6fj+TkZLq7u0lKGljU7f1G/W/vpjYg45x+O5Jqx56chSs5B09SJqkpA8NC1zZ2sq6yg6/P7/uw9vsi7NjZxIIFJeiBGEZHBL0jgtEVJbxzL9n390UJ/fdvn6XBNFkySUVVJI6V7ZPo+/cxLMsiGg3TZfPRoXawqGARL+7bQXdY56qscWTb3TR21FDWnU+mko8jzUnBgny++9h2poxK5fGKWpaUy6R5PbRVvJewJgF2TSE31U0kbpCX6mbP1gruvOszBLtbqDm0gpaqA9zw6V+e8r596h+38KtRH0SZdi///fe1VLUHORqUeWj5BJ74yX9QfaiRv/z+CbJHJSPJ0BqIUpiVjKH3bYUlpaRQPmkyv334l/z4xz/mT3/6U+8xp8vFpAnj+eEP/4+FV8wGPcqbK9bStvMNTFlBTcoibIQpnzoBqXErGSlZ1FYfZfEVV/dZrOLhxG89QnOLTqo9iGlFMPUoph7HMHT8IY3u9umo9n0YhoVumJimgWbFiLrbKdJ2EDdl2qKJJG8nxucE0gqw15TgleJYSCCrSIoKsg1LVpEVFUUBVbNQbBY2DQwzhSZ/NuNH16I6tF4xdEwYNdaESUrTcOfmHXcscdySVExTQtctDENCN3o0ZTyOHo1jxHSMWAyvUUWqvQVO1EbHvx70E82CnCkw7jSRbYfehrJrROI4gWAEGerzW1hYLlPyaSU/OwMW3Y4eCeBvb6KrqZr3XtiDUTYu8XksgddlYyMxxmZ5+okVAJfTRnJFF75YNZJDRU21Y8t145yQgeL1E3hvJ54rExEbX//UrTz5tzexzHxumT/5tOtr97fzvb98i5JRJVTY9vM/13wOWZZpCnfzj6qNtBpB5s4aR1lRDtWvJ9Lwf/3eqURiOjva/BRmZXL9+ByY0RcxUt3ZRX1XN9k2ja1HqyjMU/GkpuNJTefIrpdYcMdDxKJBVJsD+SQFHD9dchf3b85kSut2nq6KUlzg5nAoRnNPXSRL0lFTYrR3trL5YC0/+8UvMXSd2bNn8+KLL/J/b61Ei8V49Q+/Y9G113LT8uXk5+dTX5+oYBwOhdiybQfXLL2O1es2MHZMGbgyue3BHxMOhYmEw+ixKF2N28i88qPklsyi5aWfwPSPDrpeacsatFlXD2i37e8gLarjmjYw4iW26jm0BR9gw8NfZ+4/fw3JjPWIoYQgOnLwCG019ZRcl0VWsh30cMLfSQ/3+jrp0QjxaIx4xCAetYjHJRq7LLpD3ezaIWMacTDDPb5NBpg6HqkBRa0n0KMspKHs0cgqcs+PTVaJKwrtioSkqsiqDVmzIds0VE1DtjtQHQ5kh6vHUtTjBH7MGTzqg30v9jiIHy+mjuunR4RYEQguUoRguVwxdZATNV1Uh4fU/DJS88uQWt+g8Op8FKeDWDBER8iko7IDpT3Oi+trMUyL7pYQma1RPIaJzWWjRbfwejSyJ/T5s7hnTqDl909g5MZ6v9jao834I0PLkeHQNT41/j6yphSy6/A2Xl77D5bOv4VfH3iTf5/6QdpzA/x67VH+PT8LvSvKwdeqAItYSOczU/P42spDCcFyHMWpKRSnpgAwOS+bXzz2GNdaViIVv2my+bVHyRk1BcOIcXxVxFg4gGnqKMjEX9/E8i4XdfVj2PqfD7Bhz9/4YpWL59esJ8nXwJp3V5Kbm5u4BpebnJJiRk+ciOl0sbK2npnl47Asi8NX38Cu9/4fB47UYoRCzCwo4N6vfQu1bSuHDuzlZ0+/w7Kli/jRV/6JhXOn0r29BUWz49Q0FM1BWnYREV+YurXP0VJ3mFf3PwrQW04hYMTYbYxlhi8Tx86EGPKFOri6+yjJdjdWWMIIQqRzoCiQgl2g2im/9g52PvUw0z79XQDihs7r6zcSb4MP3vfVU/791J6f42119esOMGtqMe6TJXYzzR5/pj4L0YkWo8Tvkx+34hGMaBQ9EsGIxjBiUfRYjGgwiKl3Yep6wvnbiIGpI5kJR3Crx7n7eJFknSCcLCQUOU7G53KhYObA9QsEgguKECyXK6aeiHg5gcKrF3DgHy/iSksiHgxjIpNdVki3L0BWRhoOu8bBpjbSM3NJynRSfkUOsirTur+dipcrkY5lIpUgnlSIdGgtecWzwTIpnORklz/GoboWxhScJpeFYaGaDtLTM5lgTubt7Wv52e5X+eqkm1FlhWd27eWfR+VQ/cpGcieNQfHYsJcko8d0Dr9RgxzSe3OcDIYiy8halFdX/pXOrhYU1Yk3MxcjYxSp3gzsmhO75iTQ3s7uI5vQLZ1wfSX2mjak3HGUFmfyzpNPM+mmO+nQV/HliZ184qE3+ePOJ8GVQTTkY9X+DibMWshH7/0YqSnJfHj2TKrqmnlh1WbcjYcYVTKKbI+Lo4qN5KxM7v/Sp/D57uSrX32QnJyDNDU1sblVZ+fGVq6fnc7V08dhxqPEo2HMaAy7y01yQSmT0k0iXdVYkszkuff3WgAq96/l1iV9D9ZINJXnt9eQ5VZx2ezMKpuJqg5SiHDN/wHgHDeXph2reHb1GiRZRpZh0cyZvCANbn06HdFQ7ORiBRJh63KPdWOYSPSJpTPCNBP+Sr3i5zhRFO+xLrUdpOb5xxNWIYFAcNEhBMvlihEHWSUei9De0ghGjHgkSFttBVqRg1ELE3v5jz/zM67Knc2V03KpaqwjEo1hucLMWTaKjvog7z6xHbd/J5G8cip8Xu772PHbPSXs3tREUtl8ZEXGU1vBfCxW7DzKpoMNvZZ1y4KMZBeWaaKpCleML6ZN0tmJTuvGWmRFIuKYiSvVjSEp+MJhcjwuMieVEjjaTKevEXmvSW7JVFRNpfymUsa+Y/CTqmZk+di35IGuC43TZvKlyXN7X1uWxb6DW2hsriIWixKLR9GSPSxccCsuW8KX42fFLzHucAfenBwURSHLa8djSejH/qtMTYT6fuKGa3jy1ZX95lMUBVW1EYtFyc3J4TP/9G/s3ruOtvZW1nS04fF4CAaD5OTkcOWVV7Jr1y4e/MJneHLVDt5cvZat23dwzfU3MXdcMarTmwjPBsrSEhWc96z+DoYRQ+lxaJ5oavxg1QryM/L6rtFVSq0F7d0+Wt/6CzNyi7E53FgODdXjweevIwMDL6D6O5GO1pCdHKFLDzB+yUKSnS4mFBawqaaOOUUnzw48KBfJToquRzDNMIpiR5I0ZFntEUvOxLbPKbCQwDOwmrZAILjwCMFymVIZT8XXHEPZ+Aae1Cx0U8LpTSW3bB7GxhUEnngaJSuV0SmZFOUkHniZKWm8vm0VnW0xMCGj0MuCe2dSu6KDt/e/RcS1hM3vPYXH4eoVB6YRpergu5SOX0BtezMLJ8xm/A39HwqmadLS5QdkonGdFzfs41BTO6mOCKotEfWRDkSPmvxXbS15eoTMqj3sir6HlKGih6NYQT9p7/nAZkNSZD5uV2kI2Zkz6eR1a76zey/+eASXYuPHa1aiyNAZjvCd5Ted9JxIairLP9X/eEm6m45g/2/daiTI8uuu5bE//Zl/vu8+Vqxbhz8QIBaLAtDa1s73/vdfWbhwIdlZWbS0tGCaJg6Hg6amJp599lkAJkxK5E5JTkklKbuA7UfquWpCEcszu5n8yR/03cN4mEi0u1esANw4cS6hjqe4a/I1/e61LMuYpokeLkePBIiH/Ty15yXml4zB6Uxjl9PNnEM78P3151z39Ueoqd6NVtnC5o4GXm08jGVZpLR3DkmwVNRVUFFfwZxxc7hYFMued9did6VgmjqWpYNl0NXWyVU33XbqEwMtid9CsAgEFyVCsFymNJHOzMJM7Atu6de+acVRZlx/J7Ki0BTsJLQ5zJZ312JZFobf5Iq06aTfmsmW16qQlMQDKB7LJjVvNX77Luqtpdw6Y/Aw4uzkVA43VjG5eHy/dlmWyUnrK4RYnJ3K82+8y8TCfEaNGY1qsyUesPE4YBEOhejKi+JNKSQtuxzTNPEdehK8bmyuEixdJzcW40BjBXBywVJrpPP3mj34onHeqHXz2keu4JH3Vg/atzsc5o2De1i9LcJDU/ofG5XppqsrTvOKhMiQkNBDPuzZOeTk5JCcnU1KaioTJk5k48aN7N69m2g0yty5c1mzZg3pXg/Z2dk0NjUNmPdvf/sbS5YsoampiW984xusf/Ml/JP/Rsve59H/voMHrxtLQaqLT376n3uijX4EQFJKEqkZqah2lUnPTCI9NZ0NVe9yoH0fuUn52DVX7xymZeJTZMrH3owsyxx99290vLuKrB89TltnA427N3LFHV/gWD7hxo5GKuKxAWsdjAN1B5hSOoUnVzzJ3KSEcOro7mbjzl0snDOLvYcOoaoKGampvcK4o7sbm03BZXf2K8Z5rlA1G+Nn98+OvGf96tOfGGhCsjnhuHsnEAguHoRguUzRTQvbIA8DyzTp1lUq9rUxcXIOi66/EQBJlmjc2ITmteH0apQVtBBvrQUgHj3EhDk/JaXg5DVcdu/eTVV3A0W5Q0u65Zc0wv4uNq94A8PfBEn5KIqCJMtomp2aun0svWEakBA8yWV3Ub/xyzg9ZVhYSEjE/d1Uds2jMRSlJRynPRonEO/L8ZGrpvFPo4v42soDPHd3GTZFxmGDb7zxHLIEiixhmhKaYuNwaxf/b+kikpOK+eHGo6iyRM9uE62yyYb4BP7nmkW9Y8f+s394tGmaNDc3U1ZWxoQJiaR8mqYRDofRdQOn28by5ct57LHHME2T4uJidF3nE5/4BPF4f+uN9cp/UXr1JH5/qI1XdjXyifklxHSD5fOn8dgzrwHQ1NTEXXfdReWBSkpLSonFYpR2QmHSeMJGlHBnNxZ9uV4yLBfbN73E9Nk3YHQH2DduLuufX8POzjXcfvPV1HbsJNmZS5Iziy2Ht3DdjOtO+zdctXsVTe1N3HLFLSR7k9l+ZA9pZR4qq+qYUF7KG2vWkZGeQlF6Luu37KLoxjwa21p5+qkVxDpANwxuuXcu+UoWjW9Xo2W6MKt9pF8/ivqXKsn/1AS8Lo2uYIw9+9pobQlyxy39a1dt3NFEa3MQgJwcN7Om5hD0Bamu2EVSWgapmXl0d1YSi5z2crB8zeBMOX1HgUBwQRCC5WKj42giOZasJtLFyyrISs/v4173HlNBkgeEYlqmiXyCYAnE4hyu86HmeZg9s4A9+1uIxXQsScIyLOoOdzF1QSbOuipCe9ZScG+i7kr3gT/jTT519I8iSxytr6I4bTqvr6shEI73tquyhIKEZpOxayp2u0JzZ5jSvDDW3seIGxAt+yzRaJRwuIOwy4uWFKOp5XGUtr5rWBcqpsA9qvf1vlCIPRXNzM5PpjzVTa5LI0lTeh1xf76lmnBcJxKJ84O1fyHHnUF3oJlYqBpZUkGSmD5qMaFYhFRPEm8d3oav1qLYMx5F6bufEyIyVbUhglEdt11lw9EOGhSZzS+/jMflIhqLoRsGms3GU9/7Ptv+9jgPP/V3wuEwTrsdRZII+7qJhkI0Nzbwm9/9Hl3XkSSJeDzO1Vct4L++8DV+9OtfsHn3DowuP//1sz+y4deZ7K9r4YENNxDfdYQk006gRUFTZNJshXzvmz/hjo/dyP7N1aSnZaA2OtGcTjw2G5JmwwiE6Og0mXDtWP6w4j+54aqP091VRd6i2/nVi838zy1Xou1XSHZl0xWqpaFrNx2Bw/hCSdjVk2+bHaOqtYqc9Bxe2PACqUmppERqWfXiS3gKSynOzac4N7/vb3WoEgBfMJFtOGWMih5SSEtOoXtTO6PvHY+qqXS+WkmkK0J3kYumHS1Eo3ribyFJSJLE6ndrcThV3E6V/RUdKLLE7TePBeClN47AVJi6cCHhgJ+je/eQuigPlzsPX/t2/F1taA43Ns0+qLN2pLMTx6mchgUCwQVFCJaLCV8jof+Yhxk3sYAwDnySGx9umpR0Furbeb3oKtI8/oHnyiqSJGPJCsgKm41cdnSWwZaq3i7b67t55KOTcdkSf/bpU/pbQ6zZ+ex47lscUVzkzuyrgizFw/2cFaPxCDuOvEcw4keSEs6uvh1HSG9RiIwxmDM5ixSvBkjopoVumsQNi2hcJxYxCUd0pkTa8JlpSLPvx+bw4E1KI8ObRmj/70ie8fFBb8+DVS/wzay5TO+x4iyYaHLPP7YjATYlkbVXksCw4FAwQnGGC6dNJcV8lRK8JEdbydEU7rjtO6zc9hKazcFVkxf0jt/h62KbfQ9Lp5f1m3d7TSd/PNDI9ppOKjpCTMz0UFNzBMMwCB5XhTkWj3PrV/vS43u9XpKTk6mrqwNg1TvvMG3GTJwOBynJyXR1J/x31qxby9Xr1iJJEldccQWGCU1dfko+9B8ApHj/ALJKQ9xizNS+6Cu73Y7L5ULyhimamA4Tr8eyLKx4HDMcxlCdhNbWE2zqZH7RPezq6sa//22un3wHBakhaluraPcH2HLQQFE0IAeJXLq7qnj6nV3cufCEvbETuG/JfX3vHctiRcU/mDyhgLLZVwzo290V4LV31lJf08rGeITyUCt5ajLxfU0EW2PED1qYqV5km0TOrBxqusNcs7D/dt+Bwx14vBqmbhIM6SxdXExacl/EUcAXY+feVjSjFinuR5YSosSmOfCkeln/8tvocQPLkFl+3529hSKPEeoM4U69+CpUCwSCBEKwXExUv4sZM/E89CR/3u8jnxjJmkRzxOB33TZkl5+mkMkdM1LBTCTjwognfpt6T1vi9RLTgMmLIbWkb/xZp55ekiSmf/Db+KNhqirWcPitn1J+5afAX4fsSGV/3QHqWvZiU+1MKZlPWlJfPZrNbUdxBbuYPjYdh6cvnFqTJbRjeVSdNuhJYmjPSyI9eQZNOw/Q4rZTJNeg5kbQYx34tv0YA4WK7AXMyZ3G6oOtZHkdPD59Ck+teomSq28j7O8gplvMdrRx06hibIqMpqg4bCpvdAYZoyVzQ2YybeE2lhQsozQ3j+Lsvof9moNxsoo87HxvVW9bY3OYG0snsPFoO9VdEToicVLtKuG4QVaak9WH2/l/y8b2fjvPyspi586d3H///axatQpd1+ns7OTOO++koaGBHTt20NbWRnZ2Ns3Nzb3zhCMRwpHEHoWqqkyePJn//u//5tFHH+X111/HNE1sNo2v/uC3BMNRklWDh7/3b4RCvoQoVWygR3G43EyeOIGbb76Zv3z1H+SOyUBWZFxZTuxejXDIh91lI3/BZPKZzFwA60batm5k2oaD7GkLMXpULmY8xKTrryYlMw2Ad7QjPLvpCLfPn0TL4XqIW2geBygQC0VJLcjE7u4fmhyIBNAneSibOVCsANxzywd6//1J0+S1V3/JlbNuRPJbON0hzJiOfqgevbkDGEUgOrCIZnlZ2kneuQkWLSzCF4ixs6aVW+ddg01LWOcsy8A0Ylz30VMXcwz5oqSUXmb1kwSCywghWC4mumvB7obRS5glVaHpOmVjywgGQ2g79tAWCLI50s139yn4DIVPzZrBuLLS3tMru0KE9BoMK8qUjClIw8zY6bU7mTxlOaa+hB07X2CrNoHAhpdZlpfPtTNuH/Sc2deMInSVzpsrq7n5+tPXYuloq6IjPUjE60eRC9lWv4UrM5eTMudbbDy4ia6wj3hjJYGGt5mMDbm5ibAe4PoZn+bgun+guZLIKS7nk/U/4Ujdv6OnFBE3DSKRCGbDk0TzclkbGYtuQXpKIQd++WOKv/P93vkjbRIZyXZSvS6uu2oaAI/vrmdbIMbcFJnbp+QSM0y6dQOPqvDTtypo03V+tbeBqGkSM0xUWSYnJwen04nD4aCoqIh3332XpGiUf7rnHpa9+y6KLKNpTu6856OsXfU2paV53H33XXzpS/+GXdOIxmJs376dO265Bd1m6/VnmTRxMjfODOALWtS1RcjKz6ajq5vcwjFcd+dD1LS0s/7FH7Fu3ToAFt0/h5SkZObMncu3HvwWP/vWz/n7C0/2Xm+KN4W5V87lG//6bXLq2pjxuQ+ROWciAIZusO5Pz2JzOZCQsAHTOlrY+e2fkPfxu/8/e+cdHUd59u1rZnuVtOpdtprl3nvFNgYb24CpoYcEUkgghAApvEBCQkghhNANwXRjDC64994tF8lVvXdt0fYy8/2x1spCNiVv3i/knL3O8bF25plnqjT33uV3IxoUeFwehBAo9WpqT5Tj9froqPOQPCSdwmHZ1HXUkWLp8dh5Sko41XmG/uNmYdGGDY1j71xFSBRJajhGf1MRQUMipqk3o72g7eOra0Xyhg0Vo/ab/2lKTTYQGydS5dCivmh7a1s9UkhBU00Zqdn5l91ecttRmL9CPyhKlCj/MaK9hL5FSCsexHN4P4Y/HMIXDLJz72GunDYBgDU79iIKIjISHS4P35kxCYVGw3MldZR3ecnQqjlmdZKhqmFyShdGlZH5uX3zEI7sO0hLIJyMKVxowPKFTj8RNVWQKauqoyqgZEZq7CUNIFmSWDh/VuTzqnXlLJyb12fcF/n8QB3zx2ciSxKNbVW0VBdzWDKSZ9Azut9gYkzxHC9ezfAR879UKj3UWYPr88cx3/URACUlH5OTM4PmQCeeUJDOpt1YKlahC96ITxXL4GsXsX/5RyTl9Cd39DjW7yzG4Q57O3Z1+nnxliksq2ijyR2ukrFolfiCEu/sr6afXsvim0agVylIz+pH0OeOeFhWr16N19uT2alRqwmGQoRCl2j0dxm0ei3eC8eiUqnYvuEtLDESmYWLGDVqFBUVFUydNJhtO48TDIaYPGcBB7etQ9DouO2h57hhTB4vPvd7zlaXM2HoKKxeJx8s/5j2M+1UH6/ib0tf4FTpIQ4tW0nWvJlfcTTgb2zHufswlpuv7rPO2eTEVtOFIl1J9dkmvEEvDfZGgu2dpMsSsf5y6tSxHFWLtCdUcYujhUJrC/6M6chdTbS2F1GhiUeVnM9Q8UJysCggNYeImTCQkrI2+k/IQK9VYtArMerVKJWXFgm8mPKmStw+D0NzBkWWNdWco7LkPM1lkFU4GAFw2f2Y4rWMvDL7wsm6qHlyHtm3/BCG3fzVNytKlCj/NqK9hP4LCdZXo0oLl35qlEoCF5kS10yfBMDNnx9AUJm5UalGKYpMjTczLcHM9mY7K2YO4u8nY7CE1MwZcOlqnWZvgBkD+uNpasTb1oo5vxBz7qU9Iq1HDzMgQUv/axZecj3AqjVbe302mTV02rxYYr+emqkgiqQn55KenMve6hYGpsZxxu1j9fl6Crs8DP8KL5HCko3ocwDgdnfS0LiGQYNuJK2lA+v5nVhq3kXjcCDl6Kmqb2T/p2GvQ+7osKDcnCnDkXw+lDodZzfv5sH1R/nh+CJuLeh9/crOdFDe6kSv6kkCbm1tjcj0d6NSKgkEg+hUKryiSCgUQhRFBEGIGC+CKDB16jj27TlC4ELTRJVGFTFWlEolgUCA6XPuQZYkQtLdkfm37zpxoZpKQSgY9sZkFgwn5HTxh4Nuhs6/h23/8z2UCSY07UHcBysxKESGDEjmR7d+hxt+to3sa3oMTIvFwpgxY/jTn/7E0KHhnBXPqQo8J88B4Kuo6nV+h945jUIMd+3Om5SKMc1IaualE7LHAOlbTzFySgEqdY/irizJlL93hOsXDUdr7Fke8gXwu4MEPSHyY1TYu/y0tbmpO9yKMd98oRv0l2NztpEfb6W0uQ2vMzze47QSZxmHtijAqKtyImM3Li7l9J5GlGoRlb8VdzAeTFENlihRvq1EDZZvEYHGRnTjJ0c+GzVq9hSfZPLIoTQ0NNHaaSVWJaIQZOZuPkY/g4FUnZokjYqWg0f5uOw0LR0N2GKS8XTE9ZpbEMKKs22Hd9HptqJJTCKmaCDNWzZf0mCRJImmo4cZdt+PLnu8HVY7fl9vvQ6HGl7fXEaq6ghXm2KQAl4aXA6a0udFzC9BhpMONxf7f0KSRJXXR6pGzVv1bfyqfyo17V9di1pWuhm/Np1kt4fqbe/RT0ymfsff8bnqyZ33Z8RpP0aWZUp/+ANiJk8CT/h4z7z/bvg8QwGCXh+iSsUom530a25k3dqtlOeD2XChQ6QACeouznjsFJeLqJVahowaw8DCPF599VUeffRR1q1bh8/nixggTp8v0sFZkqRexyxLMjt3HOi1TKVQkVeUh1ar5dixYwDMmTsXv8NOc2stVoeHhoZWCguz0ShU1DV1otToaG2qp6v+LEMyfsIwvZLXF7+PMSaJyopmNIKfRs1qYuP6EQjpeeXDV9FptQzJyeavDz4EQLvNxt+XfcJVV1zByp8/RardiGTWIYzLJ2vmyD7Xe8i8HJzNbgKuAOXrq0mZkoQxzYxWp0apViAIApUtNRSXnOGGWVcRCoV6GSsA/vouTFU22v74exK/cxPaC2XgCo0KnUYFcdCd+hrwBhEbPYyf3Z+vR8+zbG1xcXJbHVpjNukFscSlGHqNnH5bIT53gIBPwl9djgvA+PXK8qNEifL/n6jB8i1C7mpHjM+OfJ42fjQVFVWs2r4HhSgyPL8/T1jikP1+3t+4i+mxPUmI88YNIG/UIMat+gxj/xyShly6wmN/WwOZ1/SYCi2X6cXTuGsHmZP7dgHu5mxZLft27+Puu3tE5F7+yyE8/Q2MSK7HkDSI5AFj2bLqaRL7j2T+iN7JjOXVvUXUQkC2Vs3fqptxhWSUgoAck8nhfR8gBL2EWk6RNvYObNZKgp5GlLr++EUt3oodjLz5Jf74/nKSrSL3PfgsFcs+Qm/X4G5swF5XS1xePkk5/YifvxBlTAyXZeVKhhRkIwoCjo5iDKGwoWGztTMwaxZLDh3FoE9HRSdxWi8e2UBeXh5ms5mkpCRGjBjB1q1beeihh/jRlClkXH01yDJJSUmMGTWGtevXXnbXSqWShIQEtNoez9R19/+It95eQqLBTFFsDMs++ICzZ6v7bGu1WvnVL28DZJJTUrn5iX+wbMnrOE8fZPZ1R1EoVLhcLkyWGAaPn0BQEKie1HNvJ6dmsOPuO6hKK6ToruG0H6tAsrtw1LWg1GtQ6XUoNCpEUUSXoEeXEBZWM+caOLzrKLGORI5Xn0Atq/F3uNHnJ7KyfjneTV5kl8Q7248xMX40igtVO9ZOK+dT2mhKHIHnbAMPngkieEMYUrqbEIIU9GNrLsfr8ZOhTqF2c1VknagQ0ZiNGFNT0adlXDZkGJdsYNqtAwCoqPgLKud8jMYeHReNXoVGf8GYsrURULZHPSxRonyLieawfFvw2nE+mI/xgVdgyA29VnW+/wHB9nYETViWXVQpURcWYpoy5VIzcfKNVym65TZUl7gO+z9dyoRFPdUS5W+/Rf+77umjS1H85muM/N4PLnu4v3vxLZQTZ1DjDVBk1tPqDdBY7+D1BUMo3fEPYnOn4rI14gv62NFqZ7ScjuJCx1xRoeBwUjoPjRn89a4N0OXpwu5oRyG7UKtt2O16Opo6SM5Kw+FKQvPOIfZaBM7YW7G3NDOxcQeaGBM6g4GCK2aTf+0iKt57EH3BMNzWMgqu/VuffWz96AXiCrPp7GzGEp8GcggQsFiycKty+Gjjz5gzYjDP/+5jVqwojmyn0WgIBAJ9PCmXQ61W4/d/uZKsWqPF7+vxMJni4uiy2UhKTESpVNLR0cG4cePwewOcKDmOzhRDyB9g+JjpHD+8g9yi/lgdnfS75noseiWDk+NZvXolJ7ccYvrUqWzevBkAp9PJI488woaNm/l83T5UJ0tQSAp06RYUeg2SN0DIG0AOBJEBd20HA+8P57Q0natDpVGRkBPWYlk4/tKhw82Np+gIBCnS9KO00YEgy0hSiMNNy3jhml8giAIblx5k9IwBxCfH0Fy6i4azRymccTMKlQatMQ7houcz5Pfht9lx1tfjbmsn4PGROrwQQ07BZa9nKORDFNWXT0Q/8Bq1ny8n65nNX5ozFSVKlH8/0RyW/zbsYa0OYno8EY7Nm/GePo3k6CL+vvtQJX+9Cob+1yygfvdO+s2bjyzLHFq1HPlC/kRrVWWvsbqMTBxl54gt7C2nr9XqLtsN2WpvB7mdzXWlxClkWjtBq1NTOHQIPkniY+9ofmawkJE5BBFQrNuEWyUy6Zo5kTlsO/d9rXPpxqQzYdL1aGTEW6D/BQ256rPt1BWKTDR00b+kjNzb56PUXUfQnIQlzYDOFC6zTpv7U1qLl6PUxlK/82WQIeixo9THgiyTllVL0ciHIvsIOGrwVKxAbi/H5PdgbpdpCt2K0XiStLRG8vL68fTTd/GHP3zK1q09uTw/+8kDvPvOu3Q4wrk1Jr2eQf37c6C0FOCyxopOp8NzQdfFoNcxaeIEjEYja9euxeVwgCzT2toaGb9//35EUYHP5+U3T/2OXz/2CIvf+BsjBhfhtNpITYnnjlnZ/OF/3mf5/p4Q1JYtW1AqlREl3oSEZF74+zsMKUqGomQkSeL81gMct+5DGafFGuxk7uhFVB47h0/lgB3HQJaxddoYMzccwvyy7z3jE/rxxCu70RjtTM2NIXPGMM5+uI3Ec7Gcd+2kzekh6Guj44Sd+CuvpKr0MImpmRjj0y45n0KtQZeUhOzroquxFW2MEW3Kl5cjKxSaL12Psxl0cVFjJUqUbzFRg+XbQrfBEtvzh1eVno4cCBIzt2+VxpdhSE3j4Hv/JH78eNQaHQqFktHX3gjAgc8+7jU2efJkald8FjFYZFnGX1WNKSDx8eInMeXm8cWmdlqdgZ/d/0Oe0PZYwq+UHaDJW8ObxQH2NMJEu475iUoEKYQLmclXzwbC+Rxthw4jSV+/euarSM0y0Fijpm53MQoBzu48TlBWMnRWER4pjvozpzizZSP5E6fi7jTyUaHEtYlpxGpjUKtMyCojWrUJ/anf4Sh+gUjfZ1GJaegPES687BSHfkxVuwtRVKJQqNi1az8zZuzvczxvvPUWWp0es9mMw+Ggy+2OGCvdWCwWOjs7ey0LBAKRxoVWq5Xt28MaMQqFgsKiIqpranF3OSLjJUlCkmQsFgu1lWXk5eWxqcKNKIp4fU4SYwZy27Q72Ja3lxhRS+ZNs1nx0BPozHEMHzKI6ooydu7cyVO/eY6HHryDyZMOk52dzfnTJdiUXm6af3/keJ78+EHShGyun3MLyel9myJ+WQm9Sa3nisxjXDn3AY69uAm/w01HtZWmujjmPD2d7iDN8eXLOfzJ30hMzUKj0xFqO4W7oxi/vxOQ0RizUYsFdLZ68bS3oYmz0G/enH+5fP9i/NYOVAbDVw+MEiXKf4yowfJtwV4HgqJXp1jNgAE4d+687CYNe0+RPmlQn+WCIJCQmEL54QN4uxwMv3JeZJ1Kq6Xs0D6UKnXPt0lHF87duwGQQyFUSUlk3Hknppr1zOs372u9EH6UP55/nNnINYWJLFl9hPWfV7DFHMctRT4ssX5aX7gTR+x05FAIOS8fMSb2a16YL6ey9DTV5ZXEpSRjMseRddNNxOT0w9PWjqe1mZYjh4jtn8eYO+4hdUK40urcpxvJTJxASPLSaq9F9NqQpVYCATfZFzwssixTVb2do4dfRimqEIBKUwuh9nDfmpEjR1JTU0Nn5y40mlFYLJaIhorL7cEfCH5pSfMXjRWAUChEUVERp0+fJiM3j/T8AmJiY3Ha7fzq1Tf4wcxpBINBpl4zny2ffIwkSchyeK5lSz/hL398gYOf/B2n08mAjDS6OmuprNxHV1cLOrELZfFxkCWIT6V62PU07XmI9UEti1e8T25CPPc+9GNuuXUO6cmZpObmcLbpLCatCZPWxJM3/Y0V+1aQlJbe92SALv8l1JcvYtoV97B+w0ssfORRAnYnyQWpDHF1Ur/7NZAkQKbBZWdwtgtDXLjBpMMdQJ81A6MuHWvlEdpa9qBy+elszUMbk0fIoaRiU00fr4gggCUnhrj82AvXVcLtD2HUKpFCEgpl3x5bro4uDJaoLH+UKN9mogbLtwTZVgcGS7hP0AUuFY4JSDKL69sYYNDi37od14lSYoYNwFnVgKBTYRmcScDlQvK4GXlVXx2W3JFjkSQJy0Uvnpf27GfFU0/1CmsATDXls23HE2iNKQjA+NE/wuHppNNWid/dwYC83p6fwbHZHLWfYniKwPQ0LTpNiHFjFqJUq9lbWUkoJRmVUkVsfgEJnq/Rje5r0FBTxxXXhhs4SmNHcfzlFxn+45+iS0xAl5iAZVDvPJlj507T1nECq8NCTcsxspKH4g/6CQR9pOsykCWJ4lMfcqJmG0MzpjJj/MORbVfV+zhd30gisGbNGkwmE7IcxO32RYw6nS780vNcJNnfjSAIWCwWOjo6+qz79a9/zeLFizl9+jQA9RXl1FeUI1zooXNNTs/92vJJ2Eum1mjwXdB+sdo7+d6P7mLo0KEs+cUv2NrYyLvvv8+AAeF7pFQqGeEVmT59Olqdnq6aA3Ra0li75QDnqqtAgME5+dw07y7OtpxFgQJvwEubsw2Xz4Xb78Yn+di4cSMWiwWLxcK7777L5s2befftd8hqt3B03266vXHhBpVcUPoJLxtg74d95V5QCChj9DjtDaTNuwdRFfZgZVwix9tjbab+9DJi00fQb8LPwuMu/ShE8Nm81B1uiRgsR2tt7Kyzcks/Ne0bK7BrKhh//c1oDcbINi6bl9TM1MvMGCVKlG8DUYPlW0KooRJFQk9Jpbujg7ojR3BVVtKtcrG2ci1X5lyJRaXg3LlzqEJdxKYPovH4WawOG7mDslG3NKPW68lfeP0l9+PpchCT3Lt0s729nYqKisjnl156iRUrVrB1yxZmJgyHITdw7uxKDhx5lRiVkdiYTNw+Jx9seB2dOTPyQrLo4mjU2Jg4fjgtZw5iCQQjiagKcwKTrprHrvVraO1ykWPpXXb9Teh+SavUEdF/AKSKw/RXVNHw5wXoZ9xP/NiwwSZJEvaOKo4f/hNKhZGpoyeDo4n+piyStRaUSi1KtYa9FTvp2rWC/bIbMeE6DvsVHDq4puc6BbSIntPIMsyYMYNXX30Vp6uC5qZS5s9/jGAwFDFUFArFBQ9IT26HLMuXNFYAfv/73/f6vGDBAlpaWi54cTqZOnUqe/bswev1IggCsizj83oRRZHDhw8zbNgwYmJimDN2LLf88IfcFhfHqw89hH7UKO6++27ef/99Tp8+jc/nIxgMkpyczPL3llDWFWD5K4/hdXvY689h/WkbC4ePQqvq64UAKC8vJzc3F0EQEEWRpqYm+qVkkWPJQJWk/9L75h/moPPEIRBE9EMGEuNKpP3EQQSFgsQRk3qNlSSJltKNKJQa0kfeeEnj/XI0H2sjfUJqZJ6DzQ5OOdzsa9NAUQ6yLo9lpzuZkCWTnxzOiwq57ChiowZLlCjfZqIGy7cEf0UZFAzD2dKCqFJTf+wYsRkZhKbPwNncjDElhWxzNrIssyDGSWdWI80JnWhbz2HQwPRfXr6iB8DR5ebIsVKO7S5h9I0LkJtaabJ7STFruf1HP+epp56KjI0YMIIA6nBcv3DAtb3mS5Nl1OWbKJjYk0j72b51GAw6phbE8swONYvHKGH/evyAzxHk9PZiVCED+w9v5uiwbDTtKmzeVsZlzEUhKlGeOYOivRVZdaEXkSCgqK/DbTLSUleBZuBQKlsVDFz2ISljc5EUCiyjRkX2H2ysYueA0ZgSr6f+iIuJhrV0Nh9Gq41H6uhCDhQQm5GD5PUSDAUIhAJUtVUjhYI4bC5wpoBJZioWgtZ2YtILUWr0tJ07QNDRRLqhCI33U/4ZyMBgCJc0Qx4Mm0N68l+pbWjm0Qd+zjNP/4477r+b/Qf3U1NXi06nY/78+TQ2NnL48GH0ej1Wq/XCKQosX74cpVLJvffeS3t7OwgC1mAIZVw8WUYTzVu3sGXLlsh5KlUqMvLymHfvfbz084eYM2cOhw4dQhRF3FYr6pwcgg4HgboqbFUVBBobmTpyFG98+AGPPvooK1asoKWlhfnzrsZgMJCamsrd936PrEQ7j39WwnMbznHbuCzuGJ9NkrmvAGC3N+mpp57iqaeewnO2E01W76aBfq+Psk0n0Jl6jJhQwEWw3k7eHVfTfmAvSr0pLIDn7e2Ncrc20l6zg+SiOWiM8V/6XF+Ks10eztdb0SgUtDp9NDm8vD1vcK/QZoPVzYbzbTQ6fEzLVEPQA+ZLJ/lGiRLl20G0rPnbgCxz6JGZxOSOQ1l0JaFgCCkUpN/EicihEDWHDlE4p8cw8HgacDiO0/nyZzhCiYjxFkb+6KcotFoOHi2ls6OTQCCIyWxixpQxAJwoPc/2zSVcOWcyAwYk4ulyozPpEUWR7edamVF46QqkktKPEJVaBmXPgLUPg6sdMsaCqMBuE/DqcxG0BlRJWWxrreD6qQv43fHl5HhGY2tz89OFPTk2R9fupbmhic6YLu64Odzpd3f9bgbGD+Sjtz5i+ZIlbNm8GWVcHKFAAFdLK9ZXX8Ha2Eigfw7OujqMgweRMmQYidk5hJxOVq5Yg0f0c046yUOWGZyIaWTunc9Sb2vi2RMr+bUyl0CzA1WCgYQxE1FqTX2+rcuyzIdbbmB6/s9IzwlXvbiddtxOO36vB0tSOmqNjvKmDj547wkOHbajkbysXLkSWZZprdzE+Cnfp7qpDqVSiUatweV2odFo8Pl8l7yuMTExdHV1IUkSSqUSlUoV8c6oFQKFuVlkpSSQEW9ga0kjEydOZPv27TQ1NVFQUEBaWhqpqans3r2blpYWdDpdr7yYOJ2WYRYD/zNzAq+XdVDZYuU7r62kKC0GWZaxOX18b9ZgHnroIX79619TX19PU1MTmQNH8c6+apYdqSMQkrhmaBrfndSPIRlh/Zry8nKyNMlI7kBkX+1nOgkZVOGqK5sXZayWgMdLq2Bl/DVje11vn8/DoUNLmTTpTkIhN4KsQKnuMWo6K44SCFhJHtCjxvtNKG2wY7N7KMiIxROQ8AVCJJjUWAx9q4Ts7gB/3lfJfTlB5Ld+TPb9v4ecSZeYNUqUKP+XRMua/5twdyApMqjVDaRfYn8KBmf3Wm1vaaH+yBHqS0rQGI24bTZMlgS8ukkcaaumzqXlg6f+gqBQMW3aZGZPGYvN5uDzlesjBsuwwQVUbComIyOG4s+3Y69tIGlgPplDC1GWnaGr7iS64cMBCNnteI4dQ5mUhMVnpHz/X5FnNSL0nwEtpTDidrDkoPE24mjdStvRz7GfqWagLpvitiquCMlISdksKfMSCkooLvSAGXH1BJBhx5GNkXMrii/in6X/xNXuorq9HdeuXcQsXEjxX/9K8tixqK+7jqEjRyKKImfefpvUK64gNjt8fZpbWslfsICxIwZzrPQMp+1d1HnqqGtrZ/kfn2BU/3SC2cmYhvUnNmcorUd2sDb0LvmJfTsKp+ryMV5UoaU3xqA39haZ65+agCAK4U7Cko/KysO43OfxHE2gs8sGwF+f+RNDMgbw5N+f4WjpcQAMBgMjRoygoqKCpqYmEhMTaWtri8wbDAZRq9URfRZ/SKbkfA0l52sQBIGRI0dSW1tLXV0dAGfPno3kunQjyzJD8/LYeCF5urm5mV8//CB3rt/PtHETiPMHmNTfQuBC+G5qfgKiKOLxeNDpdOTn56PRaEgyKnhqwSB+NruAT47UsWRfNSuONTAmJ47vTupHQbmDYL4J7cDEiCFiP72HFu8mJlzxe3SGnmsW32Fn3fIdXHPTFZFlHR3lhEIhZFlCpertlelorMXnbCVt2DeriuumtsNFW7uLGcO+nqckRq/it1fks2zbXiZA1MMSJcq3nKjB8m3AWk2aqEI2F+CtdVHWcBxThoWA20fA5UetSaejsosYYybJBRosw25EliQ2v/wk00YOwjBkFpWNbSTGmshKsWDQadGqVCSlpnDg8EnGjwmr3spZMZjNWnJGDaa0pQ2PzcH53UeIizFhnDEF95EjKIxGFDExmOfORdTrMQLn6/ZTYU4gsWQXdmUq9tWLecs+jB/n2vB5a1BZRhCfNIz6tnVMmP4cghSk/vhH3DTwKna+8SFDp08kYWD/SIlsN96Aly3Ht/CdId8hfUw6Tz31FPbVq3Hu3o3WXYcrdSBKZZBgySlESUejtQZDoBNdjQZRp+FMVQPZ6eGqqhGDw2XZTt9IXnpzDfPHjCR1+Hi8rS04T1fhOHIeTbqFQelXkpc0mQRjTq9b0K7awfktv0QVn8/wGU9f8jYpFSIxOg1d3iB7tm0gN3cDACaTCX8grK3y4OPhJF2lUknwgjS/y+Xi4MGD6PV6Fi9eTHx8PNdf35NjpNFocLvdaDQaVBoVAV+A+OR4Olo6kGWZo0ePAuGGiHl5ebz11lvYbDbeeOMNNm7ciNfrZdq0aSg6Okg0GFCYTKSkpPDw3d9j1l13ElAqERMTyDSEq5asViu/ePhJnE4n8+f3JGYnm9U4lv2IzpzpAMwFrhoH5W1OjtYcZ9PSdZzTCIzxdZDimkHuuHCpvOOsk5zMq2letR+FTk1QpSCYFE9DXTtNQT/bDlcwpjAFtUZBbW0p06d/r8+1PW+t4Ki1njhhGPuP1jG1n4VEyzcrMz5e08mCkV+ux/JFnL4QhoAt/MEUzWGJEuXbTDQk9G2g9FO8H7+E9lcrQBcLQHtlM7o4A1qTPlKGKXs9lL/zMgwIexgsGXl01J6nYMbNLN9+mBtmjGFFRSvVTi+C5CQ7sIH2Gpnm+kpSYuNQxmRyz/X3A7D3/ZVMuv3aLz2s0+9tQ6FWUNVYwW7lXh6efhem7CEc+/B5Bt/zJAZN2N79fN12QqEQQWkdhf39aDVZ+NvtDJzwDKeWb0St10WST31OFyXtJdx43/dYuXcz+akDkFwS0ElOjhoIJ5R6apsRvCYkKYRCEYNHG09D+1mCXh8DNf0xiCq6AkFK0nrXjPiq7AiuEmZdOwHRr0UOhbCePoH3ZCfaoRYUOi31p/Yi2FUEsnqeE1djC55YNwNj8/tcB6/bg1avQxDh0ME9nEudzF3TJ2MwZqBQiijVIj984D66XA5WrlwJwN13380777wTmePLwkPddCfTft31JpMJl8vFddddR0D20FZykj/97mHMujgSsPDUJ5+wdNUqurp6lxwrFAoGDBjA008/zaJFi3rvpGwzbnUCCks2Kp0JUdnTB6i0wU7lrh/yTvko8gxKNLkzuXtiDnG7jhG3aAqhQBC/w8W23/+ZMQ8+gNfl5nzJSSQphsTMNCprOrF2NBOfJDFpwRQStQk07P8VxT4Tmv4zmZMT9nwdLWtHoRIZnhNuPVHe7CAYkkiL1WG+RGgHYG95G0laFfkZsV96jQFe2ltFgi58Xv6QxPj2tWgOriP7qc+/ctsoUaL8+4mGhP6bsNWCWh8xVgAS+vdU8hxdt4/88QMJuAJ4NTGIHid+n5e8KYvwdlkpWfcmZ31G7trq4Od6G9eNuQaUWXx25iDfv/EeujwO3v/8RRKNPV11tTFmap7/OwkTx2EY3zdEAuEwQ+HN0yhkGvvfaiZ24EQUCiXBuEIq9uynsdxNeVeQ624bS3pqIp/sPE5TVw35SYtIt2ioP7qMuOxMXO0BCudNj8xbv7eLzbveIuRW0GQXMWlN1J3ZR+i0koEzbsCYMZjW6p0kTeypc62sPEdu4ii0Kh1nDh8la3ABJlMMMwymcLWQKOJv6MJrlVgV7KBJNpMbF76euqmpMLXnvJLHTKfzg23EzpuCeKEx3+n332HgbXcB4coSv8eHWqfh4IplWFvszH3gJ8iSxLJSI/s7zTyS1p9QUCIUlPC5gzhtPtx+D83N4R5JNpuNrKwsamtrASLelotRqVQMHz6cP/zhD/zxj39kz549EaPm8Zce5/zOCjadPofrdAmyLDNiRAI6nUB1BdScr2PLh69x48O/JE2txqE2srayiRl3P4pKVOFxe0hNTWXatLB2y9tvvw2EQ0W/+c1vOHnyZF9jBSB/Nie2fE6auYmgzxPxiNlcVmJim5k17QeMmT2UQzve50jVVl46H2Kk6CKnrIhJefEE/RIe0UNz7UakUADJ7WfWXQsQRZH9jvOMnq6iov0kpa3HUQXhiFXBdUNuJCe7R1Y/IEloFD1VSqca7AxKMbHpdAs3jMnqc8inmuyoAxL5ebGXfI6/SIJOxS0jewxd/4pKOoymL9kiSpQo3waiBsu3ALmjHsFouez6QZOHs/n9NTTb27jluzeDZMdjb2Pvh39i6IxFpA+/gn0HNzLNqGFo4sDIdkZNAlWOeio7TnLXdT/n802LeWvpxyyYfQ1bD7ZwZb9CpC376XeRweJ3uChffRBBFFBqlBF5/tzEQrYc/ZzZoxfSFStzsnkbAaOBm6+/j207Grh6jpm0xGH4A/kUn1/DoikPsqG1C63PQbMuFe/StRRdOwuVVsPcSbf0Or8z77/LwFk3oUtJxd14AFv5do6fjyPOX8uY0Wmo1Uq8TjedKjtWr52k3GQEBHYf3ELI6mNm6hUIFzwPxhmZaD+fQOunJYTSzKg1arLGFyCqe5fpyqEgXCQg1tkpcXBVWFnW0+VCY9Dhd/vQmeOZ+0D4eAVRJDErA9vBBhQ6JTplTzKpUiWyed0mUlPDYQWVSoXBYCA5OZmWlpZeInIqlYpgMBgpSZ49e3afe/7HB/7YZ1ls7GB+/OMfsGjRzew/dpDlB4/h9HhYePPNvLdiRaTUGsJhn1deeYWlS5cyZcoUUlLCBnBKSgr33jua669fy7lzq0hIiOViJWOvV4msj8eq1qM1a9FoNGi1WgLWctptWvJSJqMXRRbe8ABzAiFWn2ikbPOL/OatgxQkG7l3dDwTryggc0rY+CvV7IjkumRYdIxKyeJc53FaghrGJOTws2uu7HOe4wuTOF7Zwdpj9ejUCtQqBXnpsXR6ArR0ukm29CTp1ne6aGxxMnv4pQXtvogkSbzd0M6Nw9JQKMLH5WhzYbaov9b2UaJE+c8RDQl9Cwi89T0EhQLl3a9/6Ti31cnpPScYPX8Sh5e/QCgkoTPHc660lg6NHkPuIPSpqVibmjAolJQ5iklpPoFS1DJmQDYah5rdx5KICXrINWswxcehz0oj/aoJkX2Uvr2ZnNnDMWYk9tq33dnFHz74C2MGZDMwawS1zV3UddVy6+Tr0Kl1fLKqlIEj/ZRWfM53ZoVzQLZXr8fuaWag4VrOdnSRc+YkeXMmo4+P7TV3yT8XM+S73498dtq62LRmLzOvmc7hY00EghL15SWokiu4ds697CjZAYBU6yVdlYop1oQkg63dyuSbZhK0eqn+9DhigRlLfgod5xtBgpDbT8G8kdhW70U7MBttXs+37LNLdzLglt7KZU3lNZzZW4w6YCDJbERtUlJV38lrpR38/tcLyUvqER7bvfkIKTnhyh+TycRjjz2Gw+EgISEBr9eLwWBg3759KJVKxo8fzwcffEBKSgpNTU0c3LuLm79zBzW1tb1CPt0hoLS0NJqami4bLrJYLGi1WkKhEC0tLb2WW61WsrKyqK6uDl9bp5MHHriVvXvPcu7cuV4VPF6vm2PHVzBi+CJsNhsen49QIIDd6cTrsqHVdpdiy6xyGRiRGT7/I6ebyXTqONLoor29ETFHQf/sDIZnxkIZmBNzAThztBVcARRCiASNji5BIqgUEVUXjiHgQkJEZTCgNqhQqkRk2UtCjILtbon7R/djd0Ub0/olUNbSxZC0GA5Vd17S6/JlrD3VTK3dS6ZZS36CAd27PyFzQAzCgr9/o3miRIny7yEaEvq/wuuAoBcUKhBVoFCHf/5f9DMJWd1oirL7LK8/XY21sR1BFC+8WGRMlvDNHHPDQ0D4G6O6/QOK7riD02vXEqqtQqFSkTZyJIa4aahU4ZDH4aUfI2g1XHfnIOJyc6lYsQKlXt/LWAHwekGf1lf7IsZoYnLeNOZPC1d8DMiW+HDXCjYdD7cOcMesQCn+iHkX1Egbu+ppdZynX9J0ClLiMGlVnFSMQLW3mKIFV/SaW/hCr6Kt6/czaepwYmK1zJoR7nC4W1NFesxQWg9tRNfYTKN6MAXxWQQB64U8XpdHpnxjNZIE4rligmISLY0ne/ZjV9Lw/GF8miZkMYCmoacqRHbFUrOppudzIIQsyeSmjiTkDpIyMRV9kh6NzU3yuT1UtbsiBksoGABJIj+/J//FbDazevXqyOdQKIRao+bpD59mx0c7kGWZpqYmAMZNCserTBoRfWwira1t6PV6vF4voVCol7GSmprKqFGjOHbsGA0NDUBYmr/buJk0aRLLly8P34PGRkaPHk1NTQ1GY/hYXS4XycnxrFmzpm+H7uI1jB27CKVSywtVTQwyaAnJIIoaNPEZSFIaUkhCBub2MzMuIw1Jkjhy8gwak5qJQ0Q6A0Ooa3Jx6mADuw+3MzAhxIi2sxRZ07miI470a/pj7h+DIcXA6v11LJjQkyT7+scfk184iAFZ/fH6Jdy+IKVNK4gNmbnC5+fsrhMEWyrY3jaBkAzl1ZBu1rJyVw2CAOFLFNbWvRwBhxWVOZZkWaClIcDW4i4WtYbIGvf1PDRRokT5zxE1WL4B0s4X8W1dgyAH+q4UxAsGjBKUGlBoQKlEUInhf2oFglqJoFIhqBUQkpBDEoQkJIcbwdK3usFkMdNS1cjg6SPQGC7d52R7QwsfBI08XlHFwHnzLjkGQBYEMsdOxZwciyiK5C9aRNPxErb88CekpCagzQrvX+91s3dxAG2ahS9+oRfdLg6d3snYgdMQRZHbp/fkQNhcI9latpgdjTY6fQ5CwU5qgmYcrVbeSygiNcnIySY7QSmA1+dGrdIiiiLn33sHmd470qhVJGf1VuNVK1Wk5o5EN8yEqeYcdavW0xATrnARBZBk0GTFkTcjB4CK1kwK7urdmkCSgtQt+wP9b3mqz/U5Iz+NOi5ckhsMuLC27CDZcQVqbfg4fLsb8QEaZEYJ5XRuiON8ZRetVU4SCqG9sZ677nqZd999NzKnQhSJMZnJzu2HS+Xi/MHz/HLRL3ufq15DSm4KthYbLqsLi1ZHQkICmzdv5tprr6WpqYm5c+eyYsUKFi5cSFxcHEuXLiUuLo6rrroqkpuyaNEi9u3bx969eyNhKY1GEzF0tm7dSnx8PFarlb///VnmzZvPoUNHyM7uMZRNJhMVlQfJzhpHjkbFwoL+mLW9k1zPW2vZ3XqekalTAGjr8jO9IJFZA5L4x2enGZ5uZnhGLCfqmklWHud4q4kml8gkdR1tCwvJN/po21/HPr0Kv0bBqWorGpWCoABGUzyo4zhZbUOvUTAuP4GUxAUcatjB/Em3AnBi19sMmzqHf5X9ny5lwtQFkc8hr4vK4z8HU9/QVJQoUb5dRA2Wb4DvYDHaXD3C+Psh5IdQAKRgz8+hQNj7EvBA0IPs8yL7/Mj+ALI/hOzxIzm8yEEJFAKCKIIooO6XAPm98xiCvgCtlU2oNWrqTlWTN7boksc0MzOVRFUcyl1naN91DoVJT8gpI6hkBLUC2e1FNGpJsuTQ1W7j1N5jjL9uOgqlAkNqBonX34HocqBLTyF9zOBL7uNiPtr+OmMHTuMfm/6BU63hoL+e2Znhl5dWNxOlUkuqTo1aFEl3+EhLikGnDOcHBGQ4qiyj8YCVwIUyYMFoR61X07zxtcg+SkIxVOzbTsB5llxLOBmzo6OCIaECwERqdiGji46i0JxkyNTrItst2xRuL3Bs77vI8VasZ3YRV9STbSsHA6hieoe6utFkmUntH+5J1FV2FNnRhD2wD6fzHEVzXkaXGPb0hLrcjDjyPHbsZNU3kpwwDG9pDfFGkZJjZxg+ZBSP/ew3LP14CfVV9ZRWl3Ks+Fif/VlSLAwcNZBT+06Rm5jLgYoDBANBamrCXp7hw4ej1WoZOnQoycnh0m2TycSbb77JO++8Q1NTE01NTaSmphIXF3fJCiS/348oisiyzJgxYyIelRf+/ig52Zv42xO/4vkl7xFwdGA7d4pkhYENp1YgVRxkgiKe9zZvxBKXRHJKLnZFCBmBGKWafGMsa+sOAwL1NpidHBYHvDo7nrZaJ7UqD/3SdVx711PcIio4+/7nFDd10LJyJ3t1Oqb1N5DW4ifvysk4lQI2fxCVDHl5w0k0qEnO0WH3Bth0rJGOdg+WvH9Pfom1uZGu9tZeyxSedpRiEMzRkuYoUb7tRA2Wb4AgBJBCWhT9pkYk6790PF/mnO6L1+mhuvg8wWAQhUJBzoh8dGYDFadL2bNxfWScJEtMvarHm2JISyBn+kA8R85i/ewQyngTIU8aCoOKlJ+HjYnuzj0JOckc/GAbpvQ4BFEg6A8y7NpZtJwso/STDQxYcAVKzeVfECpRhT/gIyk2iaKksVhsDgzB8HiTWs3g1Dhy4y1sX3WU84eaqRsk8UlTNQF/CKHFQ36/ZIoKRmBJzLvsPrpNtx1nS5k+YCYAVac6OXdgBbrYPGwVh9CnFWFK7O2VktxHOFN8Bo+7iXFX/5yGnS/1MlgUah3SZUqLNZoUXK5KDIb+mPJHYcofRf3Olym49m+9xilMes5pC/jUOJ2l901AC8QAwZ3vkJCYgM/noWjgAPxyCI1Fz0jLKPYf2MeCBQvwer1s27YNWZZx29wsX7qc3JRcMjIycLvdiKKIwWCIlCF7vV4OHz7M4cOHAdi9ezclJSWRYxFFEY1Gg9VqRaPp8YTo9eGkVLfbHQkVdXR0kJgYNtZkyYMoQEAUaS/ejRyUSRg1EYVKTYEziNVYjkql4vasRdQ2HsBa+wFzhtyNPnFMn+t26tgaUk3w28efYEryFPJHJDNh+jBKPjxD645VyCGJfjPHkdrWSGPL6xzvTGJHs4NEdQD2+hibl0lGcgIanQGN1oBaq0CtUdBae5ghcTIV6hxEeyfH9r7PiEm3f2nZ9xcJBvyEAgHcdhulO7ZgiI1j1vd+3HtQVzgshzkaEooS5dtO1GD5BmiuuQ3fh38m8NfbUX3/TcR4S6/+JP8KXR126k5WIMmg0qjIHVOEStfbYPC4XOQPHkJyegb7t2yitaGp13pTRhydVa0kjB2IYexAnPtPcWDpOtJyh2FfswO/241KGw4pyaEQRtnLkFmje82RPDSf+IIszq7eRlJRHkmDL21QTCy4kheWv0iztpVZOhP3FM3G2u6gs9WBo9VFa42LamcFSqWCgjHJ5BQl068wnNxavqmadGMiNftepjG5b84OwODxDwFwom41ieYBPddAmUhNwIXZ7kebOQHZYMATFCk/W4JKpUKlViPpTlLpG4wlbQwKhRJBECJVTt3UK+PYfmQD5gRTJBAlAJKUxokzexme0ES7z02CRk+j04x21XZUrQ4SLWYEAdobmkiTXVS1uXod98+eXczmbXsBGD6+CLVajcFgQKfTRTo4nz8fNkZjY2Ox2Wy0VoW/7R84cACVSkUgEGDixIkIgoDZbGbHjh20t7czYMAAzpw5Q0xMDFOmTEGWZVQqVaTySKvV4r3QEFKhUHDixAkAGhoamDt3Lm63m+LiYoYNG4bVauUvf3kRp8vN9bfeQdLo3onGKrWKUaPvA+BM7TrOn3uXsWOfxLHnYzpj9odDnnIIfeIALINmI8hQ/u4+rtQWoNUF6SxvJmP6MLyxQ0ie1Q85JNF5eBs+nRFzzne5fc4UWru8fHCghmUHz/P2+Ram5TiZVxRLfrySoN9DIOgmJWMY50tWMmn8UIr3taFPGMLp4jXYO2r4uuz+8B1M8QmotTom3XQ7ouISDR0d4TygqGhclCjffqJVQt8EWYYXhiJhIDj5z0hOP7IEAgE0E8Yj6GO/8ZRH1u5lxJXjWb/sfWITkpBCIRJTUykacVFTv0CAD15/hczMLLR6HRNnX9VrjlAoRPXOM+Re0RPSOfv5dgbMn3HJfX7ZOoDyjXupqzvFtLu/i6jsbdNKksT+FftIH5/D3vMHyA7mkpAYhyXRTFyiGZVaSSAYpKaxgdPnK0AWUF4oKW6313PHNTfj37kKzYwepVc54EdQqak6txqXtTK8H085OTF5SD4rsROext2wAwQlCssoAn4vAb8fv89LIBggEAiEP/t9+ANBNO6tDJr2BLa6cs58+inJCYNBkgl5ffjb2mlvriT+jtsZPHZIr3N7rrKJx/r3vLhePFJDToyWq7It/HPlTiwmPcEuByktOxGauxgzYzpqhQLJH2TBk3/jREU57R0dqNVqvD5vn+v6VcJwX4Ver8ftdpOYmIjT6SQ2NjaSuPvF/Wi1WjweTx91YZPJRFZGPDdeMYa75j1C0OVDoVGCGA5RtjrbGXPD1aw+9QLB6i1cO+t9FNo4gvWVBM7sRzf7NgDqd7xExvQH2PT8b/EL16CnAdnZgXnkVBAEXDY/079TCMCpIysBBQVDZqPS9DRT9AZCfH6ikX/ureZMk4OCZCP3TOrHdSPS0aoUNNeewdpe0X1StDccJiVzLPnD5n6t67X/06VMWHTLlw/a9xJVq1+i37Nn/leJ81GiRPnXiVYJ/V9w/COw1yLeuQp1/ymRxZIngPfAPgTZi2biJASt8Usm6Y0lOYFle09Sb0ok05KERaen7MQR/P4LOR6CgEatQRQErJ2dzJy0sM8cCoXiK1+E6176K1qjEbVOj6Ommf5XjENt0PcaI0kS/i435vRkDA117PxgCUVTppHSv6f6RRRFREEkJz2DnPQbAFi7fxslxwPYrS7SMhMQBYGE+DiumjYFQRBQKZW8tf4VhJCMICrwnTmOZK9FDvqRHa0ICg1CTCIpPhdi5mAkpRaby4JHMuL3O2ksXoPsqiEjbRB6rQ6N9tIJyN10lIRDKLGZeZgnF9J/dO9kZEmSWFPSjNjoYGBazy/HKKOGrbveId4Qy6nqDuJDAjmJJopPW5mUM4ghYycCcGzZaTY2mUksms3g9Bi8ZVaS01agaazniplX8Oqrr/Loo49yruQMp8vPRq7bxYaDRqMhMzMTpVJJeXk5kiQxbtw4XnvtNVpbW7n99ttpb29HkiS2bdvG6NGjeeSRR9i6dSuyLNPW1obX640YQQkJCeFOz4QF/7o9Lmq1Gq/Xy/e+9z0WL15MwO+j4XQpWUNH9KkSkoIhDq3+HfWlZ+hnGUZ/bxBRHU5EVmb0x71xKd1XXmPOpH7HS+R4dGimJBHwxtNZbmPU1Tl95hVEJQNHXtNrmcdTR1PzSkbHC4yY56XZN4p3jhr41YoS/rThLN8Zl8Ud4/tRlNWTu3W0s7aXsfJFNWGLxcKYMWP405/+xNChQ7/sEek5Z1sDoiEuaqxEifJfQNRg+bq4O8PdigfMh/7Te60SdSp0M6Yhefx49+1FEAJoJk5B0Hz5ixWg/+hCpEY7MW1JzB2WTllLCxtTs5iYlYMgisjI+L0+Zi24lrJTJXz41hvo9XoGOpxYMocjZOYgAN56B45ttZF5Fa0yldsOkDM93C1XHxPLqLkLMcUn4G7t5Ozn29GaegwrWZbDxoVOi84Sw6AFV4FGwZG1yyg/vpbkvCwCXisyIGtsVJxUkjt0LAA5SZnsPlGKz+ikPRTCrDNRa++i4kAFp1rPMDx1KH5RgUYVwmbrRLJMwHj1LASVIpx4fIFQRxNyl5XmdTuInzsHY04uEPbEuJsb8DZUXfY6OmtKUMelojYn0NJ0mmbPWwB0dpzC65qD9qIqK1EUmZafyHvH6slN1KNRhX8NZiXGcbRKy/BRCxl+wcHVcfhzvB2NmBPHRra3atxIhqN8//Z1HNixJ7JcEAQ8bhe2pmaOFx+jqqY6sk6lUqHT6bDZbKSlpREMBtmyZQt1dXVMmRI2fvfv38+wYcPC90+hCJdCq9XMnj27l1KuKIoIgkBsbCwqlYqsrCycTmfEYOm+n4sXL+Yvf/kL586di6zz2O20n6vGV9+Fw95OUNszrwBkquOYMORBAPy6dOx7f4UqZTT6vEWI+p68rcSRYcO5s2kdlqnhkF9Too7aDTWEvI14dfV4DE70xrDIX2vrRpyu8wiIgASI9Mv5MYIg0tGxm3hRyeJBo6npcLFkXzXv7Kvh9Z2VzBuayncn9SNZPktCat+k8IsrpbpVfK+55pqIwvBX4WyrxxDbt4w/SpQo3z6iBsvXxdEIQQ/EZkLrGUjqW7Uj6tTorpiB5Pbi3b0XQQmaSVMQVF9e5ZCXFoNZp2LZoRquG5nJd8Ya+KD4BN8dNxrDRcmU5phYPC4XRpMJS0Mj8XoTcTMuXdljJgtbdSPn1uwAWSYrdRA7Xn6DgpFhL4HGZAzncMgyTa3NKJN1YT0Ujx0aWqDhPGqdDkO6GaU2RFrOZHTGhMi357CbP0zdVh8TB4whd3gi609vZn/tQZ67+Um8AR81Z3MwBuyUtfq5duRcis8dZPLkUXQ89yS6ghQQBASNFkFnQNDoEPVG3J0hMtN6xMAkSUKbmILj2M5LnqutZDvepvNIHhsxI+ZjkYeTMvZeALxON6U7jzB67pRe28ToVdw9OoNH1n9KfmFmJBdJ1VDH4O2fIQjh83TW1uEuGkRb3VFULacJBQJ4YlJYHbwRWb2caTMn8atnf8DiP37KpytW0dHRydhpU5DlsAEzavIoivcVM2nOJPZsDhs3giDQ2tpKTk5Or2O64447EEWRd955J5KfotfrUavVpKSkMGDAALZu3YparaapqQmrNSzk1tHRQVFR3+fx4YcfprAwHJbpDh2ZE5MYPHwG2kIL5z7dQeGi6b22KT34ZuRntaUI1eTf4209Rt3aPxE4aaU1tBbZHyBu9CAsQ3v3XUodkQQjoOnEKTIGXE1L8yoCoTIEBNTqKfRPunQ5slqTRFvremy2YgDuHAw3DwhR2tBBca2T19f6yanoJHfqPEJsR6s1otaaCfjcqJQKkpOSEESRlJQUHn/8caZMmXJRbtmtX+p5cba3Ep9x6XyqKFGifLuIGixfl4SC8L8Dr8CRt+E3zZcdKuq16GbNRHK68O7YiaBWoJk0FUF5+cudFKdn/vB0lhfXMndgKvdPHMdfduzl8SvCL9o9ZRW0Ol1cf90NuP1+li5bz8yWLmL8gUg/nC8Sm5NGbE5YHM1jtdN4VgWChbhsE0mDEyLjLFXNBH1+Ugf0VQxtbj6Fz2fHYE7qs66lykHprnqyB1komhTez8whU6hur+XTveuo6qhmdOYw0hMyuXLkVP7+yR8ZnjUCdUYSxkkz0M2cjSxJyF4XssuB7HEhu7uIG5JC1fZTWAr7YUozcGj1AVQaJfqQCja+iuS2Yhg4A+fpHYhKDarEfqRcGW7q2LzpNezlR0m58G7UGvUEPJeuDDJqVGTr4xgRl0KMSkuMSotbl8BZp4NhRWEXS9O776B12Rk+/V5sbZWodTHUbvobuSmJHPMGMenBrmmgM9RISkoKHo8bm80OhL0cR3YfAWDb6m2R/XYLvgHEx8dHDJD33nuv1/HFxMTw+uuv8/Of/5yysjKKi4uJiYkhPT2dUChEa2s4aTcUClFaWtpzPy0WPvroIzIzM/nHP/7BkSNHyMoK31vJHyLkDiJJEsqS85TZysJeLkFADvnQ5n4hnCMo0CWPpl3TwvDfzkJUafDZujj37BvoM3rUif0uO/bzJUjBIF1SKb7mBpKTrkGn++rqG5OxEJOxsM/yAflwnSSz5VQj73Gaj/Y3k1lay/xBMUzJseFxd3D48IleybRqlRJRFBlYkME/X3+FzIJRX+p58Ts60CRM+spjjBIlyn+eaNLtN2XP32HL/8BPj4Gl/9faRHLY8R04gKDToZk4GUEhXn6sJPHS7goemJJLs93OmtNn0atUjMvOxKBWs+b0WWI0Wqb0z6Wy2c3EDC1yVxeSy4XsdhKsaUI06xFjY1CP6F0JdH5DNQVX5dBxzkp7hQ1kSCqKIybHzIlNh9BcVM7s8/kZcdV4Tp78iKKB16NS9hYQqz57mNjEFI6tdzHj9p5qnhX71tNsb+WHV4d7yXR0tnHw1G50GgMKUcHU0bMAOPP+LvRJ4TydUAA0TpH4pPCjGOhw4C8Yi8clUV58Fm2GkfELexR5ZUni9PKXcNX5yLliIfFD+qO4yBg8t28X9oYW8oaOR6FRUn70NLHZucSmJqBQiShVIkqVAqVa5JVjVYzpr8QW8OIM+OkK+vE1qhiqjMPtDtDasoW4gjxUeiPmeAN6hQaVAK9s/5AVfznI8GQln69azazrxnPuSAP19fV97qkgCMTFxeH2uPF6eifjKpVKQqEQOp0Ot9vNzJkzcbvdnDhxArfb3Wvs9OnTOXToEFlZWbhcLjo7OzEYDKSlpZGVldVLWRdAp9NhMplobW1l+/btTJ8+HV+NA6nLT9e2DZjmTEFXGPYuBB0OTr37IcWpZhKyw7ovISmERqlh1uAxnNh1mNGzeiqK7GW1NK3bg0ahRpGnRvBIpM2dg+JrhEH/VU412nl7bzWrjzeiEAXUe1+lZMfniKKIWq3G4/GQkJCA0+mM5PBA2IDLy8vj0KFDtLa2Rsq7kUJUP55Pzo2/gjHf+z877ihRonw5X/f9HTVYvvGOmuD5ATDtcZjxy68efxGSrQPfwcMIRhOa8RMua7h0dvnYdKaJ64ZnoFFf3iuz9rMVzEyIQ4yLRTQaEQxGRKMZQa8nWH6OkM2OZnRP7kXl1lqyJqah1IXnlGWZlpPt2BucCAKkjUjCmBLOU6g5Xk5z59tojWlkxI9Ca07GcEE8DSAUDHL0oxfJm30f5w+1olQKOG1+xszLYf3e9WgMAdweN7GmOLbVbMWsMPPLG59GFEVCIYmqrbXkXZkTPt9znTitTtLHpKO46Nuyra6Zlt2n0GCAuN7XKuT2kTSuEG9nF/bzjbjjDqAwWfBYW9A6h+NqtZFSUIDOYiboDaAIGjEMTiYYkAgFJIIBiaA/xOnmLqSiGJSiQLXHR6svyN6jx5kWr0KvU4AEgVCQXY0eZgzTMCe1EE/Iz18OHWDNr97DXrINlUZN0O9HCkmotRriYmJ79fT5Imq1Gr/fT2tra6QPkCAIqNVqFi1ahN1up7S0lIqKcIVMRkYG9fX1l60yUiqVjBgxAoPBwI4dO3rtZ9iwYTz22GO9OjN7TndgX72MuDsXokkLe8ba33iDYimGybddg94UfgY+2rOWBaNnsveTTSTnGNGbjOQP73mefA4fzbvrOW8/xLRF16L+PzRWLqaty8cHB2t45tEHsJ4/QnJ2Hn954R/kxQi8+uqrvPPOO8iyTElJCQkJCVRWVnLrrbfS2NiIz+frSQruaqb66XHkfP81KLz6/8uxR4kSpS/RKqH/K7ThqgmMfUMkX4UYG49uzlVIHc14N29CmZmKatCwPuMsJg3jsiy8daCaH03tq4ciSRIHytoR4nRop06/5L6UeYUEd+/Et38fmgkTkUISsVlGyrfXkVqoxlbRhLWyDV2cAWeLg8IbxmOtstNwtBWnN0D8kHhGFP6K1lMb6KjfS3K/3vkHCqWSGE0XR//0R/RzFiGLCmRdkK0rDpGWlEJM7UFO6ccSEhJ55MpxWOJ68l9c7d5extppeyVKv5v2Q3XYy230T+7JywkkWwjWuNBqYwEIeQPE9EskeUA40dOUkYQxU4+7Q0V83niajq4hYdRURI0aQSkiKEUQwXveii6up6S2m/SCsKSeJMuUuVWUdnn4ztyx7G8r45Z+4S7WdeePMlOuZnunnYKB4etg0ZcQCEnkjRnKuvc/4dFHH6WusYnGpiaa6+siQm4+n4/Y2Fi8Xi9+vz+cj6PV4vf7Izks3Qm13Rosa9as6VVRVF9fjyiK5OTkUFlZycaNG/noo48iEv1jx45l5cqVkWeje38PPPAAf/3rX3udb6/Kml/+iDiDgeHZ2Tx1y61IA/Mjxord7UQpCoT8diZdPxmFQs354kO95tKYNWTPyyXeHkv5iSOEggFCwSCxiSnkFH29Kp2vwusoo/7MfsrUA9GqlWhVIlqVyKBEK0PTYM9pN02nD3PbleF7pTMYIkbd+AtdyF0uF/Hx8QSDwV4CehENFnNan/1GiRLl20fUYPmmHPln+P8vVAp9E8T4FHRXXYW/9CSe7dvQTp8RSRJ0egIsK65DqxT5weTeIadWq5uD1Z0IwNgcCzGNbi5kd0bGBD0ujr32ewLqsIGQlTKK4KYaZEEmKMHJ/bU076wmeUgGQ++bgyiKHNpxjPVrzqPNTgYllLs9XCfAsb0teHVuguZ+hASZmC+cx2GPi6n3zqDNe4TU1NGkpY2MrLOeU1LnMNLc3sW+QxKdvqPM6R8KJ7PK0OkJkUs4ryLWYubQ4TqunXsFB/wnyJ4WDlN4PT6aD9oYfccEFCoF9sZOmo/XkJDXW+TL0XiK+LxwHoIiWQeySKjLjxyUkANSn2t0yXsiCBQadNR4/GQbYziy+O8czDkePg5rOwNmLmL8miUc168CID3YAAigVlNiisel0XHk4IHIfBdL5dtsNpRKZcQIcTqdjBgxgj/84Q+8//77fPDBB6jVanbu3MmePXsiCbeRY7tQEl1ZGdaomTNnTkSO326343A4OHnyJDabjddeey2ilDt/fu9eSt1cddVVvHT//RjGj4/kd9y++A1e+fN4goEgSpUSg0bLuQaJYQnFyHIISQrgC8Xwzh9fITMjDaMphuL2/SQVDe89uRJKDi5nhmIP3TrPmxqOohAEZl54PmQpRMZZLzq1Ho9aQ8gSj0KpR6XWoVBqcbvqMFZuR2U0oM8YhjmxkNSGavqNmITHH8QbCFGQ2o+shDRUCgUBQKvTEQjJeFw9gn6bdx8k0aShoaGB++67D5vNhtPpvMhgaQz/b84gSpQo336iBss3pekExOdDfO7/eir14KFI7S14Pl+LbvZMBJ0Oo05FYYIRi17Nx0dquX54BocrO7B6AsQb1MwbloYoinisTTS7q1F++hQk5qK2ZGDOGUbL3g9Jnzie/eeUjJ44DFuLgMvmQxAF9CY1Vz00FnP8NDpPVXP67+tISzMS4/CSUzCAMdNzCPhDvLL5HDn58eTkxwNho6msoZStx1cAMqmWfgzMGkFM4Ugq5BhmjLqa8vJtnDz5PoMH34IoKtHnFDGotYSujhJc+jTychJJG9gTTugQ97PvxGZGDpjK4LwCKqrrOXnuHH5/T2NJa4eDpsZm6msS0AZlXM12CueO6HMd7dajJGvCuTGiVkSVoO8z5psSk3MFBjeolAIYwHaglVR9BpkXynkfnzcOV+khyoDrUyxYLBbmzJnDqVOnIh6Ri70kF5clS5LEsWPHuOGGGxg4cCDTp0+PhHJCoRCCIKBQKHpt083GjRsZOnRopBOz2+1m+/btkXJoURTJzc3lueeeY/r06Zc8N41GQ3J8PMaUFFJSUnj4pz9l5pw5rDxdR7PpKDqtBn8wRJo5lYKCHgHDLpsVv8PJpHnh5oG1u6q5fmJYF6XcVs6zB59lbMpYskb3Y2renQSDPkrLPme2bjBpOVPJTwkbLPX1Z/AkVZM6fg5lb71O+tgJBPwuggEXwYCHpNgJiIlDCTScoqu2kZBvFzp9Iq3VDeQP7p2XJcsy8fHxPPr8Pwl6XHy+7H0ObFsHwKSxI1EqFAR8HlJTU1GpVLz11ls888wz4Y0djSCqQW/5Oo9ElChR/sNEDZZviikF3O0gSSBePnn26yImJKO76ko8WzajGTEMRWoGkwrD4aYMo8SmU82M7xdPYqyOUDBA65mthHwuNMZEvFo/Gp+LnGl3Ur91Mf64FESNgbjBV5JoO0F2XjoHtu0kSe8EwLZ8N+o/Pg7osAzKofG0j84YLYpYGanVw6GtVSiUIsOcMl5fAK2mp/ooP30w+enhUE1Zw1m2HvsUp7sCuy8cZsnLuwKns5PjJ95DodCgUumItxRx/ex7UCj6PmaDBo/nzTVPUNtoxaxPoX9OOtnpFvbtfJ3TxZ6e/RYE2bV5BwWxA5Dzk2k9Ek5q9VmbSFQqkAGXHOT8+Q3Exxfg97v67Kubl156iRUrVrB169ZLri8uK+d4WyeJ1nhSclM4V+9l5Og84k0azDoVdcv2UFVVil6lI0HUoTLHk9kvjxXvvkFrayvPPPNMpAJIluVIPk63xyQ/P5+ysrLI/lwuFxUVFYwZM4b58+ezfv16CgoKIh6SgoIC9u3bR2ZmJufPnwfg1ltvZdmyZXz22WeReXolkn5NAg0N+Gtr8VssvPXiP8jNyeGNJ++KhO28/gCrD5zttc32ZR8y794f9FzPZ9/ixmnfjXzWmrQcLTrEPbcNZY/XjSgoGNRvFsacJI689RMOKAVEj5H2NhsTHn4WQRRRqDQYzMmROS4lBje8IIfHpieQtfBB6stLScgu4v7v3cu774bHeTweHrtrIQqFgvz8fHQ6HR6Ph6nzbsSVfyX2hmoCpzbhbdrLmZISqo8fDU9+6jSWBFNUNC5KlP8S/lcGyx//+Ed++ctf8uCDD/LCCy8A4YZtP//5z1m6dCk+n485c+bwyiuvRDrOXgpZlnnyySdZvHgxNpuNSZMm8eqrr5Kfn3/Zbf5jFFwF+16EugOQPfHfMqWgVqOfOw/vrh0EWhuwiZ2EAj6QJQZ521A7J9NQWYagUJCQNwW1IRaAhIJJvLxsIv33PUeiVk/NyXfI6vc9Vi3dxLW3hnMtkvRO+t8+j6DXh8Kg58zjTxDIHkBw/BQGTM/mcKkVvz9EICQxfkA8nVYP9Z0ujpxsYfKYS7vK89MHkJ8+gFAoxBsfLqH04OuodTHkDlzIyBH3fL1zFgS+P/8ZNpX+kQm5MzDpEtl15s9MmfEABk1sr7EVgeWMmzCq17LlxR1MG9md/zOSrq5mOjrKaGuTSbtESsKSiiOUVuyLJLJ+Eae1k41Hj3Ll+HE4V68idfZVuCuOcT7ZiNsnIKCkNWYEnrPnWZCdSZNfi0qhpPLEwV5ib935E7Is9wntlJWVMX78eGpra2lubua2227jzjvv5JlnnmHr1q0Eg0EyMzMjDQ4VCkVEs6Wbzs5O5s6dy5AhQ5g1axZVVVXEx38z4bM1a9aQuWULBIO4fD4SY2JYv3VrL4VarVrFTVN7ty6ISU7plRSNzcbE0UN5b9mnHDi7nXNV59i/ZB1/fnYz9U0f9Ax7/hFeOejk3WU9RpZl8XrGjBnDA5Mm0O2rlENBPPVnmDF6IG+89CLG7EGUfPI8f1m+m+99cIbaZ+eyaeW7eJxxVLY7mTxjFvVV5dTU1ITzgnx+zp49GzmPNKWHB+ckU9wcw6Nn9oePRVKR060KWP4yiNH8lShR/lv4lw2Ww4cP8/rrr/cRYvrZz37G2rVr+eSTT4iJieGBBx7g+uuvZ+/evZed609/+hMvvvgi77zzDv369eOJJ55gzpw5nD59Gq22b6Lk/3fs9dB4HNR6KH4/vEyWvnSTfwXt1Om07PwIT0cL/a5/CABXWw1Bn5P0kddecpuioStQiCLt/hDJljL2H3uHQcPuQK0Ne0cC9SW07XFiyB1J4pQhSFov/a6+mvZmK6eON1Jb6+P79w6nvKyDtnY3FouOefMH8MrOciZ/xfEqFAosiQMpHDEan8fK2eKPkOUAenMqOYVzEcWvfrxmDnyEY2v/jqzMQZWRxqnG9Yztd2uvMZ+pk6io7q1743N5eXPrSaYLAoIgEHD6GDB/CmfPbmDz5s1MmTKl17NzV/+R3PnXdxH/1veYDm3dTFNNJRPTMznW0IIYCJLctpWx7l34jlTgM5rxqdSMTutHp9tDv4FjUBtiycgfSM4ty9j4s6k4nU5GjRpFWVkZsixHSm0vLq/VaDR0dnbicDiQJIn33nuP9957D51ORzAYZPDgwcTExNDYGM6t6P6/u+syhA0hWZY5evQoqamprFmzpo8U/lcxY8YMXn31VQDaqqp44fnnmTNnDp9++inp6X11UyJG2KGjnD91BsOECaRMnopFEUNHwMWJY2u4etZtfOfqRFb6lFz38HOULn2OOJ1I4ox7UKZnI+jaI6q0breburo6nnv2We77+z9ofOJJAFxN5Sh0JszGVPSNB9EYVAzJzeSJ3/+ZKVOm0NbWhkGj5MD5GhI1El3+cHjNbDbz+suvcfpYKb/96+8RBQEJ+OjTz/jo088wmUzEp+XgUqoZmn+R1pC9/mtLE0SJEuU/z79ksDidTm677TYWL17cEw8G7HY7b731Fh9++CFXXHEFAG+//TZFRUUcOHAgkrV/MbIs88ILL/Cb3/yGhQvD+QHvvvsuycnJrFy5kltu+YrmZf/XVO6Ady/q3yOqYeGrkPNVr/N/jeRpt+I8foCqZc+jys1GcUH/xGNvJGXQ7D7jU2N0NNscKGUbllgV5tgOQv5SVu4/AkIc7pEe4lRVaN9fjRgcSjA1j8atxTTZXKw6H2DI4BRe2lZGSleQuBgtTpef5hYnXba+zfsuxZC8TE6cqWT0sEIGjQ2HB6ytlZw+/E9AJjaxkPR+0y7b1VohKumfP5Ou0+V0yAG8jmNAb4NlQdUJfK02/LkxtPjsqEQFpgQVwVNW+l9/JaIo0nq+gYrtpQzW9SdpQg4qVW8xPUEQI+q1XyQ2M5uxM2ezp76ZspJqcibNpyZ4jOQxU/CfsaLXxUBjLc01tVi9HoplCdljo/zILsqOzcH4hAKXy4VOp0Oj0eD1epEkCa/X2yuXxefzUV5ejtlsZvny5SxatAin08kjjzzChx9+SGlpaS8BOIPBwE9+8hMyMjJ45JFHIsbP22+/TUFBAa+88gpXX301hw4d4sknn/zafXUMBgN5eeHqs7y8PMZecQUxMTFs3ry51+/zF8n//R/wVVbRsXoVVadPozIaiY1PYECFD3twG40BP59uKaFfRgYpg65GYzZR//Jvybzpe7D+KBqNhpSUFE6cOIFCocDX1UVTR0fk2Ygzm9DqdRQOGEjMmOuRPA4e+OAAH374UwCSkpIwG/UMHTWOOLMRg8GASqXCbrdzy+23XrjPAiazGZvNxk9/+lMef/xxrFYrtz70FDXnS1m4YEFPaHBeE/SbetnzjRIlyrcM+V/gzjvvlB966CFZlmV52rRp8oMPPijLsixv3bpVBmSr1dprfFZWlvz8889fcq6KigoZkI8dO9Zr+dSpU+Wf/vSnlz0Gr9cr2+32yL+6ujoZkO12+79ySpfnyBJZftIsyy8Mk+WTn8iy1/Hvnf8yVC99Ua7a/7Yc9HlkWZblusPL5IZjqyPrJSkk+z02ubbifflkyU/l+voP5ba2bbLDUS57/F3ynrK3es332oZ35Q67NfI5GAjJn2wqj3w+sLlC9vuCcleXV+5od8nb15z7WsfpcDjkE+88Llct/oHcUby+z/qm6mK55MBrcsmBV+XWxmNfOZ/NViyfOvVIr2XNNcXynu3vym+ueF5etfGfcigUkmVZlhs6WuU9GzbILldXZKznbEfkZ8nvlyVJ6pmo9DNZLlkuy60959bS0iK3tLREPu/ZdCQyvyzL8hvL/iqXn9gVPld7vXys5APZ1tEq3zJvmjx67Fg57b435F1HTsqHDh2Sc3NzZVEU5dTUVDk9PV0G+vybOHGirFAoZIPBIBsMBhmQU1NT5aNHj0b2mZubK+t0ul7biaIoA/K8efMi44LBoGwwGORf//rX8l133SVfddVVclNTk9zU1CQfO3ZMnjdvnpyZmdnrWt51113ywoULey278847e+3LYrHIc+bMkU+cOHHJeySFQnLnxx/Ld911V59zSUlKkrd+9KHctHOHXLd2jdy4Y5ssy7J89XU3y1PmzJXfrGuV3ztxWl5ZUSMnZ2bKWpVK3v7k/8j7X/ibvPqRu+W0GK0MyAatWjbowj9rNBp548aNclNTk7xx8dPyvHnzZIPBICsUClmpVMoKhUIG5KSkJHnlypVyRkZGn+suKtVybEr4Wjz55JNydna2LD8VK8tH3r7kOUaJEuX/H3a7/Wu9v7+xh2Xp0qUUFxdz+PDhPuuam5tRq9XExsb2Wp6cnExz86Wl7LuXfzHH5cu2AXj22Wd5+umnv+HR/wuMvBN0cbDlafj0+3DP2n9b7sqXYTZn4tEpEBRhT0HG6BuxVR+n6cSaCyNEFEoDBnURipCJtPQFkW0bbWcw63pKf3cc+Csaezu+nRItWiNx42aiNscSki4SIRNApVagUivACCaTBq8ngFZ3adn/CEEPivhsDIYBWEZc1Wd1ctZw1C4vvqqDtJ96mQZLLMq0PDLz5xATl9NnvFaZSdeZctaUPE9KbhbYbIAfwe3k3msfpc3axPJ3nyXTFIvP1okmNp7mlR7iNBfyOBQB1NkTETQamv/wB149eoBddgc7nrsDavdB+mhQGSCxAAjL5I8YcVHlkSjg6vJgignrkVi6xnHOGuLAu+vxtTqZ2K8KW+Vb+N1O4uJTaItLA3MKY/ITmThxIhUVFZG+PZdi3759xMfHM2zYMLZtC8v1NzU1MWpU7xwdQRCYM2cOf/rTn+jfvz8jR46krKyMgoKCXmNEUcTj8bBnzx4qKipITQ3f925117q6Otra2nol5fp8vsjvltVq5eDBgwB8+umnTJw48SubCAqiiOrCfi4OL1mtVl555RVuffAhDh06RHZ2T4+eJLOWTauXc7iwH7IcwOfxo1armTBxItOf6vk9fumzZTTaYd3TPybO38ajK4sprarjjltvZs+OzQweNpzHB1zB2rVrmTp1KiaTiaamJp555hmWLFnCd7/7XUzGsPDUK3/5J2NGj6OltYWb7r8dR2sjNac6+PF3f85TD90LLwyOljRHifJfxDcyWOrq6njwwQfZvHnzfzy35Je//CUPP/xw5LPD4SAzM/PfvyNBgIELoHAu/KUAPrwZbv8UMsd+9bb/C3Q6E3HDZvZaFpsznFiG9xnbdKKx1+dOTyPlLdvIS5qETmVGGfBx903PAhDwOKlYsZgB3/kZgVAIly+AQaNCqVLgcQfQ6cMGSvaAeCpOtzFo1JcnJXpcXWizhxMo30lX1Ql06UV0HF2LZKtHEERkwJg9GMu8h0gFOg6txttWQ71jNR+1tTM1L4dUyxA85w4jB4MoNAZGXb2ExpNnaDxznkCGQGedgilX301jdSWJaRlMKJjGkeoG1HkjcAGdF45FkiTMB44yKkFDsKWFmHnzON58hNLDp0GhhNm/A7UBPrwJpCD4HJhaLJxbujRyPiZbF7XP/47yxEwa42NRKk3cMP9etpWeIjUvng5TOEXULm9HJ4qoFALV7S6m5CciXMinSUtLY+jQoVitVhoaGmhoaECWZX7729/yxBNPIIoiBw4ciOR0hEIhsrOz0Wg0xMbGolarqa6uZvPmzb0SegEmT55Mc3MzVquVl156CafTyfz581m1ahVJSUmcOHECgMrKSq688kogHEoBIqq6jY2NEcNGpVIRCIRLyRctWhQJJd1yyy2sXbu2j7HTjSY/n0BzMxqvl5SmJkAgBZnXnn2W+E8+6RMuhh7jxu9vp62lnu/e8ygHDhygpqaG7OxsnE4nVVI8ek2QN9bv5oMdR3ptf+XcBbzxyj/4dO37mEwmYmNjUSgUFBcXM3fu3Mg4t8vNmDFjuP+hu3DYmokNZWGa+yDuDx5DnyThbvWDfKGFQkzUYIkS5b+Fb2SwHD16lNbWVkaO7BEIC4VC7Nq1i5deeomNGzfi9/ux2Wy9vCwtLS2kpKRccs7u5S0tLZE/ot2fhw8fftlj0Wg0ETXR/y8olPCDXfDx7bBkPnx3PaSP/Ort/kXE2Fi8O7ahzEhFkZWDoP76sueDU2fi99tweTtpOevHHwjrTIR8LqoOfI5u1EL2bi2mvr6GJXsFghIEPQG6NlVgSTUydFwGCUlGKkpav2JP4HE50JviSL32Mdp2f4T7/B5ih1+JJvm6S46PH7uAyuJV5K9+DIuczmsEGNG2GmX2ZK6Y+T30xlgAssaPJ2XQIM5u3EicSUHZyZNoDHr2rd/PzqR4Jg8czHXDB9FmbcLudqBRqXEH/Ow9XIqw5Rx5Y0bisHfwmx/+gQHXfEKXx091yVHyx8xBe/tnoIulZc/7JKg1xH4hT0r63j3YP3mJSVffSVt7I5+u2MTAvIEEvBLB4G4SE/th0Ptxul0kK72cKKthdKyHgwcPIstyxEj5Ik888QQAbW1tQFhT5eJn3uPx4Ha7SbtQ5tSd+6LX6wmFQoRCoYjEvslkYsCAAXzyyScRvZXW1tZIborL5Yr8fnRL1Hd7ThQKRcRzcvfdd7N582aGDBnCkiVLaG5u5vHHH+eBBx4gLy8vUoF0qXJjrVZLYWEhxinhBp2yLGPftCni9enm4m3z8/MjRtHAIYOorKkiPz8ftVodzgPSaBhVNBBZm8DssWMx6jWs2rUXSZKoqW/iygU3kJqayrRp4byo5557LlLi3a3ym5KUhiXOxMmDHyPLIc42dpFc9RGqjHiaq/ZgjFWA/YKwX8xXN2eMEiXKt4NvZLDMnDkzUnLZzT333MOAAQN47LHHyMzMRKVSsXXr1sgf1nPnzlFbW8uECRMuNSX9+vUjJSWFrVu3RgwUh8PBwYMH+eEPf/gvnNL/ITEZcPdaeOtKeGs2THoIpj4Cqn9/DxX18FHIHjfB+np8Bw6HOwReQJEUgzJ/MIL68l4up6+VOEMGymQ/CkdYgKx55XPUOTQU9Z/ApJkjyRqcQ2VTG9OG93TKPbi1smeSr9FlyuPqIi4+bHQmTgknPkpfaNpXV3OCyi0fEhR9yAqIjckmZehDtHjtJKkVXPvTlQQDftate5Ghg2aQkxcOj6hNJobecANlx0pZvfMkhcMKGDV7NuNCIl2xMktPncfoq2FIWn/OHlxLIOCkc+B4zvh1jBk9la6gn4pP3yYQn4leY0FnNnN2zyoElQbJ76HSFkJz6gSWFmfkWO3uAAFFC3Vdx9lT5idGHYOrv4uJs27Bbm+kssrEwOHXEJe4nNXvvAPb97IXeMNkQq1WEx8fz5gxYyKJtReLx2m1WrRaLR6PB5/PR0JCAsFgEJ/Ph9vtxmKx4PF4sFqtzJs3j4yMDLZu3cq5c+eQZZmYmBgeeuihyybGJiYmsm/fPiAc6po9O5ykPWRIuDz5UmGiPXv20NjY2Mvr0s1rr73WqwKp2yME4VDu/Pnz2b9/f6/w0t9eey3i9bmY9PR0Bg8eHDGKfv3442zbsgWFKHLL7Nn8/PbbcQgC9/z61xw6fZqY9HTEuDhknY7k5GSampq4/rrr+HTFCqZNm8bKlSsZOXIkdXV1mEymXh6n+CKBLVt3MHnvQUDC5fIgKhRs2vgiQ8ZeR0fHTjhTDNpY0Ji+/AGPEiXKt4ZvZLCYTCYGDx7ca5nBYCA+Pj6y/N577+Xhhx/GYrFgNpv5yU9+woQJE3pVCA0YMIBnn32W6667DkEQIn+E8/PzI2XNaWlpXHvttf/7M/x3ozbAvZtg559g91/h2Hvwva0Q++8PRwk6Par8AlT5PXkLsiQTqm/Ed+AghILIskAoWNNn2+z4cewtXwzIpDe8g7TDCe1nmXTPEnZvDCuBZmbncPB0b10StUbJoW1VAEihr7ZYfB4neoOx1zLrR0txZWqRRCetJ8qRtbFkT7iTQEcQJBmFRkVNf5lle/7JUNNQtu1dxxWT5rJg4SPs37WU5uYKxk++CYDD+z6lo6MeX6qS8cPyOVlWj8/vJ9QY4oQzRH/HGUZasohPGkxHVTFW01DG153GVXUC2eth6qw7aP58OYq0FPwuG6JSDbKMQqUlPxHWDczg8Zt7Qm8vbi3DEh/HDXnfIdkYbkawZP+HNDq6qDy/nGEDbw8vW7KEv/71Hl4/mMTGU83s/MUM7r77brZs2RIpAx43bhwlJSU4nWGDyOv19ipz7va0dNPR0RH5ee3atSQmJrJhw4ZIpdEXPRdfpL29PWL0u1yuSBjpwQcf5PHHH480AVQqlb20W7RaLWPGjOG5556jtraWBx98kNbWVr7zne/0ykXprvKBsGd08ODBbNiwIWLomEwm8lNTWfrmm0wqKMBfU0OwvZ1ASwuCx4lUdRzXgQOYgOsnT2bdxo0AfPcXv2DYBS/RxHXreO+991i7di0QbuxoNBr55fe/S5PHT0ZaGvfddiufLFvGvn37mDlzZmTf3R6nTz55A6M5g1dffZVO60Hu/MUnVBzYyC23/JpDh2ahN7jp7DqGKS6Nr8jQihIlyreIf7vS7d/+9jdEUWTRokW9hOMu5ty5c9jt9sjnRx99FJfLFen3MXnyZDZs2PAfz5O5LGoDDL8NSpaF5b3d7f8nBsulEEQBZVY6yqweV7au5GSfcdnxI8mOH4mrYjWBlCsQpz6OwvcqWr2eSbPncGzfXtKyc/psN2JyVp9lXyTo89JQfYqOc7tQ1R/CW/J3HLkLOWuV8bWVUjTnJ1iL3yA2Ywpjf35fr21lWcbv8lGzrYSnbnwWtUpDY0sd2w6s54rxVzNh6i1UnT/MihV/RCkoGT7sSsZMXMS0gIc39+zjJzN6jIv6ree5ZthcavcvR0jOwy062OIRmdjuwGYYhD7BgFqrJaWrgsRJv0CtNvQ+FklCfeYE69atYtzoscQlhBO/Y9sUrCl5lMLCsBHeYqtle0V/zLFT+Wf1Ae7InYjlQjPGfgkG6jrd+INhT8rF4SClUokoigiCgEajYfr06WzYsAGz2YzD4UAURVJTU7HZbOh0OkRRjPxe6HQ6nE4nV155JR9//DGfffbZJT0XF5OQkBDxsFitVmbOnElXVxcvv/wyb7755mWbAHq9Xnbv3s3Eib2TyR0OxyVzUSAsbZCdnU1eXh4TJ07k3Xffpauri+KuLn748MO8uWQJz/7qVwyfPBlVcjKCzsDm843kXRcOFapUKkRRZOTIkb1aCCxZsoSVK1eSmZnJuXPnAOjq6uLZxf8kKSGB9Rs3Mnz4cLQ6Lfff/wP++te/IssyAW8IUSlga/Hw3tuLUak8xMU1kJBQSOLcn/LTX1zJL256mH/847f85CfjMLlbEE3R/JUoUf6b+F8bLBe3s4fwt7WXX36Zl19++bLbdH8D7UYQBH7729/y29/+9n97OP9/sNbAy2PCP9+5CtL69rf5/4kgqpH8LsQvvJAlv4tg6fuImeNxFD+Pt2svO9aqcTl19LvgtbmUOorDH+R0h5MjjWWE5PBLTbKWM8l1BoVSTfK5JVjzFxA3+CocgpNOQUfW7B9x/x9Xcm1hPrWb1uEUivC2dPDAoHC78La2KkpKX8Rk6o/PZyMtYygtm+tRqg3EJg0nNZjIb3c/zYLChQzNH0VW7ohekv46lY6ij95ib7OHgNvD9HtvBCA1K4+UjEd58WgV319wFZNkNRtSAtR4ukh1Wll/fg3Th4yi9sQ7hOTeyrPlrSe4+5o3qSyrZO3+c2ypOMzEdD22YBcTFf1J0g3DnDOECXoTpSfWMSx/AZ5gIa+c3Ua+MY5UwU6/BAOSDLWdbpYsWQLA+++/jyAIYePM7wfA7/ezZcuW8PV1OMLXVJIixo3rQtM+QRDIzc2lvLwcCOe1zJ07l2HDhvHJJ58wbdo0gkEPNk8DDknEE/AQo4mJbGs0hr1dgUAg4s0JBoMEg0HMZnPEQ9OdiNtNd58dg8HAww8/TE1NDV6vt5dHZ/Xq1b30dARBYPz48Vit1j7hot/85jdcd999kVyZxuYWDAZD5FwTEhIYNWoUwWCwV0ipO6yTmZlJWloaJpOJ9vZ2NBoNW7Zs6VVNtXHNVmZP2kVmYi4qjYKgXyJrkAWFEItarSU+fhpOX5C6zo0kJl2DQvE4gpBMv34/gQ1LIau3tzhKlCjfbqK9hP4Vuv9o95v+v+ra/O9CqSmi4+hmzAOnoDLGISrCeQei2kDMwmWRcWeDKkYUziPgkbEkhl9YZ30+nth1ngS9GuGC+aISBdQaO5/ULWbHwtcRBIHSXZuJGTiLpvO70NyznOGWsIdn99FPyRp1Defq2zFrVUgaM/f/6BEAzpw5w8aNf6OgMA8x6EVwaBBCCnRCAkKsjsy5c/A77LSfPkjR5Cu535WJRqFhd/1uFKICp9/J0MSh6JQ6PEEPqmH9mXjLPEoOnKS2uBRQA+EyWwQFeq0RPdAVp+KG/hM58LfHyS8qpFOpxVXfhceXQXxmFrMmTEAURcSjH9FQd4xBWQlsLWliUX4ihjOleGJ0nM0ayJlT5XTtOUz2gCEEN+9kb1M4ibWwuQl/npFil4K5Y5TEe+w0btpGSraFQEsLibGxNF8U3oGwcXJxPssX6TZwZFmOGCvd3plFi+bxwgv3oVDo+OjQD1EpdBi0yQzNvp04YxybazYD4aTbi8Mz3a0BlEolKpUKh8MRScTt378/e/fuZcKECVRXVxMIBLjrrruQZZnExMRIGGrKhYRaCIeB8vLyeO6557Db7bz66qts2LABhULBlVde2Stc9Pjjj0fUaeHS5c9Lly7F6/X2OubusM7nn3+OzWbDbDazYsWKXtcqOTmZRx55hLWrNvK9n9xGfUMdAAF/iHMHmlGqRdzucOn2iTobgfY6Pn15ZW8Plb0ezNGE2yhR/puIGiz/CqoLngx3+3/2OC5gSJ0AFVtxNVYTdJ/C1uDH0yIhKnv7T1o8BnSNBwDY5DtPKCOZUKCLlMQCBAQGxqYzPXUgAMc7a+mQrgm/SCUJp9+Du2I/Y2fc32vOM5k3UKjLIlmtZPH3r0CjVUfWFRUV0a/fQ3z0zJ0MmnwjU+f9DkmSKTu2kcrjO8gZOJsjO99EIRpwHdqHqFDiFkWmjZgGQFAKUuOoobS9lGxzNmMX3o/v7FmGThjGvo/XUdcQ5LjaRXZ+Bmc7XHT5A5jUKoIyaBVKkkdORG9vo6uiktk3PUbrsQpMg3JZtWUbarUKkzEP18km8q++in7WjcyYOZN9TjedTXXUG/JwGorIHahj+tB09jZ4mXD1bA48/ydyEhIYPG0adZVV7DlyinxXM2ezFjJ1Si6q5GRUej2pgkBTe9/no9sw6WbatGns3r27jzGj0+mYPHkymzdvZvPmHSQlhSthfOfWMzbhCnTaWDQ+J2pBiVllJCAFem3frbYLYQ+LwWBg2LBhKBQK9u7di8/nIyUl3Buo2zjpPi6r1RrZ9roLIRy1Wo0oiigUCsYNH4PkCjD1hXHEF6WFq5s6nXjPWwFwOrtY8o83yeuXG8mVuVhd12Y7wrPP3sQnn3zCr3/9ax54YCwqVUzk2H2+Fj7/PPzzkiVLWLJkCXfffTcnKho4f+wAU6++jtHz78ShyGDHw7dybPc5LJYE5GCQtpqw9+ri3BpBraN86CA+ef4XTFcUw46D4LVBzP+fMG6UKFH+PUQNln+Fbg9L0YIvH3eByqqtqJRaMjMnfe1dyIEQsgSCUgBBQBAv31FWYdCiVmsxF43i0OEGbNWNxAxKQJJk/E4/064bAJJEw4qdDLl2BgD5Hie7drzLHfMfAMDqc7O0am/EYBluyWK4JZzPIogi42f99NL79unpbLYT8IcI+IP4fcHwi6/7pSxA1ohfUF/bwpm/vIFCUOF3ncMSr+DD//kRybnZOJptKAYnEZ+RRXxmFsW1VkZmxaEUleTG5pIbG9Y+eeGVZ1i1Zg3bDxxg4s1zGReSaKpr4czpGoZ3Olix00aHx4XNEIAC6GirQa3R42hrYNdrz+HJmYDuhBeTzohWo0Gn0nC+qYGuw3txdIUTY/1VVWT2zyWzroy6rCEkCgqCQYmkolwqj50hNimZAd+5gxOnyjl35hw3XXc1uzYUU9Xe0yW6o6MD9xcqpSL39Qvh0J07d15ynMfjYcuWLdx00yyWLdsSqeqZa2vBrT6Nx5yLw9mEx2tH67Ph9zl7bX/xfk6cOEFraytPPfVURCTuYlQqVSR01d1aACAuLo41a8JChb/5zW/Yu3cvB/bvJ9DmRmFQ4TfI+APh7Tbv3oqu0NL3+VAoImKSJ0+eZOjQoWg0ybjbmhAR6Gq0IjbFEH/BSA1fv93IstRL4M5ms9FSfR6P28WP7rqZ4Slafr9nDXl5eQyblI9YthG2P0nOlJ8z45a3+Fj5AQgC/7OqlH0VHWx5cCI8kwS79eGqvric/1NZgihRovz7iRos/woNF9rT7/gD6C0w9vuXHHb42Fu4fXb6pY+j01aDvauJwQNvuOy0ocZ6/GfOACCoRAQR5BARgXHZF0B3VV81WeixD8aOSadFocJV40ChVdJUZefTW24hS+VGSJsHi8IGS3X5EbIzB7Pv85XsCtTQ6g7yxA0/+saXQm/UM2DE10tePPuHVwlYHah8BlSDplI72YQ33oqtq4HYmBjcCjeflx2kqs1BtuV64o29y8VtwSCVNTV4z59HW1CAQiGSkZNKRk4q3emiVXUNnN/xT47uctN56jh5M69j9i/+TmvtOaz1FQQ7mwlIAbx+P7agH4fspmRXG9dN/wEAUx/7MV2tHZiSE+h66wTqwUp27qlBCmkZUHcKfUICax59jLirF3DTDfMAsOjVlLddMFgkCTkUIj42lm07d/LYY4+xYcOGr3V9RFEkLS2NhoYGXnrpeR544GFWrNjRSw8lYcaf8TbvRw64MRbeHNnWoHuRHgk9EC/qm9QtPncxDQ0NKJXKPh2lfT5f5Ofu8upx48ZhNIZ791itVrTZMb22USgUDBs2jJdeeonf/OY3EQVfAJPRhN/vp7W19ZLH8fby9zh56gDPv/I6RWk+vGWrUegtyF0NbNiwrcdLcpFnasaM8DOsVCi4/+b/YeW+OvKaTyClLsJUVUFuzFEIekEGTc0ZrjOpoKQh3LD0pncgb9aX34goUaJ8K4kaLP8KxovaCKx7JKzPUng1EK48Ebrb2ycNoabpCAZDAWfrOgl1tZDXuQvt5N4N12S3G/e6DajystHOmBnZ/mIC5ecIVlR9yUH1eGAShyXgKLMSdAXQKdU45v6KD2QH/V3VzLkwprG5nKnT76T/AJFT2z5mVtFE9p3oICTJSLLMtRO/ulpIkiSKz1Zx66geg6Wl2oFGp8QYp0GpVvQaX/D4/VhPlqHMT8Og0bFz+3LShWTuHfW98HWQZQYnWHly35OUWNOZbpzea/unnnqKp556CvfRozj37kU/ejTiF8QD+2Wm0++OJ6gvPYi/I4Dz0xUgxpM9bBj9B1+6pUL12Wo8jWE5fVGhICY1nN8T2z+WsRN6wgaNT36KPiaflOnzGDx6eGR5rF4V8bAErVY8Ph8en++SL+gvQ5Ik6uvDCqw/+cnPw9UvgSAvvPC7iB6KQpeA/+ir2NTZOKt6DJSQ206sKYbdWw+jMSj5ycM/YtOmjciyzNVXX017eztarZb9+/cTDAYxGo2EQiHMZjPBYBClUonX60WlUmG1Wi8YMgJ6UwwbL5QfX4xWoyUjNZ1Om5VOWyenTp1iwoQJZGZmkpCQQHt7OzqdjptvuZkPP/wQ/D3biqKIQW9ApQ5rNj360I+Zf8089v1+Eem3PYtCE8O7z43i3ddfjbRQyMvLw2az8cJbH2HUKGlvruV/fvUrXl36NDOnZUFef4JuG6r80ZAzkjMlxbS0t3OkXcWUwnQqnF6SZB2maN5KlCj/tUQNln+F1KHw8FkQBGpfXoBtx6eIbQECbgeBrjaUBgum3FSaOk/h9nWx5+Q2rhx3DTqdgWBtJZ5Nm9DOmgWSjKBUIOj1CAYtks2Gb9d2BIMRzZhxvXYZqq9HN+fS3hUAQegJAdRtqUVQCMQNTuTkyTbMBgWj7NXkNWyk7dUuQEDylLFd+icAcc5OHNv9zPvRPRwu68Cg/XqPhd/vx/IFsWGXzYfWoKSlykFrTRdDr8hAobyQBCyKvNuyjSxnNm2eVqYPmIyk8/PJ2U/ocHfS6mpDCvoYGpNBeccxTjTtBDmIQlSSoM+gKGk02aZsYkeNQvJ48Bw9ihwMhkN0gogy3gKiAlGnxVzXyZjfvYTSYkEOhXDtP4Co16G/oNIcrCrFe2AzmnGzycgrYs++I8h7ihk4+fJhAk3hIMzzryKruoGKk2UMmTaa0hUbSUi20Frpw+kLsuSf/2T/yJF0+Xzs27ePRx99lFWrViFJEoIgMHLkSI4ePXrZfSQnJ/OLX9zNn/+8mJaWTnQ6LXff/QOOHJkQ0UOJu2EdNZte4tG/rmf5ps97bT90XGGfsNP69ev77KdbG0aSpF5elW4MRjMup4Om+tpIjotarcZoNKJSqVCr1ZwvL+O2a2/mozWfhMM3FfUEAgE8Hg96vR6FQoHZbGbSpEls3ryZnIxspl4xDbvdzk9uuo9Zt80jPT0dhc5MQ3Mr2fe+Cve+2tNp+rH7GFroilThqVQqbl84mw2lTcwpGkH1D2R+/+Q9fPLx/2PvrePruK717+/MHEadIyZbkkWWSWZmDDlMTdKkmJT5Jm3TW7y3aZtSmiZN0zCzHTsxxHbMzGyLmXUkHYaZef84luRjyY5ByW1/rx5/9JE1s2fvPXPmzF6z1rOe9QSvrt8NwO/+8S+0mw8wLMXJxBmLOLbGyxezs9H5t7NZGc01gwbLIAbxH4tBg+VyYUsFVWWXL52b0zuoszvInBHltDy09m8sDSYxY+J3aHO1sPXwBozGKFFXMyQH0WLDv3oVgkYDsoJg0CFazAhGI4IoEK6oRT8xdjg1FCF87IzeiiCgRiKES6uQHFGlzkAtGIgKy3nrvRR9YQQAwxOMrP+4iuyRJlz6WexUshg1JpcFwx/o6fvYC+s4rTXy/o4aXK4A916d1+d0g7KMOxDA7Q/g9vvp8HppDcsoqFQfa+sRxe1s8aPRRg0UZ5q5x1jpxldmfp4P964nyZzEkaoTvF7yGpNSJpNsTKHYlI3DrsfvPkhewXTM+gRE0Uibt4F1pc+yKijhC2/CLPgZkziGJdN6DThVlgk3NNK1cgXWRYuwXXVVzz5BkrDMmE6wtJS2Pz0AcRloHclYb/4GvtWvIBzeyowlV1P+5B85FCxBECUQBCxtfjqffZ+QC6S0PJRON3KHm5TcIZTtOgiAlJTA0AQdlFdT2eplRFoCciBIS2sLY0YXEwwFewisqqr2a6x0GwQQLUnxwx/+rmffsmXLuemm6/vooSQlZWFMtDNjxATeWLucyRMm0tXZgV6vo9PjZcKIQnYePoqiqH3Gg6jcP0Qzc9ra2oiLi8Pr9aLRaPB6vXg9XT1zhii3RRAE2tt7vTrOBGeMVlLOqHz8fn9P6rOqqjzxxBM9nJiX//IMT77/IjUeH0++9zq5ubno9XrKy8sxmUzs/cmtKOPm0OYO8r9PvsTUa+7C5+8V2hMEgSUL5/G9n/2WHXUW9uxYhSAIdJpCHN35F1RZBa2VgtR4nHY7p5q8hNCiM/nYV9+MwxwGg63f6zGIQQzi3x+DBsuVQBC4avp4NuzYjFD6C6ynRhG39H/58awv8cze1eS5Wli7dyXXTr0p5jDRmYDp6mtitqmBAKrPg6ooaHJy+wylnzYdtbMdVYkSWgQVTFcPRzAYUGQF76oyOktbiARDWNK1HPvf1eyq/YCwPwl5SCFqRE+clILH3c6e55/HP2oY6hkzo6HTidhaRnxSB45whG0flCNsXUlZRirtyelYnSnodQacFidWgw6LwYDW7yMtEqZoVDJDCuJj5jpkRHyf+QPsWlGOJAnYG3JwpJgRBLhb+gbOYBx2rRW1QyUc8tPZrCHgWI1qsIIgsq9hN7PzH6LAUcC6dg+LE+yIQiwJWZAk/rnsPd577z3WP/BAv+PvIw55yt0k6kK4604yUafDvPQLROorCB/ZRN7PH0XQ9NU+9a1+BbnpCM6vPdhnX/7kYhpeWQFoKW9yMUzvQlGjC7zP7+3TPmbOgsDcuXMpKSmhpiaampuQkMDUqVNZcSZNZvHiaBDv6Wf/hTYjg5tHpBFvE5G0BkSNhMlhZcuWMiKRIG6/H28wiCzLbD94BPEMUdtgMBAIBGIMo25ScPfv1n4ymrqh0WgoLi5m797eYoSCIOD1euno6OjZ1q3ZcraH52xl3xm39HJH9p/5bbfb0Wl1WE1mih5+AYjWHLKaTfj8AcYU5fP095dyyy9fp7qmlo82bGLt+qmoqoreoEdVVeYsvo2RU74LwL/K3+NkmZbf3jWedw83k2pxoxHjWGrupCO5d66DGMQg/vMwaLBcISyLH2bBLBfq6/fwzqFSbinegT13PuMMQ9m0ZTNjiyZgkIy4WzoJ+QKEAiFC/iBhf5BwKHzWw/3sBVgFKqPb1DPprt0LtBo1MwSAclfPPn2SDgMBtHYteqOeUGMLX/zJ3/Dub0KXaUWbaOrp/fDDPybn2uvQxzkAKALcVZWU/O4Rir73Ezy79tOWD5Pu/A7tLWV4OhvwdlajU9opKIymubYa9dRXVSKdxbd5/PHHee3lN9m8bSOSFOtZCfjCNFV0kZprB0Vl0jXZAEwku6fNycPvgsfL3Fl3YLb1Gj073E+QZEpCK2kYazNz3ONnpNXEuWhtbaWsrKzPdlVV6fSHaXYHmVs8GbtJy+660z37NWnZaNKy+xzXDe38Gzn+j/+iY80/UYl+Hqc9h2nZrY+Gq4xN3B05RWjrAdpHZYIuSmSdPnUmFrOFNev6hmS653U2QRWiGUYrVqxAp9Pxt7/9ja997esoikzO0Gye+O9f8ZXDp1i3vZpEm4G1H31MQ301a7d+DPRNme72rnQbDd3GyrntIJpGPWTIEEpLS1EUFY1WiygK5I+awNG92/pkF6mqik6nQ1VVIpEITqeT1atXc9NNN1FfX4+iKGRnZGF12igpKenxvAiCgCiKzBgxgX2lR8lKzeR4xWlc7k6mT5rC28vfw+v18uCDD/Lee+9xqrya/IX3ITz8bMw5GI1GdAYdBr2B2667q2deFnMXgiITkjs51egmL8HPiCHDCJ4sR2/ovwDrIAYxiP8MDBosA4GQl81VAdyOSbxbY4Pa6JtooiEL6lWq28rQGfXoDHq0Rh1mpxWD2YDGoIspLjdQ6KyupqnDxek33sSSnUVa4qSY/dlffYCyp/5B0YM/7tlmHZqFKTcP7/YDJNx7A1LlULrqjpM0bCKC0YRbDlLfVMnxl35CYtJMQsEASWmx2UGtra3U1FdRfqAFrV4iOcuG0RrVZTGYtCz9djGyLLNnRf/k4azchTTWHKWmbDeFY3tDOvHmDCKinaZAiKCqUuoL9muwdJNyuwJh/vJRCbPyE4DoAm03apmQ5cB6hp+jtThijo2EA7hcZbR3VtLWWY2iRkCFNl87L9Rt5Or8ucSbjchKtJCkMS+buNA+EnXJkKVBaLZQYVQZ7TSgChqCwSDbdmy5qM+rG2cbEqFQiAceeABBEJiRV8idC67jGzt/yjt/f52U/KHUuTyEFBlBEDAajfh9vh7hOQBRFGLCQYIgkJOTQ1lZWcw4kiRx1VVXsWrVKqqqqnqyhsKhIOMnTiY5NQHDhAns27evp/9uldyPP/6YqVOn4vV6CQQCLF++HL1ej0ajIRQKodFryc7OJjU1NUrcVUFv0OP3+/nDn3/NnOtuILcojyOl0cy4bbt3kpOdjT8QIN7hYHheLsdOnSZkTGLO4uuorKykoKCADRs2cPLkSQ7UbGX2iKv4w9/+yNcefoiSFhcBJY1bXHEcdxvYWesi3ZDFj985yKiuIdw/NFarZhCDGMR/FgYNloFAJEgKbcyekQ2TJn5y+08Z9iFDGP3tqG7K/l/9Cr3Nhs5mw5qWBoB1yFDsxWM59eTfKfjaN2g9Xs7+t5dRkDoEw+jCaJuUfI5sfp39p46RXZBPUdEitGOifAVFUfCH/HR5IzTU1faM220wAMgRheNb67ElGhHqogRPFejqCCKFFQ4faeajgI90KfYW3BBM4FpTJ3UVq9jscjPLYUUWLbzR2M5ws4EdLz3HxpUruOEcz8TZsBm03Dcti/JWD3MKkvptY7Y5aW6u5cDpF9BLevQ6M05rBo64bIZlzae6pZJNO1/D3tnJI5YHcXtk4hQn5kQHSjCCKirYslMRDBI6s4FAxSkOt3j50ZgZTB7/MqpwAFVVqa+vjxlXFEUcDkdPocPu4qHV1VFyqyzLLF26FLfbzZYtW4hEInz3C/fy1q69ZKalM3PmcNLSHfja27EYtIRscRSMGsverbHX41zuiqqqPd6nc0Xq1q5di8Ph6BMW2rcn1qui0+kIhUK0traiKAojRozoIdZ2bw8EAoTDUcOgw+Vi+fLlvXNAJRgMYjAYMOm0oKocOXwYo8mI3+cnPjmen/39Z3jdXla9voptH20DIHNoJuFQGEVWenRrNBoNTquRYDDIwUPbqfG2otNquG7iWLTFEG/Q0hSJkJ6SwD9uGMOO3z+J2dl/ltggBjGI/wwMGiwDAWcO6fnFHP/wH9h3vkva7PsQxtz+ycddIWRZJhgIEfSHCAbDhAIhgoEwoWCYjupqfB1u/NYsKp57F2dXAxNn95JpPYfbaBTsdL6/E39NF0oolUD6BLpkE2ZAYzAzdtGXOLphP0f2nuZIczMIICCgorK7roUxyRMIqWb6y6uRNCKj5kQ9MH9+8xlWbPiQD597j0RfBI3DgDfFyFy/mXG22PpHDZWNLM2KkmkPC43Mz4q68efKCge7fAhdnVSVl/cZ7/HHH4/yV9avB2BIvIntZa20d/moqa6lpqaeuo5SwkMTESUJFJmC0nfIS59KZuYM9rXsp0WJ0BxyITTv5eSat7hx1AKs86ei7lyDZuR0SMzA19yOqNciB0J469s4uXUzltwEMmobqS9vZ8c7Nfg97p4aQedCUZSYqsyRSASv14vT6ewhtL7//vu911GSuOUnPyY1NZWVK1dSPG4cu9Z9zClbHH5ZRtRKGJw24pKSGV1YwN69e/H5fJhMpj7idaIoYjabmTx5ck9dI1mWkWWZ1tZWtFotycnJ1NbWkpubS1lZGaIootPp8Pv9PeJy3V7BuXPnsmnTJlyuaGjyqaeeihmvpb0vL0ZRFAKBAGPmLCASidDicvV4e9qa2vjuLd/tc4xBZ8ButRMMBdHpo0bT9//3+xx7fx1vrtrC8Y2HaHhhA1/4SfTYjmCYR/dUImtEkh1G9MgIfhfY0vr9TAYxiEH8Z0BQzw1m/4eiq6sLu91OZ2e02N5nDkWG02twb3uaU9UuzCNvIpA6jbCiIRJRosJvZ5r20axVezeet81ZbdUzDURBQKfTotVp0Rt06PRadAYtrkOHsSQmYM9MwxRnRWcyxGi7eN9/hhN/XYb76/+NzqxDEAUiIZlJM4ZzalUVY+4siBly3c4PWTDlahRFoSPgw2my8Nct6/nK5NkcrO5gWm7CBS/Nz370U1589SUqKioQdRLN7gDbS1tpbDpBwjlF+I56/Pxi1pTocVt3M1zfq+VidHdyw5w5fXRqAmGZH/34Yd5+/RVefeofZKcnowK1Lh/ukMqQoRnk52RS3VRCu6uRIWl5nNz5DmpXtM6NYjQx8ZpvYdOduW/ay6GjBnJ61VdL1r7CUfsYjAYHQVlBUaM1l7ynduFM3YO3K4Uf/vxflB041nOMIAjodDrMZnNMds2FcNNNN6EoCmvXro0xODQaDaDyy59/DavTjHXh1Xxt7FUEvP0r6l4Muj0mZ88X+qrxajQaCgoKOHHiBHq9PqYgYnd4KSUlpUeV9pPGObfvbh2YadOm8cgjj/Dwww+zf//+KKFXgN+/8Ht+/1+/p7XxwqUw7I44pkyazJgvfQ9bUg7/XFPC/p/OJz7UyKY/3c3se38BufMv2McgBjGIzx4Xu34PelgGCqIEhVdjHTaPzFf/m+o9h7Ebd5L1+e+hzZ5wQWn9gUZofwcpuWOI+HzoTIl9F/gjh3Avug2DVY8sKxCKkJEVjyHOgGOIlVW/3MmE2/JIHB6b7fPc3m0ICKw7VcVVRTmoKoTPkzZ7Nn79h//h13/4n56/bQYtgiAwf1gWeXmxKdS2skqWnSzlhsJchuslPjcxWp3X29XFkZ1bOXbkCBpXCQVpNmRV4E8HBWZMKObBn/6Mv/z+f3lv2RrmFkePOZdGu8dziPrjh0ltPc3SmXdgLt9AQNZRXtnca6wAj7/yAe+9/E/W7zzcQ3bOXXAnngPvI/t8SFoDCCKCKkC+hvquIMMnfonG8Eqmzk7h87/7Nm/89nkObN9K0O3u11jRaDSMHz+eQ4cO4XQ6e0JH7777LhqNBkEQKC4uZtWqVWys2Yg987aMeAAAuY1JREFUYOe6udfxuz+8SHt7O12RIN8UBESNxOTpMwn5fdx288089NBDqKqK0+nE5/Nhs9lobm6OGXvUqFEcOXKESCRCbm4upaWlxMfHM378eLZu3UpGRgbBYJCqqqooP8bv59ixqCEWCASYOHEiS5cu5Wc/+xlDhw6lqqoKp9NJcXExNpuNiooK9uzZg0ajQVEU7rjjDl588cWYOeTk5PDee+8xYsQItFotiqoQEAM0G5oJaUOIujPaPYJI56lO3nvrPWbOnElaWhpNTU18+ctfpqWlhW1bt9DV2YHBYuQLN85m5c4atn/980z43asMs7Tz8F9f4YspEUJhabDY4SAG8R+OQQ/Lp4XOWtqe+QaSEiDu669FJfw/I7hOHCfsceMqryVr0Vz0jtixj955K+Yb7iNuwgiCJ7fgD2sw2UygyAQbK6gNZSIoyeys2skbq9/ml//8KQvGXMtvPtrAj+fPo9HdQZrNgUaS2HCyiXmFUeVfJRAg0tqKLiMDNRRC7upCCQRRA36UQBDJbkOX2ascu2/f22i1Ub5DKFyOTpsDwM6gzLCEeMrr9yHWOyiw5aA3GEjPziYlYwiexnLczdWkF89j3UcfsmDh1T19ni6rprnFxYwpY/j7U0/QUlVBysixzFLCBCJ+mn2tpJiT0UlRMrDk9ZK4YCHOYVHDSVFVfvXLX/L8c89S+eFjoLNEa8+kjgG9haNH11FQMAuttrfI475Vf0ZITeK2r/wBuxa+949/su5PT/DBR+tob2xAURQkSUKWoyRZs9ncI9wGUUG03NxcTpw4gclkIjc3F5fLxbhx41i2bBkAR5qPMDFrIkF/kObmZhITE7FYLXg9n5w63Q2NRtPDL+mGKIqMHTu2X30YSZJ4/PHHWbNmDYcOHaKiooKJEyfy2muv8ctf/pJ3330Xr7d3fK1WS0JC1NvW2NiIyWTC6/X2nDv0FlFMTU0lEolQWVmJRqOJ8eqcm8Wk0+mQJCnGs9OzT6tlQvEotu/ZH7M9I2s4U279Fm/9/mt4d7xC1z9/Quo/joLeesHrNYhBDOKzx6CH5f8a9gycc26j8s3nCPz+ZlL+653PzGhxDI8WMDQkJFC/YzdZixYiaHpDK3n3jqfVaMWw5Wc47nkOziK+du7+LZkTbqHNtZk1f/PT0NyMUV/O2lP/IsXu5ctvb+SqYXeRYlPQiiKd/jChykqC5RUIGonAiZMYioajhkJoU1MRDEZEoxHBYCRw5DBPvfUWyz74gPXr15OVlUh8fDTsUlb+J4bl3AnA6DNzkYKlNIUSaDEEUFU/FjGFNFHElpZL3eGtJOzZTq7LzfF9pfi8XbS2dALgOX2Aj95+lrgZc0grGoVOkSia3T/hUo1E6FqzBreg4Qd+AXdE5rWzyMMAhLxQfwBCXoZbrBxe9zoIIidq2nFaDZgM8eQmzcUrP4ckRkg5U7pBkSMkJycjSRIFBQUcPXqUpqYmgsEgCQkJWCwWqqqqWL58OcuXL++puROJRHq4Ho2NjbhcLv72578R9AdxJjtxOB2UuEqwx9sxmAxce9W11NXV8eijj3LDDTdQWVnZ8+WH3hBPOBxGFEWysrIoLy9HFEVyc3OpqqoiNTWV9vZ2gsEgkydPZteuXciyzNe+9rWesI0oiuzZs6en6rIkST3GhSiKRCIRGhoaei5btzFzdr2i7tCQqqrU1NQgSbHlG87Wiunu++xwkiTAsESB/77OzHff8NLuDbNz7370Gtj8X3YeXRNga2mEYdpKtv3z29SnPo0oByBVwBOuR5QNSJIRUTSgihZ00sBn6Q1iEIP4dDDoYfm0sfERTq7aQeFXvwPD5n3mw4fdXVSu20TquFFYhmZBJARb/ghzfwyuKtSDr4CnCWHmD1B0FjpOPoNz3I9ob9+GqkZTeFVUEuLn0Ni0gpde3Mrq1XtZv349YVlBVlSCq1chxdkJVVXjuOtzPW/1Ze+/R7CrC4sgEj8sD1SV33/wAc899U+Ov/sOLuEwmTO+AcCJkw9jseQTCXeh1TmRtImUdJQyK/9rAOxf9zrB5hCW6giG0WMwmCTSRw9BdDrZ/YNnccgSQ76zkFBNC9ZZY+isrODtN99h6f1fZffBo1xzHoOlG+0vvID9nnvolBWc2vPb8VU7j3Pi9F4CNhsmk4lAIEBCQgI2m41bvvhNTu/bgtFgIBQKEYlEeo7rXvQvhG6ux7Rp09i+fXuf/XFxcaxcs5JwapihtqEsGLeA8vJyJElCVdUYT87s2bPZsmULQ4YMobm5GZ/PR3JyMu3t7SxatIi1a9f28bZoNBpef/11br75ZiBaSXrOnDkMHz6c9PR0nnzySSBaFPGJJ57g9ddfB2LF4S4VNpuNESNGUFZW1id0BVHRu+LiYsrLy/vd3w2BKLcrNcHO27++lzd2nOKxF9fQ8MwXcGjCkDkcdeoXUJQAshzgdEclp9QcUs3R4oprSsq5Ay/2M8q93X4p9ay+D5XuIn7KqBivVbStgCiIGDVGjBojJo0Jg8aAUWPEoDGgEQffCwcxiAth0MPy74Lp3yXt5CEaXv0Dqd8bBZbEz3R4rdVG3o3XUb91K40HjyK2nsY+cgrxQFftKrBIGI58hKQz0XVyF1UF11L18b8QJBFVVgi43eRNK6a1dQNx9vF4vft60mO1kohWgn9VVfLeX97jm9ffQsPr73H1qAKG5OVSun0LC375W44+9y/COomOhnoeGDOaH7z0IpaZM3FtOghAJOJBFLUkJixGp0skFGrijQO/ZFjy3KinwdeFp76KGZ/7IU2/f5fUq6MclUi7HxEY84u7qXp6H01P7iTj51dzqrqew6cquekrX8ZhvzjjVZ8gIT93H7bMUbiTTLiUCF0HGxk5az4ggNGBKxCPNj4NXcIwllw9vefYnTt30tz8GjaTj8yCHH719wcREHj6N/+kqqSBYDDI7t27GTp0KIqiYDAY0Ol0MeGU7srJI0eOpKamhnvvvZe6ujqsVivvvfceAB0dHcycMpOZM2fyt7/9rWfh7PZgmM1mIpEIsiz3pP9WV1fHyP4DfPDBB4wYMYJf/vKX3HjjjcTFxSGKIkajscdY8Xg8vPrqqz1ib2azucezAvCvf/2Ll19+GZPJxOLFi4mLi6OqqoqUlBRWrFiB1+tFq41ylVJTU6mqqoq53t3qu9OmTSM5OZmkpCSWLVvGVVddxerVq0lISMDr9fK5z32O2transwqSRSZNn06P//5z/n85z9PY2NjtE6TKLLsvajS8TU/fYW0fBuZQ+LpmJaFR2tGjnjI08UjitFQXqvLw9KUdCw6C9sOH8Hk6eCI1cJ1uQXEWSz93iPHWo8xM2Nmv/siSoRAJIA/4scX8dEeaMcf8eOP+FHOiD92K0ufG/4SzqLYCwiEy5sYau2n+KgootXp0eh0aPR6tHo9Gp2+Z1t/RVMHMYj/lzBosHza0BqwzbiVppeeQd39NMK8n3wmw64+0USTL4RGENAAGWnD0aeLlK8IYjkdRFv6BonOJnLmfJ3w8Dvx7HqEMnsxE5d8P6af/aveJ9KZQcoZjscvzg2XEBWMO3ayhGvX3s/h08/xbLOXsRUfY/AEaT95gjEPfIOO5iZObd+M3h/GdvudhDweZMVP7cbH6WzcT1zG9fhCdZCuQR+Xwj2Tn6Dk6DvseOpBxIQhTLjpfhQ5QpfGi2fNQVKGD8HzRhmm0YnUlLgwFyQTcvt57e3dFI6wcuviuT3zU2qP4l+2u3fCehuCNR5V0CE6UtAOzcV8zd3A3Xif/SYhXy221nLS794EBgcoMqGmMsLlu0lbeCvllYaY8584cTwnTlSjM52iTZa4Z/aXEEWBVf98C7PWwZYtW/jzn//M/fffz+OPP044HGbSpEk9FYiXLVuGLMvY7XbGjRvHiy++SCAQwGw2Y7PZWLJkCc899xyyLJOXl0d9fT3XXnst8+bNY+TIkcTFxdHU1BTTxmQy0dbWxsKFCzl8+HBMqEYURU6fPk1bWxvf+ta38Hg8pKam0tDQgNkcTTPvTo1WVZXMs3hH3eg2ZLq6uli5ciWCIBCJREhNTWXOnDl88MEHPR6cbmNFFMWeLKNur8zq1avR6/XY7XZ27txJ+ZmU9W5NmGeeeSZmXFlR2L59GwsWLECv1+NwxNHW1o6iKNxyyy1oNOD3h+na72HH1q3k50eT7qurn+JsX7JfCWHRRQ2T6aNHMR2QI2H+vnUX354zo8/5fhI0ogaLztLT5+Wiy9PBNl0dWWeI42dDUWQioRCRYJBIKEQ4EMTf1UU4FP2bc/R1zoc9LTKJQ7J6/j7XY9SzXV+NzSihk3ToRF30d/fPmb+1ova8xw9iEAONQYPl04IcgZI1+La+TFNpC/aUBISipQM+jKqqManQ3Q+PZR1djEq3cX9GIqoKN314hN9NyCb3qqmoOgNv1G1hga6IrvqPCER8RNJGUaOtx7hvC2apV0XWlpCERtu3vs7Z+N4PvsqNQ0vZ/a/vUpt+NT+9egKb292YvB00dnVwYsV7iLKCTm8grnA0bQf2E+rqQlObgCkrBWMwg/gZ1xNwN+OrL6er7CgAht2VFDrmIkQEgh/uouLYPswTxxDRSvjX1GIel0xTWzn6xDBtW9ezLzODWr0JbZfA2Y97zRCFsDlag0mu24M2eTY6RyaR5kPIbhfKxp0QjlYsVuPj0CQnoyQOB/UM90KUaD+4j6RFUW2dUHsjm5e/i3TGK6IKfgzWE+hD1SRKbWzb8Cg5BYVoNHbWrHkTgL/+9a88++yzFBYWkpyczLZt29i2LSqMFh8fz4QJE1AUhYMHD/YUBexe1PV6PSkpKSiK0pNd9MYbb8SEYlavXk1qamrMfVFcXIzdbo+q5c6YQUNDA2VlZSiKgqIo3H///UycOJG33nqLBx98EFVVe1KpTSYTJpMJrVaLxWLB6/X2pC27XK4ew8vpdDJixAgsFgsul6vHw9IfFEXpIc7q9XrC4XCPtH9zczNTp07FYDDEpFf/+Mc/Zv369eze3WtwynJ0YQ4GgwSDQbRaLbIsc9ttV3PX3WksveFZDI5Urrv2Gnbv3k16gh65bg8d7iCqIqO1DiHbNobfHHyHH41civ5M/aitm59lut5Ow5oniARL6JJqaXAVYjYUgSDgD7Syct2LXAwEQUCvN2IyWjEaLZhMFrSmeBzWOOx603kVrisbT5OZ0H+ZCFGU0BmM6AzGi5rD+bDrw23nFVTshicY5JUDndw1bhJBOUhYCROSQ3hCHoJKkLAc/TushFFRY7xEF4tjVRIFCcP63dfthdKIIkadiEErYdRKGHXR3wathF4j/kcYS76wj31N+7DpbYxJHPN/PZ3/aAwaLAMNdxPq/hc4eugF2vxt1BlnYJt8DUuu+QbodJ98/CVAVVUe2VTGMFv0AabSa7yUBBoZrlr5a1UzogAjhzkoSrUB0RDJeo+FVSGZn2VMx6k3U9VZRV14LbbsoQw5xx19rijbufAIKs6bf8sYgxNUhcefeKKnfXV1Ndp4D8c3fkRCXDIf7WojcI2LJeo0Ot3vkppsR4xLQGltRG+yoLUkEzhxAPMN18OEXh0UJRRBzE6j7YNVaB0B5EAmvplG5BON6JoaKf7ZNxmuKry9ZScVHW7Wbt3F0OQEsjIz8LTuRq6tOJOiLBA+/SaR7BZ0icWovjYi2iCggiCClIH2o18SGDYVUR9N6w77vIgGI+IZgqYQDDBm7gxESYq653U6NFodzsQKtpefpMo1nMzQcH7yk19gsyXw5JNPsmHDBubMmQNAbm4usiwzbdo0PvjgA3w+Hx999BGqqlJXV8fatWt57LHHCAaDPd6IEydO8Pjjj+PxePD5fD1GTWdnJ4888giPPPJIjyHx5JNPMnv2bNasWcPBgwcBaG5uZuzYsfzud7/jxhtvxGq14vP5+OCDD0hMTGTFihWMHDmyJysJ6PH6lJSUcPjw4R6DyGq1UlhYyJw5cygrK2PLlt4SBCaTCVmWEUWxR6Lf4XDg9XpRVZVwOMyMGTOoqqqipqaGtLQ0Jk+e3BP2OpcP89vf/jYakjIa8J6p3CxJUo+YHUTF91RVZebMKbz5xmYioRC3P3A9r//haZ5++ml+dGMcWRP/jKSz4zrxDDrzUNLNiaQZ7eg1WiKygkYSscelUDzuevy1HxN060CehmVYPEMLL517pigKHn8XXl/0x+Pr4pWNJeSOTMMbDkXLPnh9TM3OYn5uUc9xta2VzBy9+JLHOx9UVe27qF/EIn+iqYGCpNSo14gr8xqdD4eqNjI7/8Ih8rCsEAjL+MMygZBClz9Cc1cQf1gmGLmwR6nT76NFOUBh0qWF4SVRwiAZMGgMMb/1Gj16SY8ofHLoTVEVDrccpiPYgVlrJs+RhyvguqR5DKIvBg2WgYCqQtU2unY/xYGq9SiChpHDFjNq8tchbSwur4t3dn6IUWPi6knz0GoG5rLXu4NMTrYxb3gSfzy+Hr3GTJXPzR+KF7LrwHGEQBk6QURAQKfC307X0REOEoyEOOHuIFGn5deHl1Ooc+PUOwk1hBAz+n4Zz1dUEFUFVSXdkn7e9pmZmQTLO8leci+Vhw+Sfr2TSJoe81sPYB89G590CK06BM+mv+Pz+4m33EiXXEbbIQvHG1KJS7Dh94UpMlUhaCRyfvFftL50HP8IJ5vXlXPz/bcidXTR+e5W4u9ewL1LoouLq6OTp9dtoWHXIdIK7sAxcRHBtqOoqowhIfqWE2jYhiHnOgCUUBfuw08hhzsxPXAA/9anCJZ2EHEF8HZtJ2Hmkp7zSysYRyQURFEUZFco6qYPh1A8HQQq9nHPbdE+uxf2t956q8dYOfsadSvanp1Fo9VqWbhwIXPnzmX16tU924uKihBFEVVV2bt3LytXruSxxx6L8aycPV43F+W+++5j3bp1jBw5kueffx6Xy8UDDzyAz+cjLS2N+Pj+K2sDPYUKFyxYwKFDh/rsv++++7Db7VRXV3Pffffxwgsv9Hhour04b7/9Ng8++CCSJPVUdm5qaurxMIiiyIsvvsgPf/hD1q9fz5QpU3q4MYcOHcLlcvHXv/6V1157FaCHVHx2inP32/iPfvS/FBYWkn7zTxg/617eePSfeNvr4NhGQoljCPhqaKx6kedc30MSm5mjNyDLEb619iSFiRZyO3UUA6FAI5FwFz7VQlJ6EYqiXHLNL1EUsZnjsJnjANi49xT3zEgjLzerp82yY/vJcsSKLvpDXqwm+yWNdT4oisIvnl7JiCG9YwjA2IJ++DHnoKarkfK2TubkDB+QuZwLWVYuyisT5cmJWA0X9vL2hx1VJSSoI5iWnvfJjc9CWAkTjAQJyAECkQCekIc2uY2AHCAYCZ71Wtg/VFQUVSFbSEQ9UUfY4+ZIxwfMu+9nl3wOg4jFoMFyJfC7UA+/xbH9/6TFXYvVksaMGT9FKr4LjHE9zRxmB3fMuoEOXyfv7vgAvWTg6onz0H1CqOWTcLzJzajk6NtPjjWZWr+b9nCYb+9fgwB8M29qz4P218c+RsCIQ2sgJGl4Y9RCHi/ZyfVxKewr3Yfkk7h25LUYFEOfcWJ4K6oKnmZoPQX+DtpffB5p0uewXX8jwpkU1e72SkgmeNqFaNOhTTFx/NmNyMdkErQdJAzPRwg0Q+NhXMOn0zXUQnrqlxD8HaSmfI06nxebs4kpmUV8+NZR6gztJOlEmvduQTDsp3ODiUnadLoObQNUQnRRs/yv2IrGY8kspu3Qm+QV51Gg0SCdecAEaz5GDXkIVUerG0cadmO45gx5VtSCKCFVH8QrvoQmbgqSTYev7TRamxPJ0FtCIGt0Jkd3liLZQiQkO9Fa7Rg1Gp575VW8T+9myrBEfn796PO6q2fMmMHIkSM5evQobreb7du388tf/pKNGzcycuRIVq9eTWFhIaqqct999/Uh3zY0NDBhwgRmzpzJoUOHGD16dL/jdKOuro66urqYkFFcXBwrVqxAFMUeYwOiRorD4WDEiBGkpaXh8Xi47rrrztt3MBiksbGRRx55hAcffJDHH3+cJ554oodUe++99+I7U5ixG91hqe65Wa3WntIDf/3rX4Eoh2bMmDE9/++G1WrlxIkTuFwu/vznP/P0008DUSG6bdu2UdPu44Y/rWXtv36L1xtgydIlKH4XwYo1OGb9AUfhF/mVz8v+fTs53NjJo/4qJmXEcX2GmbrSaCjUnnsnrYf+RLVeR+mpSiLhkh7+S7urnS9ef/0Fr3d/qKptYs6EWTHbql0dFKdm4vJ7sOmNSKL0CUvhpaGhuZ25Y7KZO2XUJR9708gprDh+kEP11YxJ+2QD51JR53aRZDV/csMrQJWr7bIMLq0YVQ+/GM9S0O+h6sBmTImpJA8dztYXf4e/rRnn0Hwq5BDFi+/C7EzGv20H4mWEzQYRi0GD5XJQso6WfU9zvGYbqqpQNGQWIxf/EbJnXdDdGmeyc/vM6+nyuVm2cxUaUcs1E+ejv8xQkSakIJ9RBL0xcyQA7nCAXa3VHO1q5SdH1pNujH7pdKKGb+ZPiTk+0OyhNlLLTVNvovTIIUp37mLElN7sFyIhaDgIgS56EjxVBSxJkD4BdCYcP5+P+7W/0fLrH+N44PtoU1J6DpfbA4Qlma533sKbOBWTIRvZoeDQt1HT1kj6yFwS5j2GQ9QQCvs5cvR+xoz6JxqNgZqug3S1neCjFjAXFhCuq8YxdRrhhqN0uKuwOWqQGU3N9l04rl4I00WQBeobTkHZXuqaA6R1JNHpDpAzcnjPAqnPnIMhdSoAXYeeINxRjjYuB1FjxD7u+3QBtnHfx3ugmWB9O+GuKpIX3xZz3fRGDWNn57Nz0wHKWusonlJIJBLB7/eTbVVpqG+grMzcR+K+24BpbW1l9erVKIqCqqrk5ub2LNgej4dVq1bF1Bvqj3ybm5sbQ77tNjgAnE4nEydO5Pe//z3PP/88EDUMzk1Lvuqqq3q4Ienp6T31j1wuFzt27ECSpH69Q2ejPw/PnDlz2LVrFw6HgxdffJE//OEPHD9+vIdIO27cOBobG6mtrWXUqFE88sgjPP/88yxcuJC4uLievs+thQTRTKlzDS+Px0N5eXnPdkFnpHJkEc8++0tmzByPyXQbwfajdGx/GPvUX7Psow0sXTCPaebeBfP4scMkp0Q9hRFvA+FAA5I5m2umxH5nlm2+tArcAB9tP8Kkor7E5ZtGFbOrugJPMIgvFAZUGupt3HLJI/SPitpmsjMuzFW5EK4dPoa/bFn3qRgs5W0tZDnO790bCLT7/CRbPx2Ji7IT2yl541nix08hfewMvM317F35LJPv/C41J3ZTMGHhOUeog1lcA4BBg+VSEXTz/vLPM8yUxqzpDyGMuhWsyZfUhc1k5baZS3H7PSzfvQZJkLhmwnwMev0l9TMs3kxpi5d0S69XxKo1sCA1nwWp+Z94vN0HYpeLTafeJmv4CCbPmYuv8gD4jkc9KZIG0saC0XHePgSjGdsXH8JwcDPtv38IfW4+cV/7Mac2LEOKpBBotuOctISAL4JZP40hI5xUnFqNmmxCTkzgwPFHsRiSaek6ikWbzabTj3Py+BH03tGkDRmF1pGDuekAQrgd10f/wjH1OiIuLznfe4NwVxO6zXaswlRs2RNpbaygQarEkmljzvwR1G04StHMInZ88CFlR48zduoE5D1/RpgZh86ej6XoPrwlb+EvX9Z7PuZkmpqaqGkvJzPcSPzsa/o9b1EUmTZ3PJ3tbvZvPUrakBQKRmWTmZHB6qONMSnA50Kn0zF37lxOnz6N1+vlpZde4vnnn2fBggU9SrG33nprn+POJt9qtdoY8m23MQNRldmHH36Ya6+9lurqaoB+05LtdjtPP/00wbBMzvDR1Nb2Vt7eunUrM2fOZNasWK/A2Xj++ed7DKKzcd9997Fx40b8fn+/3pn9+/djs9mYM2cOGzdu5Oqre5WK/X4/DoeDSZMmYbfbqa+vJzc3t2ccURSJj49n+fLl1NTU8POf/5yTJ0/y2muvcccdd/DXdSU8v72C/T9biKqGcLl2YTbnYogfRVC/Gn/dRsR4A0+faAFaCMlRAcS62jYeuTZaqTwSbEfSxqFKfb2NnxQOOBflNU10dbkZPq2vlyPD7iRjVKyY5BudffV3LhcNrZ1MKS745IbngSAIaESJYCTcQ0weKFR3uLh2+MgB7bMvhAEl5YaDfvZ/GH0xkCNhRt7xABmFE6I7MwrJGxcNR/c1VgYxUBg0WC4VWjNOVWDE+K/C5K9eUVdWo4XbZlyHN+Bj5Z6PiCgR5oycRorz4t6KUhOM7DraednjO5xOpk/szafxN5Yjt1XCuK9cFDHvbOiKZ5E0fDzqhz+Bw2+QHKnDE/ZS1+DncFcaBq2FMROG01jWyewb7+LDbSs5sOEghTmz0CRpua74Xt5b8THGOC3J5tHccssiAJpqSmjoNGE9tpMQEi2rX0TQ6Tn5w+vRTcxHkCXSh01EURQqjpxg/PwlPWGwoYujD5NF99zCyX07aG2LkL/gcYL1WwlWrIazFh815MZYeBcNnVoqTpzA5rARqg2gMV7YbW13Wpl7zVTKT9WwetlWLFoLtS4fwYiMXiP1e8y+fft6DAkgZsHu7Ozk97//PfPm9RI9+yPfut3uGPJttzEDkJKSwkMPPcTMmTNpaWmBSDDqGTsL3fwUf8MptL5O7IoHTqyA4dfh8Xh4+eWXyc3N7ZfjUr5/D5JGy9DRxQS8YfZ+WElmkTMqsKbCr370RzwdQXbu2cqo0SN7DKn6+nomT54MwOzZs2MIvoqiEBcXR2ZmJsePH2fNmjVAVJ8mGAzy5hdzuf25UhRFoaWlhWnTpmG1WikoKECv13P0aDSzzOXayvycEO3tWwiFWnA6e1OUV4gFfFThI9so8uPi9JhFeG14Cx0nnwQVwsEWksf9HKrXxZy3ovTyLk6//Ve0RjOe1kaGLb4bU0pWn+u0avMBgsEQNy+5sGjhpwVFVdGc5x68WNw+ZgKvHtjFFyZeeqr3heAJBnGaPt0yCQMZgKkp2U/1rg0UX/9FzNbPrszKIGIxaLBcKkQRjE7UzpoB+0KYDSZumXEtiqyw/uBWNh7dTn7aMMblXjj2HAYau4KXPN76mnaOurxU+iRe+XArJklEI4iM7GxmjNfP6Y0fAdEvvFYCnQh6rYhOq0Wr1aLT6dBp9ej0ekKqh7KmPYTlIFXVWygyJCKICrRkEp/sxCNqcDoNGM06ho1LYti4qDF29fRrKYwfR9nOdlpq/axu3gpdWhKkDOKSetOqTx/Yj7fkEOKqDRS8uQ6N2YEc9lC78W+kTryXE9X/TVX1M3gah5GZX9AvObKzvRFRI1I4Pir6pcm9KWZ/qLMC3+F/ojElMTTOxtChQwFoaj590dc0pyCTJr+G4Kly0gUXHx8qZ8n485P9kpKSmDNnDo2NjfzgBz/gT3/6E5s3b2b48OE8+uij3HbbbT3z6I98C8SQb89GH4PD20yww03jttfAmoJLk8zjf/97lJ8yfzrPrz3IqhUvY5lwGwgSXq+3J0QlCAL+E20gq+iy7UhmLUmpOXiPNRI47aLT7aK6/TjuVidD09IoyoumqVri9EQick9YzOVy8cwzz0TTwFUVt9vdJ03a4/Hw97//neeff56mpiZsNhudnZ38+c9/5vGvzkJVIdkMVr3IqW+aEUUNilSH/UiYU7vf5uPnapjorqDefDNCYwCTIR1ZdRE0C2jNcdw9bil3A+9Xbkc65z5xJyYSn3dPzDafHGvktTXXo9vxHpWeU2gMJrKv+TJVa19AHxebhdLe4eatdXuYOy6P/Jy+oaD/JCRZbXRegZLx/yUGig/k83ZSsW0Ns+778QD1OIjLxaDBchlwmJNp76xmoCOwoiSycHzUBX+k9BSvbV6G3WxlYfEstFJfl6xJIzE9N55X9tdy46hUTNqLe5s60u7hu2OGABd+mCqKSkhWoj+hMKFQkFAwiC8cwhUMEvKFeL+slJ8s+Rw6vZWpY79KKNjFVe/fzFXt93HHvGnEq0dpry8njJbda2uxJyZiLBFoPXacroDMsDtviA6mQigvQnOVG0VRaT1Wha+pHTG8kpQ8K5rsmZzc8B00GivxSXNJGHUdxuRhjEt+hdKyP1K2v5EdpZ1Mvd5ISo6N6hPtiIJAKBgh0FxDfuJauuSo7gmSHtuYaEkAb8X7yG0l2Kf/T58Ys6lgLO37tuIcf3Fvl42tfj63sJi/H+igvKmDV9dsY8nUYpy283tpjEYjeXl5OJ1OVFXlV7/6FZ///Od5+umn+c1vftMTdukm3/bHQ5k5cyYrV67Eckah9WyDQxRFECRWb95D6ozPAWA1GynMyeStR7/PnM99l+fX3sfcuXN58sf3gRLB1enhiVeXc9Wi+Wz67R/Iv+c+BL1EqKqLUI2MFFFJmluEIAms3vwRt335JkRE3lq9huG5OdEaQIpKU3MDa9Y0kJqaitVqJT8/nwULFrBz5042bNjQb3bTnDlzeP75589rpHWEtLz4p4dozk7mQJuH5W9+gDfUyDcWT6PYdZItdVac10xGZzURCXTiay0jUrsff3sp1uRxJIy9lgwk/vHBqzhTetOJfdWl1NY/QffNqCoyDSYtyzTbeto0nPKSFcokboiEdNiGZ/8uyvceJHHsUrSqBkmvZePuYzS2dfKVG2cjSpfm3QhHIkifYVX3i0VufCIH6ysoTutfH+bfFSE5thRGlauN948dQhCgKxDiJ/OXnOfIKMJBP/s+ehnBF2Dqnd/9FGc6iIvFoMFyGUixZNDkrhlwg+VsjMotYFRuAS1tLt7bthpEWFA8A6cllk8yLs1OlkHHT9adYvHQeK4q+mQ+TVhR+cuh6pj4ricsc/uwJHLjer0boihgEKMiTRi0gKlPX2/WHGdjVRVmnY6tDR/hkRv5+fRfUhw3nor6WmojIrfc90V87g52fvA2ZYcPkpfmxqApITkfwqHdCIKEwZqLI3MBcSmpeMvbaFu3gfCwU1gVGWf8cDLmfAuAY29/gaSJtyFqo3wfj6eNqqonqCt9lIRsK+mFcdQcb0fUdHFi70lMjjgccSbkhIXYxkV1XVzrvkbX/j8R9nWwrDaVu27+br+EOGt2Ad49T9PUXh/NIgLUUABBq0MNekmYd3NMyCisqKQ5TJh1EpLZye0zslm+5QCCAEtnjEU6q9Bec3Mzb74ZFZWbPHkyBoOBlJQUli5dGg3V9FOZ+Hw8lNOnT0cNjvOQap//4VKef+SH4BgK8XlRL6Gqgq89Wtgx7Iv2Pe+u3r5veAC73c6z6zfy+698GQB9Vt902yx9Fi988AzxGclMHTeZVZu3gAC3f+lL1HTWsvmDTRgMBhRFYd++faSmprJx40bGjRvXp69unM9I++53v8sHH3zA4vt/DYDRYiErP5/fPv8Scz5/Fzt/fQMuvcTovEIsmXExfdaufwzJFCVgdq59idvGXUvShGg4VIlEOH7sABk3f7mnvad8Lzf724nP6iWhuwLPoaQK+FsrsSijoLWD/Ik30XKqglBHJ4GjpdSkO0hONJzXWFm/sQLlbM/NWd/BNlcnackXFoXz+oNoJRGdbmA5JRfCNcNH89et6//jDJYRySn8cdNHzMzOZe3pEyRbzXx92myONzXy4t69bCg9xrzcEX2Oa2yuoHLD+yiSyJhFd2K2J/TT+8VD7uxE+neqb/cfjEGD5TLgsA/hZNO+z2SsxHgHt826jnA4wrr9W+gMdlKYnkfxsBE0dvpZV9KKIMCPp+WQbO9LEuwPPxo7tM+2PU2d/Gx/BQ+NGsKYxIuPLf9g5mIa3B34wyEC7ix+vegbPftUFFrbXHSUlFB35BD5+TD3tocRTn0IE8+IYwnwtxfe5d1VT/HKiwLVDRU4y5KxRfQoHbl0+FuxTCxGVVTajn6AyZLdY6xUVD5Bc/NqjIZ8cie1MGrqTOISTcTNNlHzcSvzF43G01CC9YMvEJnxe5QiF4EP/o5ek4OoJqDLnMN1o4uiBtl5YL76Qcz7nofZP4rZvnfbNj5cdRKD0YZGEvGHIhyqdHHbomFkJ5qpaPUiSSI3zRlPa6eHN9btICsthWmjhjF+/Hjq6up6qhG73W6MRiOPP/443/nOdz4xlbgb3TwUWZYvSKr9zW9+EzVQOqqhfEPUVx7oAEMcSFoIB8DTCiUfQeZkMNh6+g6G/fg3rI+lNAkgmIzIeiNqu8yXlt7Pq7teJS0pkSFnvCZN3ib8qo+Zs2fy9FPR1ONzDanukNf5sHXrVsrKysjLi4bWnE4nixYtYsuWLXzve99jwrd/SJxGwq8oVHl8NPtU/C1GNB+v4Hg4hNYeh8aqx5yqoomLp/7AsxicmYyekougiePYv35D2b4wBq2CU6ej6/nfIZ5RkXU1ryf5nr/GzEcJdRLRzyCueAjGOUk0b1lDy8GNnJbNGEQdtgnDGCpJF6R/ud1Bcoc5GVnUl6fWsPM41qz+XzhUVeXDLQdpaOkgzmJAVs4f8Ogu1ni8Q+XtfTXcMv7KwlLd5NtAJIRBM7Dil58mFuaPZGH+SNaePsIto8dSmJTKD1e8y4L8HB5esAD7efhplQc3MeHqL6AZICMjVFuLNiNjQPr6/zsGDZbLgBiXieprj9bu+IxS1bRaDVdNjtbHOXD6GN969w06jZk8NmsCceYre4h8XNPO4XYPxXEWmvxB4OINFqfBglNvZN2GNRg7fDy542NKm+oxhTZh1Tlo6ZpKRUcHD9x0JllTVUFjgLwFPX20SVupaA1zVL0LlzPCRwf38c1vzMGRaMe6fgrupzfiqnkD/Ywiwt5aTh36clSYVqfBkZzF9tBB9HI8+8uPox7zk1Gt0nV4L4VjJFLi9SjpE6D8NQJralHLtyO0n0IZezfqiY0kffvZC5+gJRFSRsLmP0RXAVGCmd9niKkDjb4W0ZgAqkpE8TD/hqiLOTvBQnlrb2HDBLuFzy2ezqHSWl5evY2IrDB37twYbZXm5mZuvfVWRo8efd5U4m7NE4jlfZyv1k+Mp0YQoh4WR9RIcIfcbKvbhkaEkN5CUBum0TQcjmzE1drE48+9gcfj5sacaozz5vf0G+hopvrARnCFcDXWM/K6BwDQCBpEQWTVoVXYEmxUdlVS4CygQ+zoY0gZDAaysrJ676Gz0rDP1ZRJSkrqEa1rbGzkCz/8LwKBAA1uDzckxbGh3U17WMYothGK11FhG8NX7r4LJRQCQaCuci81TVswiwmMuON5AHwNAs6iKTiLppA0/gD+tnbiM1Mx5RX2eNrUuiLcNcugJjoPWY5Qe3oP9e1t5OQWIMthdHozhwqvITvZzqzR/UvMn4sJxSmcOtXer8ESdHlInlTYZ3tTi4vlmw+yZGIB18wae1HjQJQk/PeN/Qg+XgYKkhI40djI2IyBSXG+1GyrK8Gi/CgX0B8OkZ8Uz5KC4gu2F7yBATNWAOT2dgxFRZ/ccBCfiEGD5XJgSwM1At6WS05pvhyoqsrR8lNUVTeCAKIg8P1pU0lPSGf5kUb8EZnrR6RiN126m3hNVRuN/iDfGXN5D6Kf/GYtE3JDLFgymYKOdjbs/5AEx1B2t9p45o4f09RWi+3sbICQB/SxgkzdQnObKlrxCAo/+c51vLqvmoR6D0JCBvJdd5PX3kJKhpO0/K/z7u5yZOUYU5Ug3n+8Sc6oQlyObagdaVR0lOONT+a6hU6M13/rzAjfR5UjBJb/GWn+N1EaSgAVMfEiXdwFV0V/WsugLEpITtIESBo/PWrMACd3rSXQVgYZKWQnmNlZ3tanmzG5GTidTl79pwGzGd59992efd0y+Ndee22PSu25OJ+q7YoVK2hqaurXmOnPU1PqKqXeW8/irKiX64+BP0b7zsiM7fuJ/2XOxDRY+99gcsLEL9NwbCvZ05ai1cd681RUHlvxGAtGLmBk+kimp0/nIz7qM3Z3GDIrK4sdO3YAsWnYVVVVdL77HpqkRBS/HzUcxrNtG/qcHHR6PYJGi6qqTJw2nXVtXRRZjMyPt0FDVEMmLiEVURQRDdH5DS2YztCC6Rw89DIHD75IcvI4LMdXQUcIgERLKsxYCobYBcqavgDSe43q3cue4lhFJouuXkD66Nmcrm1h/aFybp9ZcEGO0rnIyIzjvU2VSBsrmTMnK2ZfU1Bi15qdfY45VdfGT75wDRrp0l6Oal0BkqyXJpVwPjR0dTE+7eKMsn8X7K2pYFtlOdoz4Tl3IMisYTn/BzMZ2PTq/z9j0GC5HNjOSNF31X1qBsvyVRsRtCqSJvqQGjYkk2vmzO5z4986Np1wRGbZGcPluqJkHOaLe0h9UNlCezDCvYVplzS3bml0i8XCkDiRW+9eiqooOBKSGec/QCDUxkPzf48gijgtcbEHh/3QfDxquJy1zeN3o9Uk8qXRCwkEfYwQ9yBGdFH/ts8D8aMw5keNqina4ySPWoQo6WDqzeQGfXiqj+CvOkZuRyJlZSdRrHYC615ATM1DrjiE6m5Bv/CrSAnR1F9VUQi8H5tdc0EoCuz+Byz53ZkNakyqcOHkRez78DkOtdeT3uKmyNvI3nXt6LoXmTOfW4M7gt2owe+N7b6PR+QcnE/zBGDFihXnNWbO9tSoqsr2+u3EG+OZldGrr7LqrVUcbjlMWAkzPvmsspGl6yFnbtSL6G2BXf+gpTZEcuEUtPrYeyYkh6j11/bUW+pGf16hSCRCeno6Dz30UIzgHcC8WbP43Xe/y6SZMxGNRlrq68m7Jeqds1gsaA0G4pOT0U+fw8KEXk6N2lUPQHxq/4Z38Zi7ATh5ehPHQpNJUrLJnbAQU+022P8CBN0gSLRhQx62AKPZitFkQ6M3giDQ3tJIW8YcNrfHseaxD7hpYhZfu2Zyv2NdCGs/Lue2eTkkpfb1YgpWJ7fPHzieyMnGLvKTByZ12BMM4zBdWdHFzxKKolDZ0YokCoxLz2DK0PPrIvWBOtDen8/Om/T/OgYNlsuB/Uw8sqsO0s9PHrwSLFkwjdVbtpBgi2fyuAtLr2s1UtRwkRWWH27AF5GZme3EotOg10jotSJaSYhJ+a3o8lPZFeAboy89vq2qKitXruSOO+6gzCOz7tBGZFTa/R7unBLNRGk/+BGhplLOq4bQVopoMGMumEGnoNBYfZCx+eM4tPsN/F4XmcPnk54S5S74Sj+is2EHtXtPIeksSDodkqbXKJMMZuz5U7DnTyEFyKg9Qfu25didqRhCQfSz70C0xpKV5cYKBGdsDaQLnDBs+BVMeqA3BHjyA5gzGjwtYLCDRsf4q78Q3VfTwYOHt/Gj4TMYmR5LVC0q/ZjXJIGO84R3Loa7ci4uZMx0wxf2sal2E1NSp+Aw9BUCHJ04mkZvI+uq1pFjzyEnLidqkHWfrzkRZv0Q9zO/YOeypylecCuiEiYuOyqfPz15OguyFtDR8RinTiVis0U9T2cbUiaDgeFFRcyZMwe7PXpdlixZwuOPP95TmsAgitzyne9QffPNzJgxg8rKSgw6HYgiHo+HVKuVlStX0mmK9fB01R4jiJbMcxamgwcP4nK5qGto4pZbbqZLySZ11gPkpTo4vWctkaAPVZPFmJlLEDVaXCePsnrjfqYWZeH3+YhEwggCBFNGc7rKS639EEMKTNRJVTy5uwpUlXCHn+Ha8z8HDDoJo0FLq8tHnM1ActpnQ8CsaPUybdiVEUbPxkB5CdyBAEbtp7v0fP7VN5g4NInrR4xmf131Jx9wEQjKQeqrjtF6bD+KHEGStEy47ksXceSgd2WgMGiwXA5M8dGskc66T20IvVbH9fPmc7qunLc/XMuCGVOI+4S4qlYSueWM4bKjvB1/RCYkq4RlhfA5mhLPH6xl8ZD+BZAURSESUdDpYm+P9q4A67etwaRdi2IZz9sfleFPimfBmEkAbDiyqadtqKmUlMVfO+9cVTlCxN/FphXvsBEHiXkTWLOnlrz6ZvLTUmk7cYi2E4dQURHbP8JddBXTht94wfPvhjljOLrr0mn5+GVs13y93zaR07vRFvYj6KUosP8l6KoFSUdUScwHo++EhDMu8Y4aSCyAXU9GCauiJhrmsmfSqekiTdFwj72MD99cxXaTnjijhM2ow6IXccoN+CKxC7nRZCQ7O5vHHnuMjIwMSktL0Wg0aLVaTIIeq96MoJUQtCKCVgTpLBezHKGr/TSnPHU4LClYDU7Mejt6jZ6wHAag0dtIRVcFi7MWX7DSbIo5hRRzCuWd5ayvXs+QthPk5cWqds77wn/jbiij4dRemmvKKNab6VQMGI1GUlNTsSX8N/sO7kZrSI8xpFRZoWn5URKXFvGlL3+Zl19+mWiph2hpgqTEZJ79+6t0HjnEXZu/T8W77xKqrGTW2LH88f77sc6ZE0Pa/cua9RDfq5RaUlsNEZmC1FgDsaOjg7lz5/LSqi0s236ciuZOvnfDVHQ6LSNnLAXgrQ/WYt7yLqBiS8rg5rmTqK2tYcbMuT39PLlxOUVjJb499e4+Wj8bdq1i3uT+Qw2KohAKRPB4wyQlmkhL/+yyRUKygsXw7/eIL29vYUjc+dWzBwJTs1Nw+f18cPIodxZPvKRjPQf3s0v4R/ftCWcqXmtEDfFpOYxZ9Dl0ehM7333iE/saxMDi3+9u/k+AICCY4lE6a/m0Kbf56TkMSx3Kyo83cf38iytzr5VEZuWd/81q28FGfjMph/Ej+1fU3XushU2HGslOjuWa+EMydy25DlGKFn9TFAXd7l7Cb2Z8eo/RUqNJ4d4LzFGQNKzdV4Fl2FR+Mym68Lx/qI7cws9TdM6i8/aLbkb7NOz96Am0ehOSRsvIaXf11210XuEg1c8+jOr105G1mbgRfeXlFVcjYvI54YOmk7D/eRh3LyRfYPb1+2HOQzz++OO89+67rF/2ClTvBGcW4dPPEWrWMzdnKI2dASJyFjVuibamCI1KF0HJzO4hIxn24ztJidMR56ii0DYOrXIEr0lPm+gg3WEkwaQhEgpRv7UEy8RCFE8INaKghhWQoy7myPH9WEYJ7GrYTmPIjVf2U+WuwWZwEkZlRv4NvL/nr1iTRvLr+X/tcxqb9+7B44uGoMJyOKr1o6ogCGgFIx+Wacmu/CejbENx5GWhNZkxxCdgS8/Dlp5HWt1JmksPYDNqSJx4Iy2hMO83exiRN55KWeHsJVyQRFJu6vUUzp07F7PZQntbBw9972c8+8LT3PL5awicESnLuflmdFotoiQx7itf6TnO6XTS2dnJy396lDtffL5n+2l3GF0gyBCnic2bN/ds1/eUuxC5Y86Yfj9OyRxP/pyosnJH9QmaTu9kW5MNe3ozDquJ93acYHrBOHbUfHhZVZsNJh0G039Ods2njUpXGyNSPl3unyDAwwuu/uSG/WD+r54esHmooRDCp+xN+v8TBq/kZcJhTqK9q4qBc7ieH5IoXXFl57Ox61QL37+9r4puKBRBVsDlDvGFa/JJcFw4Zt3cFcRu6X0Qbz9YSaLZTNjroelUK2/aa0iw6Bg/1IndGDv/V1duZVRuBqMKs3q2NXUGmFfQ90GmdQ4lf/yZTJWtf+aUW8TnbsLUD39IiYSo+PO3CTXUoElMQtBoUM+8IcnBaDE9SW+iQ3UT3vs7RL0Dy4gvIkhaOP4eXPXIBc+Z6p3R1F+iRQzLysvBloqscxLetQ6TnIFZb2Te9d/Cf6qWSJML8/QiVDmE1+unYuvzuK6bSK3LT63Lz+G2OkpbfdS60ggFK1l28AUa/AVoRIF79AoZGlhX1oZTEtFOyifDYSQjyUSKzYB8oIWIOIGFM/oasqs3/YKje//Bj+f+heSU/hWTPV4/V8/uv1ZQUA4yfUoxJq0JNRyis7wcX3MT1WteI3NaKoLejkZrJX14HnpXMwBH3X5mOawc9/rJMsbyqCr9Qcp9UVXmhmAYv1aPwWRm+8oV3HZgKYqsEAgEEEWRVatWMXr0aL761a/y0UcfYTAYqKioAKLy/pMmTWLDu+9w4PEnGGszgari9Ubwa/PYuWM7HR0dLF26NGb8QDDEm+t3MXVkHpnJUc9iRFbw+sNUlrSyTd5/VusCpqSIbNt5nFNtbn7z5avRaCRq3Bk0dDSQGpca03fIF2DPse1MKJp62WETRVZQ/40jBwOZ1VPf1clVBX31TwYSnw1r5JM/sFBdHdr0iww9D+ITMWiwXCZSLBk0fEYGy0Dj5plZvLqqBJ1G7OGXCQI0uvxkJpoJywqOi8guePz9U6Tn2mnYHy2a5zxRQWFyGh0HtlM26VoOVLuwGbRkOkw9BosciXD4ne24sVJXK9PcWIFH107A4mNnXQuZ1Z0YNDoMGi0GrR6jRocnfJY0eNhPtr+RksNrGTH9nj5zqvzHf6HNzcFQNIpgdTntG97Be3o/iCKCVgeqSrC2HNFkxT7xIcLeeroO/gVBUbAE2i/oMVODAUKnqlGH5IPg4qHPfYeHPvcdAqfaCRwH+1XfQDD0iusJyITrWmh+6QPUHD0Rjx+TRmJMQa9na2tdKzPSo+Jk/pDMhwc+JhgxoUjp1Lr8HHD5qHX5yW1s5e23DvUcpxEF7jX6GFa1GZNxF1ajjnB2Do7sLPSh44iijq/f/C4a7cVp85wLvaSHM/I0glZHXEEhkVCEek8l+vRJKEEXSrALd9MmxKyb0QEdERkCISySREhRWdfWhebMM70hGObO1KjU4ot6LR06DX5VZe7cuTzxxBN0tfmZPGMcRqORe+65h927d+N0OrFYLLS2ttLa2ookST3y/rLXQ0VDI2NtOeBrxyG5MCaMYOLEiT2VuXs+N1Uld2g68XYzH6z5iMTMYQhnsu26ytr54u1ziLPF3u/BYIhCb4D25k62rN5DQoqT2somFP8RFo53YtD2tp8/41rW7nifjXvW0tzVxO0LPn/J17ut2YvV+Z9Dar0SKKqCboCLKf5f4GLsy0hDA6ZJkz71ufz/BYMGy2XCYR/K8ca9/9fTuCwMTbMyNO3KsgeCYRnJquULE4f0Cq+Ni7ruPdfOov2dtSz4Umx6bsjtperDvYy4dhJjzdGHcySi8OHOQ8zMmsWE9BCBSBh/OEhQDtPq7cQfDtGgPQ6cqZo89yfoPM107nidTn8TFr0TVJlgxEcg4kV/91fxhrxElCDCqEKS4kfgNKfQWLWPPave4Nr7f0e4q4mqw38DQGtOwz7+R8iRIK3v/5C4je/R51EkCKiqQsf2CuRpN5BW0Jf7497SQcs/nsZNtGSChACqQvvBEo473BgmTSTkDKITDZyvwpBRJ3Hz5AW8vfVtbpkSy68p+/gov54+nLoOP7VnjJhaVw7bz/y/qd7D1FP7WSzsZpu9mc5gDu9sWYY7Pp10p40MhynqnXEYyXCaSL6MdNeOtgb8Xg2njkW1PWSlFUO8mwRz9A3yxuQoL2FDWxcT7RdO9Q0GgwQRMUgSkUiEZ196ClmWGT16NIcOHeLpp58mHA7T2toKwKhRo7BareTl5bFw4UJOl5djczr5V20LQyMdqAgkJCSh0/UNvQiCwNyx0erlrpoUZs+e0LNvdf3OPsYKgF6vQ6/XEee0UX2kA7vVzt2L70QWZVbt2UBYjjA0IZPJw4vZfXgriqASb4lHUeRLvq4ALfUeEjM/3WKAVwJhkDgag0CXC8n8yensqiwjaAaX2YHC4JW8TAhxGeBrA0WOioldIVbtXkVLVwt2S1/5cwBfnYa6ymZ0ei16gxbtmd+XGlMfKNS2+TCZtDEqsWuffg29yYbRYkZvjpXx9zS00bjtODk3T0c66wus0YjoXKWUn6xBUZUYUqjhzI+xqQI5Euk5LqS3c9rrRm74GG+oCwQRnWTAIBkxaM2YtGb0kh7ZKHKyeSOdwU5KNxxC8jlYdvg3jC5xE66rhDPREFVWaDzwIY65/4XOEZs11Xy0DX+dG2SV4JBC8mbHpp3Wb6/HU9YJB4+j2gWevv0WRuzbwviTbVhGDcdy01gyc60crTnBFxbcwda6rQC01lThTOtf/bK/sIISljHqJHKTLOQmxXKLFEWh84Od1O7QERxWyDxnEu2BMOHGDjQtbj50VVIS9BMIqYQQAQFRAMxWXjy14yxjpteoSbEZ+uh+JKRmkpDae318nk5eW+ej0tGBVpIYZtIz1Kgnw6DjjYZ2QqqCRZKwaSSMosg0R++8z64VNHnyZAoLC5kzZw6bN29GURR+97vfEYlEMBqNhEKhHnn//fv3k5qayovvLkMVBG5JdtBZ2YDfU4Li6H1r37VrVw8f5uzrqdfrOb72BYI+DxqdEZtueJ9r7XEFEEQBs11PV5uf7OEpHFxTx9y77dicFm6cdhUAp2vKeWPL+9S1lPL9m75PfXMtmkaFrg3nZKV0S88CqCqGQie69FjjxNMRoHDswPI6BjI797MUertStPk8WPoxXAcStSf2kpRf/KmOMYi+GDRYLhe2dFDlM+JxKVfc3eIJi3lr61sUDytmaGJfyXLfSD/1lS10tnkIhyKEQxEiYXlAg7WOJCsFY7Iuqq3JoCGxLRyzLS4plUnXz+nTtv1kNZ2l9eTeMrPPvsP7diMLeYSNccQZzBRnjUSQdD3ptLIcwbQzqunSdHIfztQEajq9NHpcJLdILJrwRSpO7aai4hCOtHSGj54b039+UtRT8afj/8v08eOp8Rwj5+aHCbVHJUxbjm8jFGwmYcQM9KbYqrsAIXcQrVVH2rQ03LVuSp8/jqiqIImgEVDCCrI3jG7uzcTlCnx16z5CzX5sU8Yx5MYotyQDOF53is3HdtDZEkZJURBEkX2rq6j1e+GMCLAsK3z0zHG0Ghmmx84j4gtR/vFRBFEke3ZUNbPtpXUookDL0RqUNAfDvrsUU1Lf7IubAY/Pi6Qx9Hho6trc1HSGqXX5KG32sPFUC62e3srfkiiQajecY8hEf6fZ9ZRsOo7JYqC8JZ17E+JoDIV5pLyB3+ZnIAlQZDFQ5guyOMGOURL5uK2rp+/u7KHFd96F2NHOc889B8D9999PYmIizc3NPPLII+Tn5/PNb36T+vp6nnrqKVJSUjh68ACbN27kjmuuYtlLL9CRlsrho4dJCugpSu5d8Nva2oiPj2fy5CjfyN3WiqooWOPs7Hp3O6Pn3YopMZPKFcv73pMbazGYtETCCp72APmTkpl0XTaHN9SQPyWFxIyosZGfmUN+Zg5Va6sASEvKIG3ehSXYlYiC/0gr/qNtSDYdpskpPS8dA/nyoQ6gtaIoyn+Uf+VEUz2FiZ8uqbe9rpxxE+Z+csNBDCgGDZbLRbd4XGfdgBgsoihy+6zbeWfbO4QjYXJTY/UkTBYjuSMHRhb7fPjwlR24Wty9RpAQffBJGgmNVkKn16DVa6K/dRoKjLG3TygYZMvrq3A1NBKfkYZGp6Op+jDxYpjmjBq2vP8UAiqS34lfX4WitGI1jcQYfzVzR83mYPlBNpbsAzmMLMuIkoZQOMABcyrvv/o6DiHATk+E6T6FCl8atZ0NfOz7kOGHtuI40sW63B1sOH4EISub2lOb8NqDfH7EHJojzSydNZ9jTTu4YeT3ATAkDEVVVQJd9WROufW81yRjahqVH5ZT+WEFEU8IS3EiWrsOJawQaWpFCQOCGX9jBMeoQuLH5BEJBBF1Wrq8Ht5buYHE1DhC7XCgtoQZ+VOoO92BqpgommGh5WBtz1iSJLLkqyNZ/6/SPvMYfkM0NfP4m7so+/gocjCC62Q1zvEF5P70dnSWC/MfLCYzwY4OrAfXMlyRGa4zIehkSAaSox95JKLQFYjQ5QvRqho54sjpa9CocE8gTInBR9CmQ0k1sWjVITINWlLMepbuPsXieDv3DkngiKxQFQhSaDb2satDioIoxKZ3azQazGYzb731FjfddBPBYJDp06fz5ptv8soz/+LOm2/i2quW8M3vfg+73c7q7Tv5zW9+w/4TB4ioIra0aLBNURTmz5/PqlWrWLt2LYsWLaJ+ZynNx49iz1eJT85Ae6aIqKg3se+lNajx+ahARaiE+qYWzGYjty5agtGqRW/SUvneW2TYHRx+q4ScNBOiIxsBEHUi4Y4AFwtRI2IeG+UwhZp9uNdWgySg9YQuuo+LQasn1IfofrmIKArNbh+/Xb+KB+cuvmLD6lBjCU/ujmanqaqCXtJi1hkwa41Y9EYsOiM2ffTHqjdh0uouacyDDRXcM/biKqxfLlQUNNLg8vlZY/CKXy7OFo9j/AWbXgpunn4zy3cuJxgJMiLz02XSn4ur75raZ5uqqkTCMsFAiFAwQigQIhyMEPBF8BErPz/jtsXUna6mfD8401IIG2rRCLtJH/0Als5UBEGktaOaDk0nZu0kirJHYrVksqbpBO8fOUEkIjI3fyyOc8JJS87S5FrQ6mFNTSv3pcSxc+suMg5Vk548E5LBXNdIWtpQAu013HX9T9DoRBoqV5PVXss+UUthUiz5TRAEJOMnEx0jYRWTQ0fW1bHhoJa1ryLZrCiBIG+VB7FaS0mz22msbycl1UlXp5cJY/PJG5qNRqulrLqCrVt2o9VrkTQiQomE3x/G5WpDp9Oj1ek+8SFYdFvUY1BX0Yw0JJ5hRecX/lNVFV9DPd6SA6hBH6LOQNL8mxAuMEZ3PkP71uWMciSinmUjrypvRW+QaDYKTEDBXuHiRARKq7wc6Qyw0RcCAZ6UVZ5WIdlhwJ5sxmHTM8JiZINyCrNeIs6kxaDTkPzth3jnt3/gpqFR1dybbrqJhrYGNFI9727ch0ErEgpFF/Ls4UUkpaaSXTAczlEFDraUIQsSWKJv1cuXL8fhcDBz5kys1qg3pK3hGDqTllHX3BXDKTAmxCOfPo4h3MaoL9zJvl+sIacomWtuWYp0RtJdjciEVT1ZE8cyZI6Z8P6tCMYGpJGTUILKZXszdEkmdEuyUBQFedXA1PzpxummLnISL75kwIWg02j4xeJrON5Uz7Lj+7hp5KXpmpyL8cNU7h/Tm3LsD4foDPhwB/09P02eDryhAL6Qn4ASPn9nZ9Lwz0ZlZz1vlLwS8+LV2z76t1EyYtFZsOqs2HQ2bDobdr2deEM8uoso8Hgxn7gaDg/yVwYYg1fzcmF0RIXFugZePO76Kdfz4d4PCUfCFGcXD3j/lwJBENDqoh6Vc1FTUd9nW3r+ENLzh/DyP99hyJBMEuK+z5E95cxYMAuHI5N1x5twJgtsL2tlxboysh0lDDFKzJo/BJPewDv7DwICtRY7cVYbdo3IDckOdGfesIbFaRBr/WxqgK8vnYdNH32LPPTxO5hT7BiSkxkxa1HPfJLCbRhG3MtMbz16R1/FYDnkRVVUBPH8Tu+h8zMRdX15Sonf+iZU7YCj77AgezqjFvVVqd314To2bzsMsoroUVl6z3zCoRCRcJhQOIQcCtNYU0MkHEaORJBlGUmvY/Nra9AZ9Ey5cU6/c6orP4W3vou2krIefoGqqIgaEVPZmwhq9CEvGe0IcUkMsfkwGsxQooHC6GIRDLagIhMMNBCJdGEwZGI2R9VTnMkmnHnxMWNWrnqBte8v55F332ee04Y0LUqwnZ8Y5V0FwvKZkNPZxGA/tfVelrlaCRu8dLRE7yNJFCg2d/FCipFHnXZutKbSHpYAM/r0BYT8EZo6Ojhy5AiyLDNu3DgcyamsX/4G/3rlMTweDyNzRY7tfgb8B5Gd+p6Fy+Fw4PV6MZvNPSTcvBkjObZ9J9UbNgKg0WvRmAw0Hq0iLtVGxrQJCILA56+fjKCReowVAEQBR04mLcdOEwkEQQHXwXrGjBYRjVcexhFFEWWABd7KW70sKrpyz+/ZKEpOY82pY1fUR3/GnVGrw6jVkWKNu6K+LxayIuMNe+kMddIZ7MQddFPZVYkn7KHOU8d3xn3nInr5ZJNlsErzwGPQYLlcCAKCyYnSWfepiMddPeFq1h5cy77SfYzPHTgPzkBCbzz/7ZOXPwyP20fV8RqmTByF56ePoLn5Jmbl56PLzGROQRJQhMvloqKigrgzjPvFRYXsrK7DoYQYmxTHC5XHeNl9mHidDsIRdCXVjAhmYrcN5eTWaDhFcHfi1LQz7Nqv9JmHTATvob9jyL0Rz/EXQI7yNNSwD/vkh7GmDqe1ZAuJBf3rkQBoLf2/cTU21NLeaaDdvAiruX8F08lX9xbQ27d9C/Hx/Yv1nQ1vQRelu09woRsrHHAx955YrZFIKEwkImO4bg4A2/75IVpVQdtRipIzFqVoMuL+p3oMlsqqJ9HrEhFEDU7HdPyBaszmHBS/DyES7sNbMHi6aK+uYlH7LmhXiaiglVIgMSrIZtBKDEu0MCzRQn94ef8RWoIKCWgRBBPVlRU0qHEI9V7ecVVSVtVE65EtXDUpytGRzogEAnz5y18GwGQ2MSx3KC+9/E9uv+12fGEN5WvfIDGx1ys3Z84cPv74Y+rr6zGbzVgsFhILJ6OvNjJ00WhURUEOBIh4PZw4YWTMzb2GrGlc32rI5SfqqK8T0OosIFiYsnAUoTVV5/9w/g3Q6QsPWOHDszErO4+/bFnHd2cu6Hf/C8deINj9HVNVcuJyWDi0Vy25PdCOVfd/mw0liRI2vQ2b3kamtddD6Qq4WFm2csDGCdfVY546ZcD6G8SgwXJFsOpSebSmmdtcTWQ5Bp7ktah4EesOr2PP6T1MzL84N2xXMMTOiirS42yfuprkhTB5TjGVJXUkJseTnZ1ITWMjajhCYN3r6K5agpI0Ar/fT2N5LftW78DQJYKq8PGpo0y/ZgGj06NkxBytiw0tLq7yBJlkSSFh4W1I2tgH8fPLn2Rymp5DWx9h+ISvoTP0Zlo5xkTfllztJVSVbkZzpiqv3VULex9FlSN0th7CLNow5o65JOGvmqYqyvd7OJEaoqqhFEttLQIwfVwezWdE6tpCAWYlZDAvJY/6dhl5Q1QArds1HeO2FgQ89R4sqWaaZZWQUUvZxn20tLm4/+b+F4iNGzf2FDjU6LRodL28hUDFSazFV2MoEtCu+F+EDVWw5H969hfk/zeyP0zTyc349OUkJkarNwe2rUBq2I5eo4tWaT5TL6u7qjYl6yBvAfWNZaRGLuCuPwd3jxuFqqrsbmxheflWEo1VjNZbuH/sVPRSMs3zfo+sM9HqCdPqCdLqCdLW5aPFG6HFE6LNJzM86RjDnOXs9+6n4o09FDiP4tBpSHQWxIw1efJkGhoaaG5uZvPmzdx66600l/l5+ddbSBpqxXGmcGJ6Ue93RFEUVr+6k0W3T0JzRp1098fHqC9rZ+kXpyOKIqtf20np0Wo8Xt9Fn/cnIRJRLujhuxwo6sDV/jkb4zOzCMoRVp06yFUFxTH7GjwNNPua+dHEHwHgC/l4/fTrMW3KOsrIsmUN+LwGAsdaj1HoLPzEdv7ONrSWiyixoCoI0pVnkA6iF4MGyxUg1TiEWV0y++rKWXlqNwBWrZnrh08lboAqmy4YvYANRzdwoOwAY4f1ffuD6IP241MltHi8mHQ6JmcP5URzCy/t3Mu1Y0bguAiexuVAUS7sFh0yLJXt6/ejcRaQ8cTfQVURJ4wCs4lDJaUs37mHkE7P6NmLOKHXY9ZJJI3SUpSa3EOy6/S28mCJgDYtDlWWQVVpf+MUmhQTttnRt6NOn4vh435COOjh9KEXiAS60Duz8NYfwGDPxJ40krbqrYyZ9TCCKNLZVkr984+hLr2eIblLiAt0EKk8SWjD24gJQ9COubgqvBOLp9PcUU7FkZPMmZpFQUIyGklkt7+Fb+VH+UB37HwfvdjA8a42jlsVnjgnLfpsqIpKS4eHj3YfBg1MHJZNfmYy73zcq/fTWFPN/u1bOd3Sysllf+CL1//gvP3JnZVEOg5QUaFQGvcV5sqvokueigTUB0I8UtGAUZaZosvkxuT8nuNMs5fCjhrIWwCl62I7DfUu1LWuJsZm9y93fz4IgsDk1CR2d5j51vTv0drVyuaSzQQjQQSNQJIhiSUjpmAyxvKYFEXB7QtQ3TyNutZS2jrrcPuaKG3Po1DYTGJ6bHqyyWRi2LBo7SePx8OmTZtwB3wMn53Fqb11WFOj91dlWStNLQ0YTDoUWcHd4aPkcA2pWQkYzXqUiMINX+7Nbpu2ZCSeTj9tmoELBbc2e7HFD+x3VFFV/rahBOilcOg1El+Z1X/No0vBtKxc/rb1Y4i1EUkwJlDn7r0u66rXMSI+lodX3lnO3Mx/z+yako4Sbs0/PwG/G7Un9pJ8jrE2iM8GgwbLFcDpcHCisZqbR/aSVVu9Hbx7YjO+UBAEgZGJeczOKbiit515I+fxxuY3KM4p7ulHUVUOt7RzqqoaVYDJuTnMj+v1LCTbrFTFO3n8w7XcM2cWWfGfTrExRVYQpf5jF6Io0tIUFf7SpqSwe9NhIpEIAK5wkGHDp6HTaFGBeIueOfmJ9NI+o2gPu/lbwnLmpy4BlwfhuTbChElyx5MpiYh6kVp3Hc2+ZtwhN4UTHkAQBPydNSgZ0zBZUmlq2EtqwXUIZ4yg8iMvY1jwS1KGzIiG9owOtMOnEqx8BSnrfLJu/eOaOTloUNh7qpLRoUZUoCMkU27tIifVxutTesM2fw3UXLAvQRTYd7qaq6eNwWGz8NHuYxwpraHT7aW9qYFlr77ChKnTmHPtUiqee4Yb5j2AcIFihtb50yi+/laCXR7q9x9DHv4sSnMFkRP7iAce1UhoRk5FdMZ64qqbSvh1h5bbD29E6GzAXPMUdo2EhIzG34GUOhJNzREOuFw4M0VSwxFsGumS7vFuIbIEWwI3jb+pZ3tdRx2rT64mHI56bvSSninZU0hxpmC3mBhlGcKonLOYwK4qNv51DVJiPufD1Klnvp+zo7/Gz+o1buSITHtLF1a7mVAgTP6YoTTXtVNT2kjQHyYx3siJjQfw+/wYTL1GVGJa/4VDLwct9W4ysvrXX7pcfHdB3+vx2PqSAevf5+2gtOooVXWnMeiN6PVGCrLHEgr4uO/9e2hXOrk251qW5saGLd0hNwnGf0998LASxqLrP5x5Nlz1FeRM6t/jOYhPF4MGyxVAsiaj+A7HbEswx/HF8VHXuqqq7Ko9zt93rQRU9JKBa/Ink2a/9IdTcW4xW49vZUbRDN4+eARVUciLs3PbhOLzLhTbS8v5ysJ5xH1KHpbs/AxOH6uicPT5vQYJifFsX78fFWisOUrRmHgkSceEguno9NEFwO0P87tt5bT6wqgS3DyiV5vCbMzk0SW9WhmRSRHWr1+PHB/PxtZd4FJxp8o8uudRbHob/oifb4/9NslxvVo2aZm9qrHhsA/CfjSiBp2+N5YePn0SMSsf0X7pC9HiObkspjcNPd8X5HB1Bzmpl16Z1+f34bBFH5oLJ/W+nQarushMHILZasPX1cW4lCTibdH5R4IhXKdrqNt/FFNCHACeshY0KRKiRsLotKM1GEGSzniPoh4kNRgifGg7qmcr7kiEGqceiyMNb1cTf5x7NzZrPKqi4Ha34Q0HiSAgqwphBPyqymGfi+OHTtChQndg6Gyfm04QybeauDbNRrEzEemMwKI7HEAv9p9ymx6Xzk1jew0YT9DDjrIdbCqNFtVUVZXC5EJGDxkdvUfaSqOmT/ywS77WAJJGIjE1asx3FyiMi49e133LtmFIySBrzOhYEu4Aw98ZxP4ZyPIPZITI5hJwdbYwsmAyXl8nb7/2F3baPqTYmEaVqY1vzPw2Lx57kTZ/G/HGXvK2itpzH/y74WKzvVSBf9tz+H8dgwbLlcCaAiEPhAPQT80WQRCYkjmCKWfSkz1BL8tP7sTl9yIIYlTV9awvSbolg0X5IzD0U92zIK2A8vpy3vx4LUFbBp+f0Dfj5VxIosTWknIQQEIgNymeEWmpAyZQlT40ma0f7QP6GixVp3fj9TQTn9hL1TDoQhSMXkJjzXHam6pJGRKNF1uNWn41L483DtSjFcSY+VXWHuGlulPotUZmFy0iOTGTxYujBuE0ohLrnYea+dqYrwFwoOkAJ9tPkmzun7+j1ZoYu/B3HN35l5jtSt0x9HNv7veYS0VDu59UW+/9IMsKB5q7LlLjr/9VRbLqmDR1Dh1qJ9Xl5YTP4vGcWvkxRqudrLTRiGcWVnFRIVXHD3H6g02oQMjrw9feQeHSXne8oNehmzQHgLUnGtAEZZpr6/B4QrTrQgQjdfgDIQ6eOkphQSo1x06Rlp+DzmAgyxHHQoeNW8YXn/dMOnw+djU08cqeF9mVPbZnQXCF3NyZE0tyVhSl3/vSorewsGhhTLujdUd5fc/rxBnjuNpfQ0DQQdzAaxSZ4s24GtoQEEgr/HQ1kD5txeoufxiD5vIW2ffW7SIUlnu+x/vKW7hucj4TR0fJ0auObCJpSDaTJyymprOKfFVDgaOAsBImEAnQ4mtBK2rRSbo+dZ7+X4Xi9yMaLq+O1yDOj0GD5UpwRvcBTxM4+qrT9mmuN3PXmPn97lNVlVNtFbxwYC2yqsTU7uhOW43IMvPyxvJ2ZbDfPs7FbeN7+QVBWeZIYzNv7HiKIouZnJxFWAdA8O58L20+TzNF467td58oajh++AlOHIbx03+Kqonj1SMN3DwyhSRb7Je8OG42n5s4Hq/HzWPLfk9WXhFJ5iTmj4xeR1mRCYVDlHWUkW3LxhVwkWC6sMtZkcP9zFzoV9PhcqDTiOxp6uKdpg60ooAoCBQ4THxjxCdXbT3f8BqnAZ0gc+DFdaSkxZNT0EsO1Oj15Czqm40wonBRn23nw3XDU4mEZBrKTKjDR5Bg02MyaIkEghQ1VaI2dHLj0ms48t5qir9wC8fq6rhmVF9Z+7MRZzIxOzOFnQebSWnu5TYM0RkYZo1VFX7swGMYNb1eBhUV4cw/s9ZMobOQ4QnDMWlMjM4cTbu3nZz4HPw717M5PkDzrlcpHlLMqPT+K1NfDobPLAag8XQt+1ftZMTMMeg/QaDv3xWnm9xkJ1yeLksoLHP7Vb1eytvP2X/VnM8RCPpo9jTTVX8Qd8DNOGZzdc7V7GzYybvHNyNJKoKgEglreaD48s/j3x1d9VWc3LkKl6eZBTd89/96Ov/PYdBguRJ0L/gXabBcCIIgUJiQQ2HC+Ulxa6vbWFHTwedGpF1W/83eTRTlTWFk/GhKSlYTDnfRn8nR/SYsikaMxgQsllSs1mQMBlPfN8HzrLCy0nneuUhaHckp82mV23mntA2jTubLk4egPQ8XBmDDyhV8a+kPsdjsLNu/jDd3v4nX7aOutpHktAT+a8N/8ZWxX2FF2QqGxQ1jZ8NODjYf5H9m/A8OQyx/p/r0SpJyYmPQmuGTCG54G+2sm6jcfxpPlwcAR3I8maMvjajYUd6B2wQ/HJPZ53odKq3l8OlKzDGkbJUWVycJdivqWZ9Ha+vHBIMOTpxoxe/3k5meiSMzkQSbCXtidMEfyDfW03uaiEsyknamVlEkFMbT1kba5JFIGgk0IpmTiqnfeoCxcy4ua82gM/Lzmx+N2fb25uf6tPOICWiMuaiohBWVeUlDKHZGNSza/G0cazvG8g//QsK6g1imT8fj7SJgbuLjg8f4QlEiuVPvYefpnbyy8xUkUUISJOL0cWQ4MxiaNBSTztRnzIuF3mhAEKK8sf9UlLV4mDos/pMb9oOzv+GhUBh/IITdFmv86LQGXlr7GLMKF3LLrC8CsHRYlL9iUnMwaCTmDhvNk7s/vKw5/DtB9vsp2fMR7fUVoJx5uVRVFFVBk5DAmOvuY0/zXiTbpYeEB3FhDBosVwLLGYPF3fipD/X8kTrsOokfT7u8WL0rFCLZlMCYpGimUWHhNRdsr6oqkYgbr7cFj6eBmprDhELBPnFef7iBcHAEWn1sqnHIH6SloQy9wULA10lSei8JMD45mwO1v6ZBSOGusXedV1nSGwggnSGVikB1aQkZ2cPIUzOoOl1CknM4aqcRvdtMuimXl4+/TLwxnm8Wf5NqdzWBSKBfzQdfoINw4wESnPk0n9yBuzX6+SlBN/LWg2SOziUn3o6/3UPN6coLXqf+EPJF+NK0/o2cyvoWbl84BV0/Yb93N+5DVXsNEKdzGitWfAiIZGdnk5yczNp9a1isn0r93qMgisjhEElFn0wUVmSFrg+2Ind1EX93/56voumxhvCJd9eSmJWNLMsocgRZkVEiESwpA0+adBiS+EZ+1Ev055PbiT/LwIg3xjMrYxZkzKJy9CE6Th/j2tuj6erVx35Jdkr0uCn5U5hC9P+yItPmbaOmrYa1R9b2aIMASJLEiPQRFCQXxBTbPB/cHV0kpCVhtF6+0fN/jWZ3kHT75XmHWrt8vLpyKxuO1bJw9BAa6qq5PtWDJTWLxHFRw18URb517c/YemJdn+PzE9J47sAqTrRW0+Z3XdF5fFoIy+GL4qUoioLWZscUn0xO8Wwk7adbZHEQsRg0WK4EJieImqiH5VOCKxDmb3uruCo3kYkpl59J0OGvx2K8+BCQIAhotTbi4mzExZ3fSKq1HKXTVUtCSmyb3JHX4Olspqu9DlWVaW06jQAoSoQNZgt5cddxb96FOSPv7j/ITROiGiCpcUOpOVzO4Y07cMYnUzR2POakRFrqOxg7dixFxmGcbilh7OhCdBoduY5c9NV6Au5ODq58Dq3JgiAIyMEgKcNGIdjgndf+xOJ5N5NQOI0PtqwDVyZL5o5Gf6YGS/mh0xTOvHDarq/dw+m9x84oqgqoqsqR6lbGhDIx6PoSS9s6uvo1VoAz1aoF9u7di8cT9fCkpWUwbty4HtLnf33lQfb87RlGff0L583OOhtNf34BbUoSajiEdlIRVW/tw9bSjjbxk8nFequFlClFn9huIPF8+V5mJw0l09L//FpPHaJw4pLoH4qCGvIg2fuG2iRRIsmaRJI1ifFZscKLgWCAI9VHeLv67ZgqxGlxaYwfOh6TPtYwGTIqhyPr9pLJlacE/19BVaO1qi4HX799AcdKqvjoaB23XzWNTR97GDrzVsre/zutJ/cydP6dmJKHsu7QCiYW9C1wOiw+md8suA+Afxx66kpO41NDeUc5aeZP9lyLosjEa7/4ie2E8wbLB3ElGDRYrgSCgGCIQ+1qHPDbU5YV/nWoFq+s8OCUHPSaKyPlVbuOMTfrwl6Vy0HA14kzua8hZHMkY+tHTG/TrifI0cSzcNgt5+2zxFXF6vrjGL0lVBw8DCo0NXQy746vozdGXdG7VpRTt7aczPw80vLiMNmSMJTqKD1cy86mE2SFW9H4jrBnVz0FC24hLSfKbdj59t9JHzUFnd5Iq2pldcV+dLVHKR5ZzPMlLzCPUeg5Y2g0lSD6s8B6/sW9+mgZhdNHYzD3vr2WiPsR+wmVhSMyBv35v3LZqQk0VZeTklJAxgUkvSWtinf7YaxnOBbnQ7C8Fl1aCo7bF/dsG/XQt3G9uZr4uwb+XrgQVu16C3/QC0BG/PnDp0ZJw9aWKva31/PFnPGxBOzjOyEiY3EmEfD52L1yBZ2yEWyXFiI16A1MzJvIRHrDWqqqUtVSxZqjawjJvYUITVoT44aMIy7JSVtNC/GZfSt6XwkiEWVAs3cGGi++v5maNi+Hqtu5Y2rvS4mokci76dts/s0XGTo3miMWDocwaC5MNBX/TRfy4+3HGZc87pMbXiR0dQoBrysmqULQSgh6CUEnIurO/F8rIUj/ntfk3xGDBssVwmIx4elsZSDFpt8qaaKs1cvnRqYxxDowTHMVEc2nkIkQCrkwGC+s8aIoCrurOyhr85JgKeaavGkXbL+9pZQvF8zBOOKqnm15o71Unt5CJBxAknR0tiQwel4WueN6pe6H5w5jeO4wukqqOfn+Pr70g8f79C1IEjp91LiYkDuBcTnj2Fu2l4NlBxk3ZiwtXc1YjVEOh6Mgidq3XiUxu5dcKphM6CdHdT1C/iCRYLjHWCmra6HD7WXyiBzW7DrKdTOKY8auaW4nO/38Xq7xhdlQeP4U8W5EBCB8fuJ1xO2j852P0CTFxxgrAKJW6rNAqqrKpr/8k9S8M0pgZxpo+vEQXQ52Hd9Ip9fFHfO+2u9++Swezu1DiwGo9rbzvyc2Y9PqidNoGRGXQsfh7cy7/XvUVddwcvM2pk0bxhP1GQNSLV0QBLKSsshKyorZ7g642VOxhyZPI3aXEX2dHo0gkeXIJmNoDtIFDNCLQVuLF4vz088m+SSjKBSRqaprZGhaEhpR5Jf/WklVux+nScttM4fz0y9c1e9xxXf/gNJVL2MfP5O6jr2cLg1w+jxj+OUgVtOnowd1pWj1t5Ju+WRS/MVCjIAhv/dcVVWFiIISlFFDCoo/gtIZRA3KsVoA5yP+dxs+Z/bVdTWhxsXeexqNBq1W2/P77J9PMy3/s8SgwXKFSLGbaGzvHFCDRSsIXDMsYcCMFYBP04gXz4n9RiIyu8tdVLoDABwO1pJmDjM0XqT5PAvt/uYTlHla0IkSedbEmIwRAL3RTMGYaCggHAoQ8G6gy1PN8X16huZNxWRxIogiLYcraDlUjjmhVwDq2Lb36agpwxCXQLCrN4b+8oaXMRvNjMoaxYRhE3hl2U+ojtTgbXaihn0Eu7ZhLyrCMKU3s+vI8teRNkbnpsgyw2cX9+x7b9M+0uKtVNQ34w/2lax3uX2U1TTS0Ori2IlT+H1eTBYbD99/BxB9qMkqHHL7iNdpiNNIWCQJzTmy7UePHWH07L7ZZoqs0LnsY9RgAMedVyHqzxNfP+eBKAgCQ8aMITF/GNaMgfUgAFiNdsJKGLevE6upb1jzZFcTWZbYcYeYnTw8Yg6qqvLfJdVsq2ln8aFWtppXYUlMZP7dd8Cp1Ri0YbBeOgn9oudusDJv+LyYbRElQnlTKZuPrEeJyD3bU8wp5GUPR3cJmUStDR5SMj59cub5+MJBn59vPhbVOUq06qnpCBKSFe5fNIp5Uz4548qWNYKRd+fSsO0dvn/jPy7YtrFuN96Q95Ln/llAURU04sAsh96AF50mltMnCAJoJSTtwBgOwY8rKJrQ6xGKcg4jhMPhnh+v19vzf1mO3qddXV2MH//vWZvuYjBosFwhUlNS2br/KJemj3phXJuTwOP7qhmVNHAPshznCNaWr0QrSoxLmYbdcPl8mHPh6WqhrmIv8hkV2xeCZr6cP4mRWQaeK9nM1Hg712dFY9s7Go/wetlGxsfnkHeWdkadv4Mbs6Zd1ENDqzNQPCNawM/T2crBnf/E5AFvo5dEexFF99wV0z5S2QRltXhKN1FXXMQbm9/AoDMwoWAChem96cFjcscwevSdhFwnaT/5NAlT/4hGH/tGaIgTyTvLSDkbP/zcEl76cCsdfi/OOBsfbj+M0aDDYTVRnDeE8QVDGV8wlHBERkVg0eSRqGeVN1jT2sWODg+HPT7mOGysaetkrtPKj7JTAVi/7P9r777j47rqhP9/7r3Tq7olWbItV1lucUvsOM0pjlMcpxBISCMPG1gCCwsLJIZls/vshvY8DxBgN4QfbEhgE4JJQjomidMcp7jHvchNVu/T273n98fIkmVJtsqMZmyf9+s1rxnN3HvuubrSzHdO+Z4PielRxnnHcuBPzxII+Tk+h6Mt0IHH7mTul/8e54Ty/qrXQ1Fo++NrAKhOO6ZcD8VjCtjzl9eYdstynCWnX6BxKKoq5jK5rIrn1j2Jx+5l+fmf6tXVs7XtCJeP6cnzvi8Y4YXGdlRVIWEIbijKZ2HOeJjTO/dQR1sDeykHZ+qDrFMxqSamllQytaTnb0cIQX1HHR9Wryce7lr8D1g4fTFe78CtCsGOCLlzMrfml9Vh5/978LZBbStiYRKxMIau93petVgZu/Szp92/teMwY8uyczHAVK67dPRINSXj0pu352TJMYfJ1pRT2b8/ddmOM0EGLCOkFk7FCL4N8TCYU5OjwaSqpHgtNCq8E6jwTiCaiPHOkb9SkVvJlLyB05kPlmHaTeMxLxWVl3V3tUzas4Z3Wz+kvSFKJJEgkOgZE7C4eBblgUb+WrudXR09qeq3+zpYMX7of44ubwFLln0nWRddp+2TV6h56xEUzULZJclkcrFjbUy6/g5cZWXUvfkmn7kkmUniyP59/SYs0+xjUEx2TKbeabqNRLzfsSknuuvai4DkGKRQNEYwHOX5tR/x/tY9lHQNdNV1gynjinHbe38LW17oZXlhTyD55XFF6Ce0F5+/dBY1Bxs4sG8nscmFLLr1Vjpqazm4bh1FiQSNNTW89rvfcvP3vtedQK4/ebclm/cNw8Dwh0i0+tDbOhlXXkbNSy9gtpp6rcl4vJm613Nd+jynKGhOF2aPB7PXg8Wbk7zl5HDb0vuoaz7C/6x9lMqxs1g4PZk8bltHM7sTZeRbohgCHJrKNyuKT/shst8XJpFQQMv825iiKJTmjqU0t6dbQTd01m1+E689h/NmnN//joJBDZ4eef1GXsZLf1tDfl4hkyomDGv/zlAT092p63ZJJUOkLj1AqLWTvCkzU1beyWKBCCb7uTk7KfP/6We6gqnJN+2WfVAytIXgTqUhEOXnG09cwv748r49NFXBYlKwmjTsJg27ScVh1nCYVaZ6neQdn+3SGeL1Qy2E48kBfgpzOFK/Hvt0D2X5xQghaPPXcbB+N3Wth1g0/XrG5JYMqp5Ot52Kit4zA75QefUAWyeVucbwd9N6f6tcOaijnZqqaRTMTeZ+qH//cWLhdiz2XKbedhu+I0eoXfsq4x2b+aRrNYXDu3fQGZ6J0pUz7tix9TQ0tFFYWIoS9tD0l+/hKlmMoqoE2powWawUTRzcG5GmqbgdNtwOG/5giM6Odr58a/+J3J7/4Hk2bdpEfnE+E8uSM1GOpzA3aSbMJjMem4fK8kqq5k5ifP1hatVxfPy735FbXMLcT396WN8QVVVF9boweV0wsRTngukUcPnpdzwFI5Eg7usk1tFBrLODSH09vr17SPj9GIkEe5u2YV0wA4Tgt7//JzrCbXjyJzO/4IQcIdEAf3r8ScyuBEIzgWoGLXmzaCpOTeA2wcdBB1N37+D//uwzBIo95E6dSYmzhMvLLz9t8sDRoKkaly5Yxgeb3qGprYGivJGPtRmOeMIY8RegaLCTHI+XJRcuGXYZgr7dx9nCEAaPbXuMtkgbX5v3NRzmkU1hT2fm4raaZnJLMv/3nQkyYBmpgqkoCGg9kNKA5fuXTTvl60II4rogmtAJJXRCcZ1g3EjeR3W+9fpuZnStZVPqtHJbZQlem/mE/cfx1id/Yf8xlYRh0NpxCId9DPnecYMOVrJZ/qwbaFj/36hdY2EUFKx5PsJ6GbaEDUVRKJ+6kESipwVj3LjriCeizJ51PWF/M05PEXo8SiISwOLKO2Wrxal8+3M38u+/eZZf/vFV/v5TV2M6IUX6+p3rsdqsLL98OYXeQqaN7bnusUSMSDxCMBbEF/KxZs1TXOKzsSbfTb7Tj9regSM/P6XN2SOlmkxY8/Kx5vWfpOzQml9x3dL7AFhYdSnvvvUk+2q2cM0tyYHYzXtepnb9T6hWVErHzSDHbCcXKNEEhSSoCYd5LxBkHg6qaGRiWYCWKddQMn0+pRNn8ZUNz/DS5hcocVcwzu5gv6+W/Mhh7PE5OK0m6GeBBAUFk2rGabXitdrx2Gx4bXZy7A5y7A6cFjPaCD7xF827hNfW/YVrL75p2GWMxKGWIGNzR/YB/Mm2TcydO0Ar0WBlcd69+8+7H4A/7PoDwXhwxAFLOnU2tzFx8eimG8gWMmAZKbMj2e6RGFy6/FRRlGTrisWk4qZvv+WSslwsp2hqVhSFy+fcxEd73iAQ9rFs4efIGyD3xWlqMox90s/iyWfcFf/U67loNEDTJ28wb96NfbY3DINo1IfV6kZVNVw5yW/DJqsdk7V3V98LH7yAZtKwW+y47W7On5p8I/eFfdjNdsymvtfje393C0//7UOe+tt67r422SLlD/mp7azl1gv7X9LeYrJgMVnw2D14bV7eUw22de5jyeIb2bPxY2YsuoBxx1ciPkPEE1Fqj+zEbLZiNlvxh9r5X7f/uPv1wsrrKfTV07zv37lk5Yu0hTppC7Wxo7WOw+2HMeWaqCyuZFvLQXz+Jmbe+q/ML6jgmy+8wsSGVrwBO7WhKJUlHkJ6gutKZ3L0WD6fXXgRjgFm9BjCIJKI4IuG6AiH6IyEaQg2s781gi8aJRo36BlqlHzQ39IZoCAQfabuCuBYqx/fKxvId+Rjt5qwWU3YbRoNHQ00dthwWl3YLY60zObY2+hjatHpVyE+lXA0gd2RvR/iqXLzlJv5w64/8IU5/c9oywa6rp92rMrZSgYsI6WZk+nU4+FM16SXUwUrAE0dx9i0/11mVVxCWcHAOT/OJmaznQFytqGqKnZ7zqDKicQj3LjwRkLREA3tDaxetxpd10noCYQQ3HXFXf3ud/sJ6/34Qj5e/fhVbr745n63PZnD6uDeFV/kid/8K+H33yPXkX/GBSsAi8+/mdravcRjERKJKMW55agnvfkaLQdRbF6sFgclFgclOSXMKE0uIPr7LWvZ2tbO/vYOzKqLP1fvgupdxBI6emQsnxwI43CqiNYwY2w2BDFqOgIDBisAqqLiMDtwmB0Uj+xz/bQSCYNIOE44HCcc0QnnbqO2RSESDxKLhxEcH0vR3xeBvs91tCQQat9B1iZNwWG14LBZ2LSvgwpPOTWNOg6bBZfdisVsGlLLnBHxYRrhWJv2RGZnCBmGwZrvfg5LfgEVV97IxPMu6bONw+wgakQ52nmUcd7RHTibbrFY7IwPdGTAMlKKgrC6qXv5P7BWb8ZmNWO1WDCZLWCyg8kKJlvy3mzveXzia2Zb/89r5tSuCQ/EEgne2/4yVouH5QtuH1F3gmEkYBCpzbOFqmp0drawbt0TXHTRPcMuZ1bFLDZXb2bxtMXkOnOZXtaTp+XNbW/y3PrnMGkmLppxEXmuPHRDR1VUhBBsObQlGay88ip3f/ZuLNrgB89pqsaMwrFccNPfD7vumZZbWE5u4alnMTUc3UNRP0kHAXzRIF9etKLvCxck74SAr15xDcFolPZIkPZQkE/NyhlhrVPHZFJxua243FaEEFR3lDJv8vBnzqz/4FEuXHxjn+ej8QSBcJRAOMqNTieBSJymzhChaJxQNE5CH3iQ6XbfJ5SfdI3iMT+mDb8A+s/i2t3KJEDTzFhNDqwWJx6LmXybF9XsQjMitIfqsZldWDVn2leoPtknbz6Dy+Ymd/4SEtGBv2DmWHPwWIc3Q7Ojsw27Y3iLTKZbMBjE5UpzRJ5mMmBJgUUXXsax6iLa2v1EEwbRuEE8kQA9jmLEEHoc9BgY+ukLO4FQVDBZUTQrwmTDabeS67SQ67ST43Gj2b3JoEY19dz3emwGVQPNTFQINjQdJWxEuLBsDk6bE+o2n7CdKTnbQj2xPK3vzyeIRGqwWTMzkHC47HYHkUiESMSHzdbzpqTrcfz+Jp55/ScUl/f95gU9b8oKCtU11Sye1reF44qu1bgjsQjv7HiHYCRILBHDarZiGAbTx03HZXUxfsZ4Zo1L3crCZ5MjzUeZPsCsmtZwJ/ta6picV3zKDzyn1YrTaqXMO5xuztHR5m/DaR1ZeoHx4+dTXf0WkyYt7fW81WzCajaR73EyfgizpuOJOLZt1dw8/7KTXjn554El4hFiUR+xeJC3Dj7B1aVXkYi0Mm7sLHY1vkckESKWiPRaFkHp6k47/ngg5n3H8Ijy/rcVyZvJasNsd2JxurA4XFjtbqwOD6G2Ji5+6D8B2PTXJzmw+S0mz1va5xiheIgcW86gz/dEtTVHKC3PzpaZQCBAQcGZPVh3SAHLo48+yqOPPsrhw4cBmDFjBv/yL//CNdckp0lWV1fzzW9+k3Xr1hGNRlm+fDm/+MUvGDNm4P8YXdf513/9V/7whz/Q0NBAaWkpn/vc5/jnf/7nrBpMeCr2y7/FlMFMrtAToEchHoHE8VsUEuGu+66f4+Ge52MhiIcRUT+hoI82X4i69gC7atvQYyEUQwcjAUJPBkSGDsLoNadILwuiWBJMCLThMSJEtkNkWGeqnBC8mOl0q6jCRGv8X7tncqiKBVXtutdsqKoFVbUlH2tWVM2OolmTrUia5YSbeXiPVdMJrVBd9yf/3ahasuVKMzNx4kI6OurYsuUlrFYH3WMSVA2nI4fJU4o5v3IJbttp/rFP86XYZrFx9byBZ0tNKzv1oOpzlhCEXG38SNnBwk9+zM2zv93r5ZWVF/H0J2v5zKzLqCzs3ZX56vZ6PPYz5ztYTUs1ZYXDW8z0uLGl57N165MpqhHUtddR5BpZHh6T2YbJbMMB2BzFOEqSM4tmpKJ+B/+L0uu+OODruqETi4aIBH1EQz6iQT8BXwvtDYcpmNRTg1kX38LGH/4LDb/8FY2fuhy9sCdXjs/n44UPXxjwGKqiYrfZcdqcuG1u3A43HrsHj8NDxBcgZ8bwVsUeDCHEsMcuR6NRbLb0Z1VOpyH9d5eVlfHDH/6QKVOmIITgiSeeYOXKlWzZsoUJEyawbNky5syZw9q1awH43ve+x4oVK/jwww8H/Db0ox/9iEcffZQnnniCGTNmsHHjRu699168Xi9f/epXR36G2UTrasWwDL3JUAGcXbfTpAVLtosbyRYejETPTY+DEU8GNd2vnfhz13N6ouc1vev144/1eDLoSkTJ734cAz2GoYcRXfeGEcXQoxixIAkRwzC6bqLrOHoCYcR7Ai4jDinMhdA/FVUzk6dZyNMsYLKAakFTLaiaHVW1MVa18t6Rv7DYqMJucmI2O1DMtp6uuu5uvRO78mxdz3d16Z34vMmW0jwhSmR0B3ePulArfzVfgt9eTs7BCwlGG1AsGrFAhESZjTnjJ7Cz6TAd4b7jIZr9UbR+vuS8vK2O6+ekLxvuUDS1HyLfMx5NU2kPNDJ7woIRl6mqqRuXUNNeQ1nemTumTVM17HY3drsb6J3zJer3I4Rg/zPPIGJx5n7rIeyeoXf9JPQE/rAfX9hHIBSgvq2eA5EDhKIhbEcFyoXp+6Kt+2OoIwjKz5RGgIEM6cxXrOjdd/zwww/z6KOP8uGHH1JbW8vhw4fZsmULnq4/gieeeILc3FzWrl3LlVde2W+Z69evZ+XKlVx3XXIxtgkTJvD000/z8ccfD+d8JEi2MHTlrRhNx0PSYc9zOB446bET7k9+HOv9vJHo2b9X/vETHuvxE1qwIr1asEQ8jJ4IYughDD2MngizIGTlYGgfMT1K/IRjK3ocoUfBSKDQd5bmic/1Sq6maKBZUDQzwmQF1YxVs2I1Wbvu7cmb2YnN4sBidmGyOJNBkNnRfR+I6ZgjjXBkfVeQ5DhpG3ufbrszTtshprVtZczYT1FVUsVf921nR8NBtnTuZF7sPIqbcvn8/OX8v/efozUU4LrKnjTjy2eO4bXtvVdOP9IaZMPhNj4+3MZdi8YzZUwqF9EYui0H3iZuKMyfugwQoz6O43Sa/E2cXzHC6ctZ6NBLLxH1+VBQSMSizLj33mGXZdJM5LpyyXX1zWBcHdwxkmqeVl31MUoqsjP53mgYdqim6zqrV68mGAyyePFiqqurURQFq7Une6fNZkNVVdatWzdgwHLhhRfy61//mn379jF16lS2bdvGunXr+MlPfnLK40ejUaLRnm+bPp9vuKciZQtVS97Mo9dsqdD3n8AJnLJDyND7CYCOP470dPGd2LV3QjegiIeJxUNEu24RPUwo5qct1EQsESGiRzD0WNe+0WTAhCAeV6g6Igh8+JuB66aaky1Hmq3r3opitaLabCh2B6rD0XXvRHW6UGyuPoFRd/DT5zlHT6tRuj5o2w8zPtjKVVMupSGuU6t08IFvI1NypyCEwke1n+CPRojpIQpbPwF6AhavzUw0ofOLtcn04woQiul8eelkHn27mp++vo+xuXbiuuCfr52OqZ8V0A/UNtPcEcTtsOB12slx2nDYLN3TjZ95exv6SQvzVIzJZXHVwCtQn8jtLGP/kZd4e3MNCT0As28Y3u/pBIqisH37H9H1GOedd/eIykoYCSzm1GRRDcYCp129Od0S0Sj7fv97CpcsoWL69NPvkOXC/gAledk5RmY0DDlg2b59O4sXLyYSieByuXj++eepqqqisLAQp9PJAw88wPe//32EEDz44IPouk59ff2A5T344IP4fD4qKyvRNA1d13n44Ye54447BtwH4Ac/+AH/9m//NtTqS9LIqRpYHMnbMCiAtes2KEJ0BUDJ8UzJW2iA+77PiUgQIxTACIcRoQ70tnoSkTBGJIqIRXt16w2aZukah5Qci6RYrCg2O6rdhmp3oDgcqHYnitOFYnOiWJzJQPR0AVHDJ/w1r5ydm94k1+7m7xdexxcWXMMDr/+aImcOLeFmbp1xCePcHlj3s15VsllMfPHS/seEPHRDz/iFX67d32+wAvDujiMsqRqHPxSlsaOVQCRGqGshSyHAbTezYlFP0q661k52HG7st6z+XFh1FROKp7Lj0EeEI02D3u9UZs1KrgV09OhH1NZuYOzYhSkpd6SaA0cocKRuUL5hDL3LeP9TTzH59tuxOLNz5s5QGQhUsqtVbjQNOWCZNm0aW7dupbOzkz//+c/cc889vPPOO1RVVbF69Wq+9KUv8fOf/xxVVbn99tuZN2/eKZs9//SnP/E///M/PPXUU8yYMYOtW7fyj//4j5SWlnLPPQNPPV21ahXf+MY3un/2+XyUl592dIcknXkUpevDfnjfVhWS3XSn7SwyjK7WoFMFRJF+X0sGRUFEV2CktzaSCEcwwpFkUHS8pSgRSQ4QH6gKApaXX8tVS3pnhX3k2q/03fiyB4b6qwB6uu06QlF++cJ6JhbnoigKQoDDamZa+eAHne6vbWFK6dAGWZbmjac0bzxvbRt4YOdwjBt3AZu3/DZ7ApbgMcrcqXtPjrXXYs4Z2oBg1WYbtWAlEghjsqa3G17oRspWfD4TDTlgsVgsTJ48GYD58+ezYcMGHnnkER577DGWLVtGdXU1LS0tmEwmcnJyKC4uZuLEiQOW961vfYsHH3yQ225LfkuYNWsWR44c4Qc/+MEpAxar1dqr+0mSpBFS1eSA8GEOCh/026ieGDAwauoMUWpN7xcPl9XEL9fup761kzsumELVxOEPMq1rC7CkakLqKjdCxWMWcfDQWiZWDG9NqFNNKR6q9kgDc4pTtzpzuG4vtpLBz6qq37SZnGmjNxuv/Wgz3vL0zRAaiUQikXXjpYZjxNMXkinNe89cOD7Xe+3atTQ1NXHDDQP304ZCob6r5WrasJr/JEk6A2gm0Nxg7TsA9tjRdiYVpje51b1LKgD4y3tbmVw2hCQl/RBC9FobarASiTiKkvop2KWlM9ixYwc1NRspLx/6DKThT5rtS0+EMZuGl4CtP9GGI7gvGnwA1LF9O9M/N/wEkUMVavIxZlp6Z1gN9+r4fL7uyTBnsiGFXKtWreLdd9/l8OHDbN++nVWrVvH22293jzd5/PHH+fDDD6muruYPf/gDt956K1//+teZdkKUe8UVV/DLX/6y++cVK1bw8MMP88orr3D48GGef/55fvKTn3DTTZlZKEySpMzxheN47aMzu83QE1gsmUlVXtdeQ743PVOtZ878DLoeZt++V9JS/lCkchqtEYtisg8umA03NGApGlk+mSEToI5w+YJ06ezsxOsdWZLCbDCkEL+pqYm7776b+vp6vF4vs2fPZs2aNVx11VUA7N27l1WrVtHW1saECRP47ne/y9e//vVeZRzvMjruF7/4Bd/73ve4//77aWpqorS0lC9+8Yv8y7/8SwpOT5Kkc1ksYWAZYICtVYONew6zoHLCsMsXw/zKW9dyiMpxI8/BMpAJEy7m0KF32br1SUpKLmTMmMlpO9bAMpPzIxGNcmD1aiq/OHCCuXPN2bJg4pAClt/+9renfP2HP/whP/zhD0+5zfEsuce53W5+9rOf8bOf/WwoVZEkSTqlI61BfvzXPcncKwJml3u5bGphdxf0hXOm8eHuoyM6xnAbEMLxEDnO9H7jrai4BCEu5vDht9i0+S1mzfwMFsvA3QJxPc62pm2IjwWaonHJ1Eso8o6klSJ13UtDsf/pPzLtf/0vzJbUTM/OFmK40fFZ5MzJYy1JkgR0hGJ87y87mFbsTkYMx9/IT3wMHG0N8c1l06godCGE4MODrfx87QEAzJrKRI+grDBnhLUZZsQySh8+iqJQUXE5paVL2PbJE0ybeg0eT/+Dms2amYevexhIrim0ZucafGEfFpOFq6ZfhTfNAVaqqDbrWTON+USh9gB29/BSKZwtZMAiSdIZZVtNB3dcMJ5FkwY/I0NRFBZPKmDxpOSEgHBMZ/XHh2hqa2DboSYKvQ6WzpmExTz4t8RWX5D99e28ueUAXocVj9OG12nD67Rjs2TXW6vVamXB/PvYtu2P5OZOYPz4vgt3nshsMnP9nOsBCMfCrNmxhlgiBkr/M4kMYWAIA03RUDUVs2omZIx+Ms9weweKNvrTfvWEnva0961HmsgfN8rjcrJMdv1XSZJ0zhpsk/eeBj93LhpcZtmB2C0ad1/UM67jWHMHz76/k45ghC9dd8Ggysj3OPnHGy7AF4rgC0Vo6QxysL4NfzhKXO9aOhilq+Gn97m1+2tBeTnZ0qIACEyaDYvJiUKMMTkl5HtKcFjdKZuOqigK5513O0eOrmfLlieYM+dO1EEs5WC32Llx3o2DOoYQAsMwiMQi7N7dOcIaD00sGOTAU/9DVQbGrnTWtuIsTu8snECnj/LzBk4Rci6QAYskSVmhNRijwHX63Epx3cBpTe1bV1lhDrdflsNTb20d0n5elx2vyz7k4z39tsLS2XO6fzYMg2g8QjgWQGCmrq2e2tZNRBNBmtr2c/NF/4DZlJpBk+PHXYjP14iuB1HV1H7IKoqCpmk47c6UpfgHMIzoaaeB73vySab/3d+hmUb/Y81/rI3i8yak9RiGYQyrFedsShEiAxZJkrLCgaYA0waxOOGZPvTQMIw+Q1hUVcVudWC3Jsco5LtzgeQSAL5QG+/vWsNls69PWR2EEcFkyuxCkEMR7jyK1TVwzpyja9dScvnlmDKUTDQRS2B1pm/dpKYDtcNuaQsEArhc6c1tNFpkwCJJUlaobQ+z4XBbr+dO/GA//uVy+7HR7WpItdqWTopzBz8o1OPIw+scwxubn2Vx1XKcttQMKE33mItUDCwWQtCy9mmiHXWMuerzA24XaWgg0txC69ZtHA9pjx890d7O9C984YzM9NpR18LuD7ZTUFJI5SVzTr9Df2V0dFA02jlp0kQGLJIkZYUCt5Vb5qc3U+iptHYGcNvT/w1937HmIa1XBDB30kKi8dms3/VXBIIlVddgNWfv0iSRiB+zeeQzWmr//H/IuXgFhcWfPeV2Uz878Ot7//jHMzJYAag/cIzzb7hkROsHRaNRbLbMrpqdKjJgkSQpK2Q6z8SWA7XMm5ye7LMnauwMsfS8oY8dsZqtLJ2zklA0xLodL2MyWbmo6hq0NM6KMWIJ1GHMeAoEGrHbC0d07Ma3fk/OomtxFU8fdhktu3cT9/lHVI9UEULQWdNK3cFjGCI5rkQFUAYOpprrGtn3m70ALL1lGZ6i3FGoafaSAYskSRLQ2lyPq0RDTzjTPnBzJN/4HVYHV8y9hc5gB29ufY7CnDLmTjr1NOXheudPr1MyvpTKi4fWHREMNeF0Da8bouWTV4i0HyX+zieoe4KEWYdIxCn6h3845X6GrnPo1ddIBAPdzzlKSpj5hfuGVY+RMhIGjXuP0drUk9ndU5TD1ItmYsrAwOCzgfytSZKUFdI+puI0pilHSLQZNB5Yn2zt6WrxMTlzsI6dhcVdgNXhSkGLRmrO0+vMYdn8W9lds4u/bXqay2bfiMU89BlLO9duRlF76hQ7fAzd14lAJRoIEFYEMLSAJRRqoqhw1pDrAhBpP0LZpffDpT3PNf7oxzQ/+iiq1YrqcqO6nDjmzsVcUgIk0/Hv+e1/M+GWm3GNGdmClkMV7ghiUjXi4ShHtx8kHAwDyb/nokmlzKiam/G/7bOFDFgkScq4THcHAagWJ/kzL+/zfLijmWjtdkLHttAZDQ+6rkIIbIUV5FddcvIrKahtj+nlVYwvmsjabX9hUslMpoydedp9QnWd7GrbQiwSo2RyGWMmj+1+rennu1DHFNFoDjNe9eBvbWTtL35JyaRJTL/2mkHVqa2uDd33DOpJwZlBAkWYiB2OohsJzONUzCcFWeGWQ5w8kmnMA99O5ngJBtH9foyODtqe/D1jHvg2jRs20LJ1K1PuvgtrBmbD1NTU0NHRTHhTgvKZE3DmnDmzr840MmCRJCnjOkJxckZpleYBDfAl2J5TiD2nbyAzGHXvPglcQiwcpHP/ejSTGVMi9WvcOKw2li+4jc0HPubNrc9x2ayVA7YEJRJRSkQBxRUT0fLtmFzJ+hiGQct/PY2pKI+DB7cz5Y5b0Uwm4pEI8XAY77hxg66PiJcw8/z+g5v9T7+N1akR2tBE1c0rMFl7/z52bP7PfvdTFAXN5UJzuTAKC4k3NXH0//5fagNB5v/TN7BkaOpu9bFDTJg6AYfTSUSPoUUiWCyWrBjomw1fBFJJBiySJGXcsfYwZblD785IGcNApGF14UQkQO07T6JqGp4pi0kkEkyt2wRcmJLy3//gKP5QnB0H25ldkYuiFhCM2/l/ux+jrCCXkiIXkVgEm8WCAPLdRVR4i7F7xmCEEoR31JBz3SQAAm98iHvpIuwzJlHzbIgD69cTC4cJdPq44qv/kJIP4N2/fA1hUdDiZmzTcql9Zxvjly3stY13yhQ2/PT/YCTiXPCt7/QpI7xtG77X/krRt76JpbiY0liMA6tXA1B4wQXkTx7dlaktFgtOp5NQKERrayvhcJhEItFrmxMDh5O7h4QQ3c8d305RFKxWKzabDbvd3n1zOp1YrdZBX4twOIzdnsH/qxSTAYskSRnXFooxc2x6U5ufir+lBlPO2NNvOETjlt3f6+eIvx3VNfg1kE4lkTAIhRMsv2ISy684+dVZ7NrRyKFaH06nhSVzyzBpKsda69h64ANs7ZWISCeFGzZgKgzjmD0Fy4RyWn/3J8Z+/59wW0xEw0HsZg1DhQ1P/h5/exuX/cM/oGkaiqIghCAeT9De3MmYsQX91nH/n97B4k5+YArAOi4Hz7gxFHSlmD/82sd99im/Yhljl17Jzt/9tt8yW//7cUp/+pPuD22TxULlHXdgGAZ1777H7g8+wFVeTvlllw35dxpuaaHxo4+I+vyEao8x95vfPO0+JpOJcUNofRoMXdcJh8OEQiHC4TDBYJCWlhYikQjxeLxXkAP9Bz2QnNI8duxYIpFIr9dUVcVsNmM2m7FYLL0ep3PW2UjJgEWSpKyQyYGJDYd2UVa5JO3Haa07SO6YCSkpKxiI0dge5vlX9nLTddP6vF41cwxVM8fgaw/zxluHMAzB/DnFLJ57I6qiEDMM1u4/jGPt+7Q98Ufsc+ZQ+vA3iIdCtNUcZcH9yVk5z7/xJp1Haxg3/3xe2LEn2RolBC0fNXHe9CIa6hopG1dM1bypOE7K9mpx2xl/zflDOq/G2mPUvv0mU666msD7O4g3tKPlOrFVlmPKzyH3zjtoffRXiGgU95VXYp+dHNyrqipllyVH6jbt3Mnu3/0OVI2pt30GzWJJdnnt3k379u3dx1IUFRBdg6zB7PVSdMEFuAoK2Pv0HwdV33T83WqahsvlSluGWsMwiMfjxGIx4vE44XCYzs5O4vH4gKn8I5EI48aNw+PJ3BcLGbBIknTOC4eCeL3pfyPuaKph0gBjO4bKm2Pjzltm8Pqb1afczpNr55qrJmMYBps21fOHl/dy1B9hxewSlnzqAnIKLucXB+tRd1dz25MvYp48HovNyo7Hf4MjL4/Lp89g/csvMuvmmynM6fkdNU+JsG57EzfdMYegL8x7f/sYq9WK3WWlpSG5UnOk1U88GME8QNr6/j7q17/xOgWmXPzv7cczqRjvTUsIb9xD2x/fRwSrMRU4QFVJtLdjhIL9lls0YwZFM2ZQ/eKLHPjjH6FrXSPv5ElMufVW1MG0IgwyDjkTx4moqorVasU6hKUMjh49isWS+vFXQyEDFkmSMm5dzYfsak828Se7G8CsaXhtTnJtLnLtLvIdHvIdLlwW+xk7TVRPJLBlaL0bVVVZuHAsCxf27fr6h4klMDE5RTi4YQdjTcVoHjfmC6bTuH0bi758Px89s5rlX+xJj1/osVFW6OCRZ3Zw74ppXH3TJRiGIBHTKc7PZde6nRTNm8TB597HkuNAaAoTr13U67jR1gDVf3mfCddegGYx0VR7jLzCAqZOnouvrZPSC2YAYF9QSedrW7DPSrbW6G0Bxvzz59Gspx6oPemGG0b0Ozud4S5IeCbKhoy5MmCRJCnjLq3M5aKxF/V6LhyL0x4O0BLy0x72U9N5iI5wgHAiklxYSAi6vwYr9Kxd0/0afbYzawpuq40cm5s8u4s8h5t8hxvDiI3KeabK//x5J0V5ybEhDsfAH9qRjgaCTYdwlIxHMcwoQsPsyekzaLPm7RrGXjIWVVVxLpyJc+FM4i3t+Ne8j1dA0+GtFM9f0Kf8hVMLaPFF2dvoZ2FFHqqqYLGZaDrUgIjEmbZoGgVVE+isbSBQ3dRn/6l3Xk7Nm5sx4gk0i4mdWzZRNWc+TXsamHVV8ngtxwL4msNMfOiO7v3an31vWBl4h0LE4+x75k/Hf+q6VxAIFBQS4RCRaJQx552X1npIPWTAIklSxin9tL/bLWbsllxKvalJRy6EIBLX6YiEaQ36aYv42VHfQGf0AAVqPcGPf3m8MgMU0KvCPc9pZhSzHYctB4ctF4c9D4e9AIfNi1Wz9voG7o/GU3IuRXl2rrp84mm3a960jvwZS4jWtGAocYSikzgQ7PX7FkIQ7PBw5JU49hIHxQuKATAX5JJ3R3KFaGtHgP1HA3y44RjNRwLopU6KvVYWTM3noqpC/r9ndrOwIq/nuEebGeNTOfrXjfjbo4Q6Y1Td3hOQBj/eSXDjQayTxqDYbRxbu5XcBROJRaNEmyOUz06em2EIAm0RbG4zBzY1MXG6h/bV7yLietpbNirvuuu02+z7298onzo1rfWQesiARZKkjArEAjjNqVmB+FQURcFuMWG3uCnxnJzc69J+9zktISARRY/5CYdaCYXbCLUfpqF+C6F4kKjRFaB0BTvbO+pofWVwmVhFxIwjp/R45bFZNOw2MwKBxzW4sQTFi66mfe9WjEiM4gv7TCUCoKO5FZv7EBMqJ9JxsIMH/raL8S4bE509XVdK1ymoKhDWWVCZTyih88JHx0jEDBwuc6+ZKtfefz1tu1sRQPvRAHmVVqKhBHRNkAp/cpiCv1tO+x/fwemKYiR0Nj71Eld89W72rdtB6cwJADRUdyKA957ZR3llHmPtISzji1AXZkeQEA0Gseee2+v7jCYZsEiSlFF1wTpKXelfdDAtFAXMNjSzDZezkNPN6aiPPM4NlwwuCd3el99m2hXJHCl6wiAaTRAKxQmFE5QUD3wk39s1YPQ0B9kYT7Dt4IDbN9c0UTQh2TqSMzGHH03M4e19zRw90smnLh6Pw9bT5RSL6dSPz+VIfYBjTUFmTMplSomb/XV9FxjUgwlMRQ7mXT2+z2uKxUx45yHy774SgN2vvML8Ty/DZDajGwamru4exQStsRhllydbfbb6BNGOCHtff4cv3piawcvSmUMGLJIkZVRLqIXJOaOb7CsThjqb5MQuD82kYjUUtjy9Gs+YIkqvvwJhVvG/ewxzkQP79BNyuxgCz+W984JENh7qVY8Ty84Z46H5WAPenh4dLptayPY1NWyyHuOY6kO1GXxmwVw+OnSQfa1t2M0mcMEbbx1h+p0XMXN8Dr5wnL+8e4Qcb7JlxtkYxiniOPwhZs/oaVWKbd2EGm5A3beB0MZmauIJ3HNvJbe8/HgFqTnYxNGGCKpZpXiMi3FlHvbUN7Cttp5onoG6cT9H/hJi/I23nPb3GA/4OfqX5zGCQcLHjpF/6WWMvfKqQV2D0zpHBtzqup4VmXtlwCJJUkYZGKhK5t8M060t0obXNLip03o0Tv3OPWgWM2PPn43F7eDQ2x8z+fKLiPmDHP5gIx37axlTPAl3IBdrhRf/e7VYyt0Io29gFGvx0b53C3G/DyMSRz2x1aQthrD37dZwT85l1iUV7F79FoEFFTy1YRMx3eDeRQu7P7yO2A9Tu+co42ZMpLEjTNXkXBZMyieQSPCDgw0UWEwU7dmC0Roj6piPQKDFcvAUOpl64yrqtr6B4bfQ0Gpl3+/eImEIVKsFvdhg8aKyXh+SNgWKvB6uPH8KXHIhHXt2U/3E46f9Xcaampj0xS+xa9UDxOZfRWBfEwcbXu2znaIpmEwqqknF5LBh9jgxe91Y8zyY3C4Uh+OcmRF0ss7OTnJycjJdDRRxJk4i74fP58Pr9dLZ2ZnRxDaSJA3Nutp1fWYInY02HP4Ab8TK1Mp5g95nz0tvcWzbdspnzUJPJKi88QpULfkhXrNmCx1NdRhNMbzmQkpumoOI6aAq2Cq8vcrRY2HiQT9C17EXlJz0ms7RNUdQowl0s4bmMCESAs9ED3nT8jj00geUXjoL1Wnnw4OHqOno7NnZEDjrY6y88UJe37GdDwJ7yfd6OBaJ4TKp5JhMtARr6Yh28tMl/8jmDc8S89Vh9ZRguMdyeO8xiozJuKePpWJCLl7bwDOe9tfV0xSOsGRSxaB/fyfb8NKHLFyxqN/XdN1AjxnEInHigTAJf5BYh594px8jFIJIpGf2GYCisNG/m/I5xVitNnpG+vQENaFwALvNQXFxJWPHzhhWnaOBdkQiisnqwmTPzHpJBw8eZNy4cZhM6WnjGOznt2xhkSRJGgX1TUeYOf26Ie1TuWIpk5ctQQiB2dY7f0v51XMpZy6H3v6YvIkTsJYPvEqwZrGjWfpfU0azaFSsmEjn75/DffnFqHmFvV4fd9k06t74gDdDMSrmTOCzC+f3ev2Z955h9+aXaW38hAvK7dg1K3NcZkyqFbPJgcmVz6tHWnhrXzX2wzson3IRLZEwEdXELStv7S5HCIE/EqEtGKQ9GKY9FKIzEiEUj6MA9YEgN8+qGtTvLdDRwbY3dmG2qifOSEZVB24h0TQVza5isZsg1w7kDbgtQCwaIrHHxNQ5p+9eOnLkYzZufLbr+ArxeJTzz//MoFpsdr35NAVlU6ir3kFh6Xh0PUEk6GPWtX932n1TRdf1tAUrQ5H5GkiSdE7rb0rz2SgeiWB3DxxUDOTk1YxPVLdxF5rZjGdc0UiqBoDVWUdi10eIlhqUnGJEPAaJMOLAOooW3sHFdZuZNLNvwFVQ5mZ6xbVMJzkF2jAMdCNGVA8RTQSJ6xEWq61MLirEffl9mBG88skB8gMWnt28rVdZzft2UznnPPIcDibl55HnduK02obcFVOz8yCVF84iv3Tov+/BammoJqfg9FPLAcaPP5/x43uWKGhpOcIHH/yBiRMvoLj41DOeXDmFlM+/ira6QwTam5m94ovsf2f1iOp+ppIBiyRJ0igQpL733VffSOWKpSkpS5swB33zi1hu/nZ3K4sR8KEsuwtF0/B91DfxGwCKCV2PoWkWIqFOtq3/AW7PlO6XBdC0vxFL8IPudWpmAKI51N2JcrwrZcH8eYyfMvIpy/62GNMWpXeqvK/9GJNnXjmsfQsKxpOffyeHDn3Ahg2foCigqAqxaJTFiz8LgB6PsefNp3DnJYPR6Utv5cD6F1NW/zORDFgkScqYYDyI3dR/V4V0eqkaBGq01CMOb0A97zoUd07386orOZ4gsHsThm6nxh9mU3OAne1BFo/xcHlZHhFfE7s2Po4QcTTFQUXVpykq7T1Op3xKO3anE81kGtJsk1gkyvpnP8DhOXVKeEVR0UwaqmZGM5vwNYW6x/qki2HomEynXhrgVBRFYeLEC5l4QiNNQ8MuNm78MwCTKs7HMBI485NjjiyuXKqW3UPU10ok0Im/vhqrpwCL09tf8WclGbBIkpQxdYEzOAfLEGVz15fe2oQwe1D87cTffxlUM6JxD8RCMKaSj5VC3tGmYdnbyLKxudw4sZDf763nXz4+SKR9Cj+++gIAtq//Pbvf2kp0roXyqpnd5XtOkVxt13s7CHQEun82mTTMNjMWh5VQZ4iyaaVMXnDqVhdD19HjcRLxGIl4jInnlZxy+2xVXFxFcXEVobp1bPvoYezx8/CUTOq1jcWVS2nlfIKtdRzbsR6zxYbNnUvZvOG19gxGtsyOkgGLJEkZ0xxqZqJ3cOMAzmSGyO5F8szT5sC0OckfhEDoMeBqSCRQbHYuB0JvHOD6BRO697lrWjIoeP6NZp55bT2+YBSXo4Lb77iIPe+/w7tP/Y7iSVPwFo1BURTMNju5xX2D05ZjrVywchFWhxVhCOLRONFQhEgwgtPronjy6YMPVdNQNQ1zhhfnS5XgkZeYWjYdPdGC2dF71kzcdwizsReHp5C8wvMIJew079+ctrpEo1HM5uG3JKWSDFgkScoYAwNN1TJdjbSrb6+h0Fl4+g2HINzpx+pwpLRMABQFxdQ1I6mry6O5LcyeIx1M3dvCW5tqmTjG1Z00Ldjh4s5PJafsPvPaegAql1xK5ZJLObZnJ52NjQhhcGTXe1isXizWHFRVA0XB1+kn4huDoScAK4qqYLFbsNgtuPOzPD1FGhOCFC7+EQAt2/4fQk+gaD0f1a17/ov8qq8QjzQRDBxgy44jWFweiv3tuN2pXyago6MjK3KwgAxYJEnKoGzuJkmlvTU7mDF2VkrL7DxSh7d8dLo+PE4Lt1wxCWHAbddOw5vT05Lx4qv7aG4KoBtRIvFE9/NBXwN1h17H5spBCCipHAdCRShxZi6+DYRg49pf0V53gP3bnDg8LibPPr+/w2cdIYxROY6j6ALadv0XIIhHmhEigc09BYunAounAmcRXDURYjE/Bw6sIxwOYRiCMWPKKS8/PyWten6/n8LC1AbbwyUDFkmSMiYdM2eyUVtnE0Wzy1Napr+uicKl/SdBSzWrVaNiQv/f3i+9cBwb3thJsNnPnV+4pPv5D174OfOW3UvemCm9tg92NrF57WNEgj5mLvk0OVcluwTbm+vY9NZfmXvpsn4H5sZjPlAEZnPmB5n6OupwOAe3iOVIOEouwlGSTKoY69hPe/VTOMYs7rOdxeKmqqpnbaVjx3ayadOzJ/weVVyuYkpLK3G5coZcj2xIyw8yYJEk6QyS0BNsbjvIfl8jbrODXKuLPIuLQpuLXIsTs5adb2kKSsrHsIiEjmbN7NgCPRil85EnqbxkDmWfuqzXa94xpX2CFQCnt4gFV97f5/ncwlIqFzjY8vbr2N0eNJNOPJJssdF1A81kQVMt6EYouYMAwxCoqmB81TTc3rEpP7+BtDcdJH9MalvMTseSM4Ux8x8a1LZlZTMoK+vJrGsYCfz+I9TUrCcYCqMqSlfSXsH48XPJz6/I6jFWx2Xnf7ckSRJQ7W/htWObEYBKcrZCVe5Eriydiy8eoiUa4GiojW3tR/HFg+iGgYLS3XJz8uP+CAQKCjaTnRyLk1yrk1yri3yrm3yLA7um9nkzDyZ0QoaBWVEwKQpa171JGWhGRepbkjLdNhXedYjgpgPUH1pH/jiNA4/vwJyXi+28yRSWz6Bg7FQ+ee8JErEI86744qDKdLpzmH/51UQjnQjDhNV++vV7EvEEh3Zs51BoL5pJY9LMBdic6c3BEgp2Mj5LxnUMhqqa8Hon4fX2nnGUSEQ4cmQzR45s7V7HUQiBEIKqqqU4HPlDXrQznWTAIklSRoTioX5zsOzzNSWDFGFQ6sjji1Mv77flZIzdxRRGnuEVkrN4grEwLbEAbdEAzeFm9nUcwhcPEzcEhjgh6FEEuhEn12JHFwJDgE5yG130Xm7meDAUD1sHOPKZQwhBvKaR0OZqjGgcc0kuBXddRcFdydT0hmFQ8/R/EqyL0XCkZ9ZKeeWFQz6W1Tb4bh+T2cSUuXMBiEXDHNy+kVgkjtVpYfKs89FMA2cKHr7Ut5hlgslkY9KkvtdH13V27HiVSCSEzTZh9Cs2ABmwSJKUEXWBOsa6eprx60Lt/P7AO4x3jeErlVeN6uwhVVFxW524rU4q3Kkfm/CX5vdSXuZoiDd14n9rM0rXOjKmAg/uq+ej2ftOH1ZVFUu+laIFN6GZMxOgWax2KhdcDECws5NdH69HUcDX1s6ci5fi9ORkpF5nGk3TmDNnBUIImlveznR1usmARZKkjGgKNVHhrSBh6Dy2dy2aqvLNmTegZckAv1QJR2NZsXDcUPnX7SbR0EDurZeiDPKaCD2RsWDlZE6vl1kXXgbA5rfWoGrpaGk5u8XjbdisBZmuRrcz779IkqSzgoHBmrodbG8/zOcmL2WMPcvzbgxTde0xxpWmdvqxYehp65IwYjodz6/HOimX3E8NcZ2iLO0mmXPJpezesB5NszNt/gVZM+sl24Ujx3DYx2W6Gt3kVZMkKSM+aK3HZbbxwKyVZ22wAnCkvp7JpaldfqDzUA3WWOqDg/D2atr/9Baeq2fjXDDz9DucLIsGaJ5I02zMuOAy/J3NBH3NIyorHg+jadmR+TXdEvEOTKacTFejm2xhkSQpI+aPvZpLsj2baQrEdB2HJbXdEa2bPsJjGUPbH9/GVlWGY/bkEZUnDEHH8+swFXrJvzN9a9Jkgp5IsGnt37A5bUybezHunJFlg21rPExO3oTUVC7rZdfgYhmwSJIkpVE6svkmEnHyb1qCZjYT3LCbttVvo6BgnVKKfeYkFNPgGs/1QBjFYqLjufU4L5qGtaw45XXNJH9HC7s//pg5F1+C1e5KSZkdrUeZWHlZSsrKftnVYiYDFkmSpDRKx1u+MAy0rgXpnAun41w4HSEE4U+q6XhxHQgFDANUFZRkkjnFpPVUSEneK2YVvS2IY/HUsy5YObRrM7FIlAVXLk/pmBVDj2O2ZsfA4nONDFgkSRp1CUNgyqKm5jNNf0GQoig45kzGMWdk3UPpZBgGLfW7CbQfwd/WyPEuByEMbI4comE/KCoKKprZjMlswWx1UD71EkxDnH3ka21jzsWp797Sjc6UlykNjgxYJEkadQ2xOGMynFZ+9IysjaXmrTcJ1Nb2ei4e8I2ozEw4uvcdGg/voGjCDHILK6mYcU33+AghBL62o7hzxwI6hmFg6HFikRD+thoO7VjDlLk3DPpYkXAQiy09rSAKCuFwDZrmQNOcqKo1q8Z5pEpygcfsOi8ZsEiSNOrqIjGqXH2z3J5tmjs78bjdIyrDX3uMqjvvSVGN0icR9qFaeyeUE0Kwf8vLBNprKa6Yx8Krv9zvvoqi4M0f3/WTCVUFTHYsVg9t9XsIdA5tZk9TzSGKxqVnOq7dugghEkSi9eiJEIYRGWDL431vp6dqdjTNjqY6kveaE02zo6qZC+qj0Uas1vQv8DgUMmCRJGnUBXUDl2n0Mtlmyv6aGiaPLRthKdn1LXcgkcZDWAqS52oYBvs2P0+wo4mJs69g6rwVwy5X1SzkFU8c0j7+jg5KKtLTNaapXhyO/JSVJ4SBYUTQ9RC6HiaR8BGNNqLrIYRIjLh8VbV2BUGOrpsdVXWgqpZTtgxFIrW4XJUjPn4qyYBFkqRRl11zD9Knqa2dRVVVma7GqGg/vJu2cDNhl5v6w1uYMvcavPkVIy43Hg8S7BhaC4swEpjNfZcPGHFdYjomc2rTlymK2h1MpJoQAsOI9gRDepBYrAVdD2EYsVPuG493kJOzIOV1GgkZsEiSNOrOlYBFIM6ZrKqhBp2JV95AU/0OFlx5f8rKHT9tKWte/BGffPwDctw5AFg1M1bVjM3swm52Yzd7cFi82M1e7BZv9wrdqeZvieDOT30glC6KoqBpNjTtzKnzqciARZKkUdcSS/B6QzvNR/1o/eQMMWsqbosJt82Ey6rhsZvx2Ey4raYzbK2hkXXnGIaRonqkn5FI4C4Yj7tg/Ok3HgJVM3H1ylX86cVfsHzlF1FQiOgRooko4bifcLyTcMxHm+8w4USASNzP/qMJrEUTKc4rwO11pGxQbKAjQlllXkrKkoZOBiySJI26z5Tk0XTEh3t6MXZ33yywkZiOLxzHF4njjyY43BzEH0kQ0g2MU6R/PyHFCHQ91hSFAoeFApeFA60hDAReWzIAynVYyHEkH1vSEAgJQx/R/sGaGuy5OTR/9CFtBw+g68fLExi6zsx7Pj/ySp4BVFXlyotu5W/rVrP84s9gN9mxm+zk2HKA8j7bzy/u4FhrPRurt9Hc2Mlnrr0mJfUQAlT1zBhTdDaSAYskSRkRCcQpHNf/DBqbRcNm0SjyjrwpO64bNPqiNPkiXDGlAJOq0BGM0xGO0dwe5kC9n2BCJ6YL+otZjgdBuq4TDO6naELf2U1m1YLbbMVlsuG22PGYHbgtDvTIQDNIBkfTVEJNTdjHljPxlk9jPiHF/64nHx9R2amW7m6+goJSQp3tg9o2z5NDnicHKuDtDzfw8ttv43W7cJgcNHa0IESyqy55r7D84ovTW3kpJWTAIklSRggYlfwVZk2lLNdOWW5PoGG3mihhcNOqDT3Bjg1/xmx1UnHBRdjsvdeiEUIQTYTxx4P4YyH8sQANwVb8sRDa4SY+euHtfss9uSXoxMe95E8m3hSlLbALm9OB1WnDrKroukIinsBkPnfexi22oQ9MvWzRQgAaW1sI6SHmzq5EVXoi043bdlLdcJhJxRNSVU0pTc6dv3RJkqRhqN61jorKpbhz+s9JoSgKNrMDm9lB4Qmfpy0NNUSu9FA2eRirHp/A0HVioSihQJBoIEIkFMLX6ceeN4lDL3yAoQt6t28cD3lO9dyJYVH/z6lqsoXHZDOj2SxoNgsmuwWz3YpiUzA77ZgcDjS7HVVVR2fy9QgOMia/oN/nZ0ybxOpX/kbovCizJk0b/gGktJMBiyRJUj9isTD7tr2K3Z43YLByKq11tYyrnD7ieqiahs3twOZO/bTXgQghMHRBIpYgEYqihyPEQ1H0cIxgR5hdH33CxIkW4pEIeiwGArzjUjvYtj9KGvqd7DYbd950PXsOHuKlN99C0RTOnzuTIm//AY6UOTJgkSRJOsmhPe8Q9Lcxbc71mC3DS/Eej0WwO7wprtnoUBQFzaSgmSxYHRag91ijY00dTFyxaNTrlTBGnkitP6qqUjV5ElWTJxGPJVi/dQsbwzsxhEBVVFQL5HtyKbWOTcvxpcGRAYskSaNOGCIr87eGAp3s3/4yZRMuoaLy0kxXJytFwzFM5sxkKZ4z/ULe/OA5rlh8c9qOYbaYuPT8hb2ei4bjrNv/IRNLZMCSSWdSQgNJks4SIV8Mhzc9i9MNVywaZt8nLzLrgtvIL+k7VVZKaq9vw1vkycixJ5RXEvANbqZQKlntZqz5CvlOmYMlk2TAIknSqPO1hPEUZE/2TV1PsHPjn5h5/mdQ1bN/jaORaK9vJW9sZsZ3tHY04nLmZOTYUubJgEWSpFEXj+pYbNnTI71780tUzbsFk6lvEjupt0B7EG9BTkaO7XJ4ae9oysixpcyTAYskSee0WCyMooDV7kpZmdFIFC3Fi+RlC2EYqBlaadtqsWGx2hGnyHYsnb2y5yuOJElSih3cvY5ouAPNpGK22jFbbVhtDjSTjaCvCX9HK8JQmTrn2pQet72xjtyiopSWKSVpijoqCQel7CMDFkmSRt1ofT+OhDqYVHUpimIjFokQCQeJhSKE42HcOZUUl+VitqT+bbC9qZ5Jc+akvNxscC7GClE9ilXLrkHi5yIZsEiSNOpG6zNv6pyr2bvlJWYsvBmLzYwrp/+1i1JN12NYLM5ROdZoy3RvTDQRJa7HMWvmUTtmXaCOEmfJqB1P6t+QOlkfffRRZs+ejcfjwePxsHjxYl577bXu16urq7npppsoLCzE4/Hw6U9/msbGxtOWW1tby5133kl+fj52u51Zs2axcePGoZ+NJElZT48bqKbRGd9hMplBUTH09CQcOxdFgkFCvk5ikTCGPrLVqIfjikU3s/ql/ySaGNnCkkPREGyg2Fk8aseT+jekFpaysjJ++MMfMmXKFIQQPPHEE6xcuZItW7YwYcIEli1bxpw5c1i7di0A3/ve91ixYgUffvgh6gBLt7e3t7NkyRKWLl3Ka6+9RmFhIfv37yc3N7ff7SVJOrP5WsN48kdvSrOiaqjaKDcmn8VjQnPGjMHf0kwiFiMRjyGGELQMtNhjf49VVUOzmDGZLZgsFkxmC5rFjMVi5drL7uSNt1dz3ZV3peKUTssQBiZVdkhk2pCuwIoVK3r9/PDDD/Poo4/y4YcfUltby+HDh9myZQseTzKp0BNPPEFubi5r167lyiuv7LfMH/3oR5SXl/P44z1LpVdUVAz1PCRJOkME2qKMnZYzasdTsjKn7pkrZ0wJYybmp/04hq6TiMdIxGLo8TiJWJRIIIAeayMRizFm7Hjer30/JcfSVA2bZsNusmM32bGZbNhMNuyaHZNqQpzNEegZZNgho67rrF69mmAwyOLFi6murkZRFKzWnoFJNpsNVVVZt27dgAHLiy++yNVXX82tt97KO++8w9ixY7n//vu57777Tnn8aDRKNBrt/tnn8w33VCRJGkWGEKja6E35lR81qSMMMWoDkFRNw6LZsdjs/b5elsJjxY040USUiB4hnAjTGe2kMdhIRI8Q1+MU2OVCiNlgyAHL9u3bWbx4MZFIBJfLxfPPP09VVRWFhYU4nU4eeOABvv/97yOE4MEHH0TXderr6wcs7+DBgzz66KN84xvf4Dvf+Q4bNmzgq1/9KhaLhXvuuWfA/X7wgx/wb//2b0OtviRJGXa2t3ck4vFRG6Mz2iKhODbn6A12HS1m1YzZYsZF6nLxSKk35P+qadOmsXXrVj766CO+9KUvcc8997Br1y4KCwtZvXo1L730Ei6XC6/XS0dHB/PmzRtw/AqAYRjMmzeP73//+8ydO5cvfOEL3HffffzqV786ZT1WrVpFZ2dn962mpmaopyJJ0jlgtAOkppqjFJScnTlYwr44drfMBixlxpBbWCwWC5MnTwZg/vz5bNiwgUceeYTHHnuMZcuWUV1dTUtLCyaTiZycHIqLi5k4ceKA5ZWUlFBVVdXruenTp/Pss8+esh5Wq7VX95MkSdLJouEAJvPorlnU1lTL9IWLRvWYoyXsj+EpzMzCh5I04mHPhmH0GksCUFCQ7O9bu3YtTU1N3HDDDQPuv2TJEvbu3dvruX379jF+/PiRVk2SpCwjxOgOX2xuOEBu4aRRPCIIoaNpZ2crRCJhYDLLxSGlzBhSwLJq1SquueYaxo0bh9/v56mnnuLtt99mzZo1ADz++ONMnz6dwsJCPvjgA772ta/x9a9/nWnTpnWXccUVV3DTTTfxla98BYCvf/3rXHjhhXz/+9/n05/+NB9//DG//vWv+fWvf53C05QkKRuE/XEcQ+xSCAU62L15NQ7X8cRdvSfCHg+Burt+FAWLxY3V7qap/hPmLLojBTWXJCnThhSwNDU1cffdd1NfX4/X62X27NmsWbOGq666CoC9e/eyatUq2tramDBhAt/97nf5+te/3quM411Gxy1cuJDnn3+eVatW8b//9/+moqKCn/3sZ9xxh3yTkaSzja8lTG6xY0j7NNXuZ8rM6/DklQ5qe13XiUb8RIN+yisuRBvlHCxyGrUkpYcizpJlL30+H16vl87Ozu48MJIkZZfD21uYMGtoU0R3bX6Z6XOvO2MWvNvxwdvMXHxZpquRFkd3tjJuRvpzsEjnlsF+fp+dc+8kSTorhAIdRMOtZ0ywEgkHMFnOzvErkpRpMtewJEmjRlUHH3iE/G3s376GOYtHJ/16KjTXHqGgdGymqyFJZyUZsEiSlDUObH+XWNwHAgwjzqxFnzllHqds09nSTGnFtNNvKEnSkMmARZKkrBGL+6iad32mqzFskaAY9UG+knSukP9ZkiSNCkM3UE7TJXRmjFQZmKpCZ3MIs9WE2aZhMqtnzPgbScp2MmCRJGlUhHwxHN6BB6QmEvppA5psVzJVQQgIdkSJR3USMb1XorzjGWSGe5aKoqCZVUwWFc2kJh+bk/eaKfk4XQtLGoaQwZeUUTJgkSRpVPjbouSXOgd8vbOlDpd3zCjWKPUsNoWc/KHlmRkKQzfQEwI9bpCIG+gJnWg4ge4zks8lDIQ+skwVPSn5eovHdNx5o7vMgSSdSAYskiSNio7GIPFIoquFQMNs0TBZVMxWDZNVo73lAGMr5mW6mllN1VRUDczW0U+Pf5ak7JLOYDJgkSRpVEy/sBQhuloHYgbxmE48qhMJxknEdBBOQpGthCLQ9/v9QN/7j7+moGp2TJoTTXOgmVyYNCeqahu1bgxdj6CqZ++CrLI7SMo0GbBIkjRqFEXBZNEwWTRsmE969fxhlyuEwDDCJBJBdD1ILNpIKBHEMCLHtzheg0E/VlUrmubEZHIlg6Cum6L037oRjdZjtRYP+xwkSTo1GbBIknTGUxSlO6CAwhGXlwyAYuh6IBkAxdrQjWPoiRBg0F8LUDzeSVHR1SM+tiRJ/ZMBiyRJ0kmSAZAVTbMCcu0cScoGZ04KSUmSJEmSzlkyYJEkSZIkKevJgEWSJEmSpKwnAxZJkiRJkrKeDFgkSZIkScp6MmCRJEmSJCnryYBFkiRJkqSsJwMWSZIkSZKyngxYJEmSJEnKejJgkSRJkiQp68mARZIkSZKkrCcDFkmSJEmSsp4MWCRJkiRJynoyYJEkSZIkKeuZMl2BVBFCAODz+TJcE0mSJEmSBuv45/bxz/GBnDUBi9/vB6C8vDzDNZEkSZIkaaj8fj9er3fA1xVxupDmDGEYBnV1dbjdbhRFyXR1UsLn81FeXk5NTQ0ejyfT1ZGQ1yTbyOuRfeQ1yT7Zfk2EEPj9fkpLS1HVgUeqnDUtLKqqUlZWlulqpIXH48nKP7Jzmbwm2UVej+wjr0n2yeZrcqqWlePkoFtJkiRJkrKeDFgkSZIkScp6MmDJYlarlYceegir1Zrpqkhd5DXJLvJ6ZB95TbLP2XJNzppBt5IkSZIknb1kC4skSZIkSVlPBiySJEmSJGU9GbBIkiRJkpT1ZMAiSZIkSVLWkwFLBu3bt4+VK1dSUFCAx+Phoosu4q233up+vbW1leXLl1NaWorVaqW8vJyvfOUrp1wv6fDhw3z+85+noqICu93OpEmTeOihh4jFYqNxSme8dFwTgLa2Nu644w48Hg85OTl8/vOfJxAIpPt0zgqnuybbtm3j9ttvp7y8HLvdzvTp03nkkUdGXK7Uv3RdD4BXXnmFCy64ALvdTm5uLjfeeGOazuLsks5rAhCNRjnvvPNQFIWtW7em4QwGRwYsGXT99deTSCRYu3YtmzZtYs6cOVx//fU0NDQAyey9K1eu5MUXX2Tfvn387ne/44033uDv//7vByxzz549GIbBY489xs6dO/npT3/Kr371K77zne+M1mmd0dJxTQDuuOMOdu7cyeuvv87LL7/Mu+++yxe+8IXROKUz3umuyaZNmygqKuIPf/gDO3fu5Lvf/S6rVq3il7/85YjKlfqXruvx7LPPctddd3Hvvfeybds23n//fT772c+Oximd8dJ1TY779re/TWlpaTpPYXCElBHNzc0CEO+++273cz6fTwDi9ddfH3C/Rx55RJSVlQ3pWD/+8Y9FRUXFsOt6rkjXNdm1a5cAxIYNG7qfe+2114SiKKK2tjY1lT9LDfea3H///WLp0qUpL/dcl67rEY/HxdixY8VvfvOblNb3XJCua3Lcq6++KiorK8XOnTsFILZs2ZKKag+LbGHJkPz8fKZNm8aTTz5JMBgkkUjw2GOPUVRUxPz58/vdp66ujueee45LL710SMfq7OwkLy8vFdU+q6XrmnzwwQfk5OSwYMGC7ueuvPJKVFXlo48+Svl5nE2Gc03g9H/zwy33XJeu67F582Zqa2tRVZW5c+dSUlLCNddcw44dO9JxGmeVdF0TgMbGRu677z5+//vf43A4Ul31octYqCSJmpoaMX/+fKEoitA0TZSUlIjNmzf32e62224TdrtdAGLFihUiHA4P+hj79+8XHo9H/PrXv05l1c9a6bgmDz/8sJg6dWqf5wsLC8V//dd/pbT+Z6PBXpPj3n//fWEymcSaNWtSWq6UlI7r8fTTTwtAjBs3Tvz5z38WGzduFLfffrvIz88Xra2t6TiNs0o6rolhGGL58uXi3//934UQQhw6dEi2sJxtHnzwQRRFOeVtz549CCH48pe/TFFREe+99x4ff/wxN954IytWrKC+vr5XmT/96U/ZvHkzL7zwAtXV1XzjG98YVF1qa2tZvnw5t956K/fdd186TveMkE3XREpKxzUB2LFjBytXruShhx5i2bJlAx5/qOWe7TJ9PQzDAOC73/0ut9xyC/Pnz+fxxx9HURRWr16dtvPOZpm+Jr/4xS/w+/2sWrUqnac5NBkLlc5STU1NYvfu3ae8RaNR8cYbbwhVVUVnZ2ev/SdPnix+8IMfDFj+e++9JwBRV1d3ynrU1taKKVOmiLvuukvoup6ScztTZfqa/Pa3vxU5OTm9novH40LTNPHcc8+N/ATPQOm4Jjt37hRFRUXiO9/5zmmPP9xrfbbK9PVYu3atAMR7773X6/nzzz9/UPufjTJ9TVauXClUVRWapnXfAKFpmrj77rtTeq6DZcpsuHT2KSwspLCw8LTbhUIhIDnr5ESqqnZ/2+jP8dei0eiA29TW1rJ06dLubyknH+Nck+lrsnjxYjo6Oti0aVN3n/LatWsxDIMLLrhgUOdwtkn1Ndm5cyeXX34599xzDw8//HDKyj1XZPp6zJ8/H6vVyt69e7nooosAiMfjHD58mPHjxw/lVM4amb4mP//5z/mP//iP7p/r6uq4+uqreeaZZzL3vpWRMEkSzc3NIj8/X9x8881i69atYu/eveKb3/ymMJvNYuvWrUIIIV555RXx3//932L79u3i0KFD4uWXXxbTp08XS5Ys6S7no48+EtOmTRPHjh0TQghx7NgxMXnyZHHFFVeIY8eOifr6+u6bdGrpuiZCCLF8+XIxd+5c8dFHH4l169aJKVOmiNtvv33Uz/FMM5hrsn37dlFYWCjuvPPOXn/vTU1N3eWcfE0GU67UV7quhxBCfO1rXxNjx44Va9asEXv27BGf//znRVFRkWhraxv18zyTpPOanCgbxrDIgCWDNmzYIJYtWyby8vKE2+0WixYtEq+++mr362vXrhWLFy8WXq9X2Gw2MWXKFPHAAw+I9vb27m3eeustAYhDhw4JIYR4/PHHBdDvTTq9dFwTIYRobW0Vt99+u3C5XMLj8Yh7771X+P3+UTyzM9fprslDDz3U79/7+PHju7fp75qcrlypf+m6HrFYTPzTP/2TKCoqEm63W1x55ZVix44do3hmZ650XZMTZUPAogghxOi05UiSJEmSJA3PuT24QZIkSZKkM4IMWCRJkiRJynoyYJEkSZIkKevJgEWSJEmSpKwnAxZJkiRJkrKeDFgkSZIkScp6MmCRJEmSJCnryYBFkiRJkqSsJwMWSZIkSZKyngxYJEmSJEnKejJgkSRJkiQp68mARZIkSZKkrPf/A6+J5H87DnB+AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "VRAno = 1\n",
    "print(\"Now draw a polygon that expands the VRA core to a smoother shape for VRA number\",VRAno)\n",
    "c, cList = 24, [24,20,22]\n",
    "mVpop, mVpop2, cityPop, mVAPt2 = 0., 0., 0., 0.45\n",
    "ptXs = [-82.78, -82.9, -83.01, -82.98, -82.8]  #iterate on these until they look good\n",
    "ptYs =  [40.01, 40.08, 40.16, 39.89, 39.86]\n",
    "pts = [Point(ptXs[i], ptYs[i]) for i in range(len(ptXs)) ]\n",
    "VRApoly = Polygon(pts)\n",
    "VRApop, VRAmPop = 0., 0.\n",
    "plotPoly(VRApoly)\n",
    "#plotPoly(cityBoundary)  #not needed for C-bus\n",
    "plotPoly(countyGeom[c])\n",
    "for c in cList:\n",
    "    #plotPoly(countyGeom[c],2)\n",
    "    #plotPoly(cityBoundary)\n",
    "    for t in countyTractList[c]:\n",
    "        if VRApoly.contains(tractCP[t]) : # or cityBoundary.contains(tractCP[t]) :\n",
    "            coreVgroups[VRAno].append(t)\n",
    "            coreVgroupPop[VRAno] += tractPop[t]\n",
    "            VRApop += tractPop[t]\n",
    "            VRAmPop += tractPop[t] * (1. - tractWhiteVAP[t] / tractVAP[t])\n",
    "        #if cityBoundary.contains(tractCP[t]):\n",
    "        #    cityPop += tractPop[t]\n",
    "        if VRApoly.contains(tractCP[t]):\n",
    "            if tractWhiteVAP[t] < (1. - mVAPt2)*tractVAP[t] :\n",
    "                plotCenter(\"B\",tractCP[t])\n",
    "                mVpop += tractPop[t]\n",
    "            else:\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "        else:\n",
    "            if tractWhiteVAP[t] < (1. - mVAPt2)*tractVAP[t] :\n",
    "                plotCenter(\".\",tractCP[t])\n",
    "                mVpop2 += tractPop[t]\n",
    "            else:\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "#print(\"pop/aDP of high minority within, outside city are\",r5(mVpop/aDP),r5(mVpop2/aDP))\n",
    "#print(\"city pop, pop/aDP are\",cityPop, r5(cityPop/aDP))\n",
    "print(\"VRAcore pop/aDP, pct minority are\",r5(VRApop/aDP), r5(VRAmPop/VRApop) )\n",
    "print(\"confirming, pop/aDP =\",r5(coreVgroupPop[VRAno]/aDP) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "05d2d0c6-3c5f-4a80-bd5f-ceac40b5e221",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now define envelopes for these two VRAs.  Start with Cleveland = VRAno 0\n",
      "For this VRA, since Cuyahoga has 1.608 CD pop, allow Lake County[42] to be in the envelope\n"
     ]
    }
   ],
   "source": [
    "cList, VRAno = [17, 42], 0\n",
    "print(\"now define envelopes for these two VRAs.  Start with Cleveland = VRAno\",VRAno)\n",
    "print(\"For this VRA, since Cuyahoga has\",r3(countyPop[cList[0]]/aDP),\"CD pop, allow Lake County[42] to be in the envelope\")\n",
    "\n",
    "coreVTDs = coreVgroups[VRAno].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "6f3f04b0-435b-4b3a-8203-a5d0c0db1331",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for v in coreVgroups[VRAno]:\n",
    "    plotPoly(tractGeom[v])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "6acd75e7-caed-409a-81ba-6560ba43cc83",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now define the envelope of nearby vtds that will include the core in their adjusted HD\n",
      "  Do this by expanding a circle from the centroid of the core until it captures sufficient pop\n",
      "final envelopePop/aDP, corePop/aDP are 0.27824 0.72121 for VRAno 0\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now define the envelope of nearby vtds that will include the core in their adjusted HD\")\n",
    "print(\"  Do this by expanding a circle from the centroid of the core until it captures sufficient pop\")\n",
    "envelopePop, R, toler = 0., 0.01 * VRApoly.area**0.5, 0.005*aDP\n",
    "coreCP = getHDcp([tractCP[v] for v in coreVgroups[VRAno]],[tractPop[v] for v in coreVgroups[VRAno]],\n",
    "                 [i for i in range(len(coreVgroups[VRAno]))] )\n",
    "dR = 2.*VRApoly.area**0.5\n",
    "corePop = coreVgroupPop[VRAno]\n",
    "targetPop = aDP - corePop\n",
    "availVTDs = list()\n",
    "for c in cList:\n",
    "    availVTDs += countyTractList[c]\n",
    "availVTDs = list(set(availVTDs).difference(set(coreVTDs)))\n",
    "while abs(targetPop - envelopePop ) > toler:\n",
    "    R += dR * np.sign(targetPop - envelopePop)\n",
    "    dR *= 0.5\n",
    "    envelopePop, envelopeVs = 0., list()\n",
    "    coreCircle = coreCP.buffer(R)\n",
    "    for v in availVTDs:\n",
    "        if coreCircle.contains(tractCP[v]):\n",
    "            envelopePop += tractPop[v]\n",
    "            envelopeVs.append(v)\n",
    "plotPoly(coreCircle)\n",
    "for v in envelopeVs:\n",
    "    plotPoly(tractGeom[v])\n",
    "for v in coreVTDs:\n",
    "    plotPoly(tractGeom[v],0.2)\n",
    "print(\"final envelopePop/aDP, corePop/aDP are\",r5(envelopePop/aDP), r5(corePop/aDP),\"for VRAno\",VRAno)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "4e8b1f83-75cd-4453-bc4f-59d21d682e48",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we define HD vtdLists for VTDs in the core and the envelope for VRAno 0\n",
      "For core, we grow a circle from HD center\n",
      "For envelope, we pick up all tracts that intersect the line from HDcP to core center, ...\n",
      "...then we grow the district from the midpoint on the line from HDcP to the closest point on the core\n",
      "working on HD 3773 our 0th out of 634 that will contain the VRA core, time = 0\n",
      "working on HD 3848 our 50th out of 634 that will contain the VRA core, time = 37\n",
      "working on HD 3900 our 100th out of 634 that will contain the VRA core, time = 70\n",
      "working on HD 4020 our 150th out of 634 that will contain the VRA core, time = 108\n",
      "working on HD 4201 our 200th out of 634 that will contain the VRA core, time = 144\n",
      "working on HD 4312 our 250th out of 634 that will contain the VRA core, time = 179\n",
      "working on HD 4397 our 300th out of 634 that will contain the VRA core, time = 212\n",
      "working on HD 4638 our 350th out of 634 that will contain the VRA core, time = 245\n",
      "working on HD 4906 our 400th out of 634 that will contain the VRA core, time = 279\n",
      "working on HD 5125 our 450th out of 634 that will contain the VRA core, time = 316\n",
      "working on HD 4204 our 500th out of 634 that will contain the VRA core, time = 350\n",
      "working on HD 4566 our 550th out of 634 that will contain the VRA core, time = 386\n",
      "working on HD 3813 our 600th out of 634 that will contain the VRA core, time = 423\n"
     ]
    }
   ],
   "source": [
    "hdCP= [tractCP[t] for t in range(nHDs)]\n",
    "print(\"Now we define HD vtdLists for VTDs in the core and the envelope for VRAno\",VRAno)\n",
    "print(\"For core, we grow a circle from HD center\")\n",
    "print(\"For envelope, we pick up all tracts that intersect the line from HDcP to core center, ...\")\n",
    "print(\"...then we grow the district from the midpoint on the line from HDcP to the closest point on the core\")\n",
    "coreTractPoly = tractGeom[coreVTDs[0]]\n",
    "for v in coreVTDs:\n",
    "    coreTractPoly = coreTractPoly.union(tractGeom[v])\n",
    "startTime = time.time()\n",
    "for jj,t in enumerate(coreVTDs+envelopeVs):\n",
    "    if jj%50 == 0:\n",
    "        print(\"working on HD\",t,\"our\",str(jj)+\"th out of\",len(coreVTDs+envelopeVs),\n",
    "              \"that will contain the VRA core, time =\",int(time.time()-startTime) )\n",
    "    VRAvtdList[t] = coreVTDs.copy()\n",
    "    bridgeVTDs = list()\n",
    "    circleCP = hdCP[t]\n",
    "    if t in envelopeVs:  #HD center is pushed toward core, define the connecting bridge\n",
    "        nearestCorePoint = nearest_points(coreTractPoly,tractCP[t])[0]\n",
    "        bridgeLine = LineString([tractCP[t], nearestCorePoint ] )\n",
    "        bridgeTube = bridgeLine.buffer(0.002) #this assures a connection from HD center to the core\n",
    "        for c in range(nCounties):\n",
    "            if bridgeTube.intersects(countyGeom[c]):\n",
    "                for v in set(countyTractList[c]).difference(set(coreVTDs)):\n",
    "                    if bridgeTube.intersects(tractGeom[v]):\n",
    "                        bridgeVTDs.append(v)\n",
    "        circleCP = Point(0.5*(hdCP[t].x + nearestCorePoint.x), 0.5*(hdCP[t].y + nearestCorePoint.y) )\n",
    "    bridgePop = np.sum([tractPop[v] for v in bridgeVTDs])\n",
    "    VRAvtdList[t] += bridgeVTDs\n",
    "    availVTDs = list(set( [i for i in range(nHDs)] ).difference(set(coreVTDs+bridgeVTDs)) )\n",
    "\n",
    "    targetPop = aDP - corePop - bridgePop\n",
    "    if targetPop < 0:\n",
    "        raise Exception(\"Error, core + bridge pop =\", corePop + bridgePop,\"> aDP\",r5(aDP),\"for HD\",t)\n",
    "    nonCorePop, R, toler = 0., 0.01 * VRApoly.area**0.5, 0.005*aDP\n",
    "    dR = 2.*VRApoly.area**0.5\n",
    "    nLoops, maxLoops = 0, 14\n",
    "    while abs(targetPop - nonCorePop ) > toler and nLoops < maxLoops:\n",
    "        nLoops +=1\n",
    "        R += dR * np.sign(targetPop - nonCorePop)\n",
    "        dR *= 0.5\n",
    "        nonCorePop, nonCoreVs = 0., list()\n",
    "        coreCircle = circleCP.buffer(R)\n",
    "        for v in availVTDs:\n",
    "            if coreCircle.contains(tractCP[v]):\n",
    "                nonCorePop += tractPop[v]\n",
    "                nonCoreVs.append(v)\n",
    "    if nLoops >= maxLoops:\n",
    "        print(t,\"WARNING, circle bisection ran\",nLoops,\"and nonCorePop vs target =\",nonCorePop,targetPop)\n",
    "    VRAvtdList[t] += nonCoreVs\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "62d75e69-7463-42fc-a8c0-da4177bbbe58",
   "metadata": {},
   "outputs": [],
   "source": [
    "if VRAno == 0:\n",
    "    coreUset, coreVset, envelopeSet = set(), set(), set() #run this once, ONLY for VRAno 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "075d484d-8ccb-43a7-8748-84bd0c33fadb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "establishing which UNITS are in the core for VRAno 0\n",
      "the final core unit pop is 566769.0 0.7205 of a district vs vtd-based 0.72121\n"
     ]
    }
   ],
   "source": [
    "print(\"establishing which UNITS are in the core for VRAno\",VRAno)\n",
    "coreUnitPop, coreUs = 0., list()\n",
    "coreTractPoly = tractGeom[coreVTDs[0]]\n",
    "for v in coreVTDs[1:] :\n",
    "    coreTractPoly = coreTractPoly.union(tractGeom[v])\n",
    "for u in range(nUnits):\n",
    "    if coreTractPoly.contains(unitCP[u]):\n",
    "        coreUnitPop += unitPop[u]\n",
    "        coreUs.append(u)\n",
    "corePop = np.sum([tractPop[v] for v in coreVTDs])\n",
    "print(\"the final core unit pop is\",coreUnitPop,r5(coreUnitPop/aDP),\"of a district vs vtd-based\", r5(corePop/aDP))\n",
    "for u in coreUs:  #these two loops are a master set - because we have multiple VRAs in this state\n",
    "    coreUset.add(u)\n",
    "for v in coreVTDs:\n",
    "    coreVset.add(v)\n",
    "for v in envelopeVs:\n",
    "    envelopeSet.add(v)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "d69ed2e2-2946-4441-bcb6-61a6014eaa3c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now define envelopes for VRAno 1\n"
     ]
    }
   ],
   "source": [
    "cList, VRAno = [24,20,22], 1\n",
    "print(\"now define envelopes for VRAno\",VRAno)\n",
    "\n",
    "coreVTDs = coreVgroups[VRAno].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "61104e85-5baa-4990-a30e-b593bcce081d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now define the envelope of nearby vtds that will include the core in their adjusted HD\n",
      "  Do this by expanding a circle from the centroid of the core until it captures sufficient pop\n",
      "final envelopePop/aDP, corePop/aDP are 0.29804 0.69698 for VRAno 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for v in coreVgroups[VRAno]:\n",
    "    plotPoly(tractGeom[v])\n",
    "print(\"Now define the envelope of nearby vtds that will include the core in their adjusted HD\")\n",
    "print(\"  Do this by expanding a circle from the centroid of the core until it captures sufficient pop\")\n",
    "envelopePop, R, toler = 0., 0.01 * VRApoly.area**0.5, 0.005*aDP\n",
    "coreCP = getHDcp([tractCP[v] for v in coreVgroups[VRAno]],[tractPop[v] for v in coreVgroups[VRAno]],\n",
    "                 [i for i in range(len(coreVgroups[VRAno]))] )\n",
    "dR = 2.*VRApoly.area**0.5\n",
    "corePop = coreVgroupPop[VRAno]\n",
    "targetPop = aDP - corePop\n",
    "availVTDs = list()\n",
    "for c in cList:\n",
    "    availVTDs += countyTractList[c]\n",
    "availVTDs = list(set(availVTDs).difference(set(coreVTDs)))\n",
    "while abs(targetPop - envelopePop ) > toler:\n",
    "    R += dR * np.sign(targetPop - envelopePop)\n",
    "    dR *= 0.5\n",
    "    envelopePop, envelopeVs = 0., list()\n",
    "    coreCircle = coreCP.buffer(R)\n",
    "    for v in availVTDs:\n",
    "        if coreCircle.contains(tractCP[v]):\n",
    "            envelopePop += tractPop[v]\n",
    "            envelopeVs.append(v)\n",
    "plotPoly(coreCircle)\n",
    "for v in envelopeVs:\n",
    "    plotPoly(tractGeom[v])\n",
    "for v in coreVTDs:\n",
    "    plotPoly(tractGeom[v],0.2)\n",
    "print(\"final envelopePop/aDP, corePop/aDP are\",r5(envelopePop/aDP), r5(corePop/aDP),\"for VRAno\",VRAno)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "a3d0c43b-3da2-4481-b401-6e26cb690b92",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we define HD vtdLists for VTDs in the core and the envelope for VRAno 1\n",
      "For core, we grow a circle from HD center\n",
      "For envelope, we pick up all tracts that intersect the line from HDcP to core center, ...\n",
      "...then we grow the district from the midpoint on the line from HDcP to the closest point on the core\n",
      "working on HD 6767 our 0th out of 514 that will contain the VRA core, time = 0\n",
      "working on HD 6932 our 50th out of 514 that will contain the VRA core, time = 43\n",
      "working on HD 7036 our 100th out of 514 that will contain the VRA core, time = 87\n",
      "working on HD 7191 our 150th out of 514 that will contain the VRA core, time = 127\n",
      "working on HD 7298 our 200th out of 514 that will contain the VRA core, time = 167\n",
      "working on HD 7423 our 250th out of 514 that will contain the VRA core, time = 207\n",
      "working on HD 7538 our 300th out of 514 that will contain the VRA core, time = 251\n",
      "working on HD 8153 our 350th out of 514 that will contain the VRA core, time = 292\n",
      "working on HD 6866 our 400th out of 514 that will contain the VRA core, time = 332\n",
      "working on HD 7205 our 450th out of 514 that will contain the VRA core, time = 375\n",
      "working on HD 7558 our 500th out of 514 that will contain the VRA core, time = 418\n"
     ]
    }
   ],
   "source": [
    "hdCP= [tractCP[t] for t in range(nHDs)]\n",
    "print(\"Now we define HD vtdLists for VTDs in the core and the envelope for VRAno\",VRAno)\n",
    "print(\"For core, we grow a circle from HD center\")\n",
    "print(\"For envelope, we pick up all tracts that intersect the line from HDcP to core center, ...\")\n",
    "print(\"...then we grow the district from the midpoint on the line from HDcP to the closest point on the core\")\n",
    "coreTractPoly = tractGeom[coreVTDs[0]]\n",
    "for v in coreVTDs:\n",
    "    coreTractPoly = coreTractPoly.union(tractGeom[v])\n",
    "startTime = time.time()\n",
    "for jj,t in enumerate(coreVTDs+envelopeVs):\n",
    "    if jj%50 == 0:\n",
    "        print(\"working on HD\",t,\"our\",str(jj)+\"th out of\",len(coreVTDs+envelopeVs),\n",
    "              \"that will contain the VRA core, time =\",int(time.time()-startTime) )\n",
    "    VRAvtdList[t] = coreVTDs.copy()\n",
    "    bridgeVTDs = list()\n",
    "    circleCP = hdCP[t]\n",
    "    \n",
    "    if 0 == 1: #countyNo[t] == 30 and STATE == \"OH\" and tractCP[t].x < coreTractPoly.centroid.x:\n",
    "        #special for Hamilton Co - force western-based VRA HDs (core and envelope) to absorb west county\n",
    "        for v in set(countyTractList[countyNo[t]]).difference(set(coreVTDs)):\n",
    "            if tractCP[v].x < coreTractPoly.centroid.x:\n",
    "                bridgeVTDs.append(v)\n",
    "            \n",
    "    else:\n",
    "        if t in envelopeVs:  #HD center is pushed toward core, define the connecting bridge\n",
    "            nearestCorePoint = nearest_points(coreTractPoly,tractCP[t])[0]\n",
    "            bridgeLine = LineString([tractCP[t], nearestCorePoint ] )\n",
    "            bridgeTube = bridgeLine.buffer(0.002) #this assures a connection from HD center to the core\n",
    "            for c in range(nCounties):\n",
    "                if bridgeTube.intersects(countyGeom[c]):\n",
    "                    for v in set(countyTractList[c]).difference(set(coreVTDs)):\n",
    "                        if bridgeTube.intersects(tractGeom[v]):\n",
    "                            bridgeVTDs.append(v)\n",
    "            circleCP = Point(0.5*(hdCP[t].x + nearestCorePoint.x), 0.5*(hdCP[t].y + nearestCorePoint.y) )\n",
    "    bridgePop = np.sum([tractPop[v] for v in bridgeVTDs])\n",
    "    VRAvtdList[t] += bridgeVTDs\n",
    "    availVTDs = list(set( [i for i in range(nHDs)] ).difference(set(coreVTDs+bridgeVTDs)) )\n",
    "    if countyNo[t] == 30 and STATE == \"OH\": #allow in-county only\n",
    "        availVTDs = list(set(availVTDs).intersection(set(countyTractList[countyNo[t]])) )\n",
    "        \n",
    "\n",
    "    targetPop = aDP - corePop - bridgePop\n",
    "    if targetPop < 0:\n",
    "        raise Exception(\"Error, core + bridge pop =\", corePop + bridgePop,\"> aDP\",r5(aDP),\"for HD\",t)\n",
    "    nonCorePop, R, toler = 0., 0.01 * VRApoly.area**0.5, 0.005*aDP\n",
    "    dR = 2.*VRApoly.area**0.5\n",
    "    nLoops, maxLoops = 0, 14\n",
    "    while abs(targetPop - nonCorePop ) > toler and nLoops < maxLoops:\n",
    "        nLoops +=1\n",
    "        R += dR * np.sign(targetPop - nonCorePop)\n",
    "        dR *= 0.5\n",
    "        nonCorePop, nonCoreVs = 0., list()\n",
    "        coreCircle = circleCP.buffer(R)\n",
    "        for v in availVTDs:\n",
    "            if coreCircle.contains(tractCP[v]):\n",
    "                nonCorePop += tractPop[v]\n",
    "                nonCoreVs.append(v)\n",
    "    if nLoops >= maxLoops:\n",
    "        print(t,\"WARNING, circle bisection ran\",nLoops,\"and nonCorePop vs target =\",nonCorePop,targetPop)\n",
    "    VRAvtdList[t] += nonCoreVs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0084512c-2be6-4391-b167-51381be84dd3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ddc52f86-c04d-44cd-8a3b-2d16955f2010",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "743af335-e065-4a5b-9375-fd834fb94973",
   "metadata": {},
   "outputs": [],
   "source": [
    "#coreUset, coreVset = ... #do not rezero after VRA0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "639fa35e-98b8-4083-abba-3111071d5a28",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "establishing which UNITS are in the core for VRAno 1\n",
      "the final core unit pop is 545021.9161880749 0.69286 of a district vs vtd-based 0.69698\n"
     ]
    }
   ],
   "source": [
    "print(\"establishing which UNITS are in the core for VRAno\",VRAno)\n",
    "coreUnitPop, coreUs = 0., list()\n",
    "coreTractPoly = tractGeom[coreVTDs[0]]\n",
    "for v in coreVTDs[1:] :\n",
    "    coreTractPoly = coreTractPoly.union(tractGeom[v])\n",
    "for u in range(nUnits):\n",
    "    if coreTractPoly.contains(unitCP[u]):\n",
    "        coreUnitPop += unitPop[u]\n",
    "        coreUs.append(u)\n",
    "corePop = np.sum([tractPop[v] for v in coreVTDs])\n",
    "print(\"the final core unit pop is\",coreUnitPop,r5(coreUnitPop/aDP),\"of a district vs vtd-based\", r5(corePop/aDP))\n",
    "for u in coreUs:  #these two loops are a master set - because we have multiple VRAs in this state\n",
    "    coreUset.add(u)\n",
    "for v in coreVTDs:\n",
    "    coreVset.add(v)\n",
    "for v in envelopeVs:\n",
    "    envelopeSet.add(v)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "2cdbbe0c-f034-46f9-ab5b-4240c5cbab72",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "finalizing the master lists of core VTDs and core units\n",
      "there are a total of 838 884 core VTDs and core units 310 envelope Vs\n"
     ]
    }
   ],
   "source": [
    "print(\"finalizing the master lists of core VTDs and core units\")\n",
    "coreVTDs = list(coreVset)\n",
    "coreUs = list(coreUset)\n",
    "envelopeVs = list(envelopeSet)\n",
    "print(\"there are a total of\",len(coreVTDs),len(coreUs),\"core VTDs and core units\",len(envelopeVs),\"envelope Vs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93720d47-7a83-44ed-bb3e-904909a9e50e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "c3ba3e41-3dde-47ec-aec5-18a2e05e3b91",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now back to polygonal HD drawing prep ... optional squish\n",
      "for many states we move in outcroppings via clipPoly's before running the wedgePoly solver\n",
      "adding code here to 'push in' state panhandles ...\n",
      "performing squish no 1 for state OH\n",
      "clipPoly 0 intersects [8, 30] counties and a total of 289 units\n",
      "Here is the original cutLine and an alternate based on cut shapes\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These are your orig (faint) and squished shapes for clip no 1 out of 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now back to polygonal HD drawing prep ... optional squish\")\n",
    "print(\"for many states we move in outcroppings via clipPoly's before running the wedgePoly solver\")\n",
    "vtdCP = tractCP.copy()\n",
    "#CODE TO SQUISH GEOMETRIES FROM CLIP LINES INTO THE MAP\n",
    "print(\"adding code here to 'push in' state panhandles ...\")\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "#Adding in here trimming ops\n",
    "toSquishUnitsList = list()\n",
    "toSquishGeomsList = list()  #combined list of geoms we will squish (over all squish operations)\n",
    "toSquishCountiesList = list()\n",
    "squishedShapesList = list()   #unit shapes after squishing, list over all squish operations\n",
    "print(\"For this Ohio VRA redo, we will not squish\")\n",
    "if nClips > 0:\n",
    "    clipPoints = ast.literal_eval(trimDF[\"clipPoints\"][DFrow])   #sets of four points\n",
    "    farPoints  = ast.literal_eval(trimDF[\"farPoints\"][DFrow])    #pairs of points\n",
    "    newFarPoints  = ast.literal_eval(trimDF[\"newFarPoints\"][DFrow])   #pairs\n",
    "    cPts = [Point(clipPoints[i][0],clipPoints[i][1]) for i in range(len(clipPoints)) ]\n",
    "    fPts = [Point(farPoints[i][0],farPoints[i][1]) for i in range(len(farPoints)) ]\n",
    "    nfPts = [Point(newFarPoints[i][0],newFarPoints[i][1]) for i in range(len(newFarPoints)) ]\n",
    "    \n",
    "    for clipNo in range(nClips):\n",
    "        print(\"performing squish no\",clipNo+1,\"for state\",STATE)\n",
    "        n0,n1,n2,n3 = int(4*clipNo), int(4*clipNo+1), int(4*clipNo+2), int(4*clipNo+3)\n",
    "        clipPoly = Polygon([cPts[n0],cPts[n1],cPts[n2],cPts[n3] ] )\n",
    "        cutLine = LineString([cPts[n0],cPts[n1]] )\n",
    "        farLine = LineString([fPts[int(2*clipNo)],fPts[int(2*clipNo+1)] ] )\n",
    "        newFarLine = LineString([nfPts[int(2*clipNo)],nfPts[int(2*clipNo+1)] ])\n",
    "        \n",
    "        toSquishCounties = list()\n",
    "        toSquishUnits = list()\n",
    "        for c in range(nCounties):\n",
    "            if clipPoly.intersects(countyGeom[c]):\n",
    "                toSquishCounties.append(c)\n",
    "                if clipPoly.contains(countyGeom[c]):\n",
    "                    toSquishUnits = toSquishUnits + countyTractList[c]\n",
    "                else:\n",
    "                    for t in countyTractList[c]:\n",
    "                        if clipPoly.contains(vtdCP[t]):\n",
    "                            toSquishUnits.append(t)\n",
    "        print(\"clipPoly\",clipNo,\"intersects\",toSquishCounties,\"counties and a total of\",len(toSquishUnits),\"units\")\n",
    "        toSquishGeomUnion = vtdGeom[toSquishUnits[0]]\n",
    "        toSquishGeoms = list()\n",
    "        for t in toSquishUnits:\n",
    "            toSquishGeomUnion = toSquishGeomUnion.union(vtdGeom[t])\n",
    "            toSquishGeoms.append(vtdGeom[t])\n",
    "        unclippedGeom = MAP.difference(toSquishGeomUnion)\n",
    "        altCutLine = toSquishGeomUnion.buffer(0.001).intersection(unclippedGeom)\n",
    "        print(\"Here is the original cutLine and an alternate based on cut shapes\")\n",
    "        #plotPoly(MAP,0.1)\n",
    "        plotPoly(cutLine.buffer(0.02))\n",
    "        plotPoly(altCutLine,0.1)\n",
    "        plt.show()\n",
    "        # could use altCutLine for a more accurate squish at the squish-no_squish boundary ...\n",
    "        #newShapes = squish(clippedGeomList, altCutLine, farLine, newFarLine)\n",
    "        squishedShapes = squish(toSquishGeoms, cutLine, farLine, newFarLine) #..but may distort results\n",
    "        toSquishUnitsList.append(toSquishUnits)\n",
    "        toSquishGeomsList.append(toSquishGeoms)\n",
    "        toSquishCountiesList.append(toSquishCounties)\n",
    "        squishedShapesList.append(squishedShapes)\n",
    "        for geo in toSquishGeoms:\n",
    "            plotPoly(geo,0.1)\n",
    "            plotPoly(geo.centroid.buffer(0.004),0.1)\n",
    "        for geo in squishedShapes:\n",
    "            plotPoly(geo)\n",
    "            plotPoly(geo.centroid.buffer(0.002),0.4)\n",
    "        print(\"These are your orig (faint) and squished shapes for clip no\",clipNo+1,\"out of\",nClips)\n",
    "        plt.show()\n",
    "        #pause = input(\"enter 1 when ready\")   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "f6674cc7-3ea6-475d-9a4f-f352e29c24c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#now apply the squish to all impacted vtds.  \"tractGeom\" will retain original vtd shapes, so we can reset if needed\n",
    "print(\"WE WILL NOT SQUISH FOR OHIO now that there is no VRA district in Hamilton County\")\n",
    "#for i, vList in enumerate(toSquishUnitsList):\n",
    "#    squishedShapes = squishedShapesList[i]\n",
    "#    for j, v in enumerate(vList):\n",
    "#        vtdGeom[v] = squishedShapes[j]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "id": "11359c48-160e-4979-a539-fff83e286396",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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PoEZHc+KJJ3bo+auvviIYPJzQ3M48ub+Svi4H5ybHH1T7v++vZEeLn9nHDcJuFc2zsLA4RrCMj/9APn7kTxHDA0BqLXz0xW4cjnyWqFtxfXI3u1LGUzTkalwJJ7EoLUTc6F1U1n3Eep/pdr8w7kpuGnYjCTFxbCkvO6xxCCN8oTcOLeLU7zMv7v5Az0bF8hNGUdbYhFNVURTFdLSE7/aNsAfkghUFaK39SoGjC+MjJ9BAma+ZT/LTsSsqdlVFVQQh3SCo6wR0nYZAiK1NXob99kHsQqAoCooQKIrgk3t/iWvep6yY9ykAy045nYvOOZN7L0lHqs1sb9AYHJdC+pBh1K9ZTnMwSLTDEdl+ZmYmCxYswO/3c/LJJ+PsQvG1OwJ79uDo2xehquxu8fN5VT0PD8rCdhCGxFavj8f3V3BzTiojYqIOepsWFhYW3zWW8fEfyDm3380/rrsSgBRXXyr9+1la+AoIgVBUzj73L+GW5kXeFruB1CE1NPvb7vo/bHiDDz98g2/PX4guw8aDODQjQlabxeKU+rpDWq/V+NhfsBXnl7NBtBP3EsLcDykxAjr2+ExwOTEUM2VUEQoowgyaFGbF3Eaps2j7TryaDaHXsapgAQhhtkVQ7a3ALmBgamqP45rUzfLYv/6DkupqdE1nxf13MXHDs8SUPMzmxJFcO8IUN3s2r5Ls1BS8hkFRXQNDUtsySq644gqWL1/ON998Q0FBAWeddRZDhgzp9Th5Fy2i6LrrceXnk/LrX/NUfDopDhuXpiX2uq4uJXdsKyLX7eD2vj3vt4WFhcX3jWV8HMPUvF6A7g2RcuOoDstdtigunXILLYHdOJrSYWIaRkjD5nSxYt0GnOp8DFRCtdOIyn0a1V3E7KaupxxW7VrPmvL9ABRVa53e7xG/33xYMoc1OdI0GMLekCrVieLJxWlzoGAWblMECKESKK8hkJpOcV0ta1csP9TD0gExeiob4/pwSWkz2LJw+bbx41V/6dgoCjJ8Bxec2RU5ycnkJJvGxHolxJaYccwnk5SqSmbufo9vcs9mf4Ofig37cQCrn3qSzXY7IyZMYPDpp6OqKlOmTCE/P58vvviCt99+myFDhnDmmWcSF9d5XKGyMqoef4LmZctwDRuGv6CA1bffwfsPPMXdeZkHJZb2fFEV65ta+GzsQEvN1MLC4phDSHlsFbNobGwkLi6OhoYGYmP/t8WQiu9aBICa4AQJzrx41FgH/vIaNmddGmkXVZNP9ppfR14/Y/8nn+WtPOTtXZf4OLecM+Og2y/fsIq4y67p8r2r7/srxanpPa7/3PpFTJgxDSCSFRIJKhWCwutvwDX2NJJv+ykYZsCpNFoDT0Eaktef/TN6YgaTr7oSr9aMUyvHiYEk3D7s1RmUNYLc9IEHvW8RDAP0IOgB0IJ4HxyKxx7qsulmkcf78hxSfD68QhBSVW6++Wbi0tuOg5SSgoICvvzyS4LBINOnT2f8+PEoYVEyGQyy76qrCZWWEj3+ePrc/AuqHn+cB+PSmHfqTNZOHkZ0L8E5e1sCnLxqG1dnJPGngVk9trWwsLA4WhzK9dvyfBzDOPvHEdjTgAwZqHFOfBuqEA6VRvdqaHdNcdly8FzXn6DfR/D1Mk40ZqDuy8Cn+ojP8FBf4mX4mcPZ1rSdWYWfAzDKP5nbT7oZm2KjpNzLpveKiD3Ow9Y1BWanYZO0NcvECNcNGZjfH3eMqfuxV6nnwTP/wJnDN/OzCWeYGSjhyrFlxX7G6CU8ljMYI1xXxJBmsOn+2gZ+pjmJGj2atJEju93/xhBE211kDunbbZu+hpOEkI+pqR6EEo9Q+iIUYWp9ChCKDaGqCMWGoQXN1wepPlr06m1k732lwzKPHRpD8ZTGjqZ0cAoZTY0M3PUVAonoM4x7f3YvNpuNhsJCnnruOWa99BI/uPfeyPpCCIYNG8aAAQP4+uuvmT17Nhs2bOCcc84hIyODysefwL91K7lvvoF7xAgAWoYP5/O+I7k5Na5Xw8OQkju2F5LisHNX/56NPwsLC4t/F5bxcSwjwD2yD0k/GAqA1CUoENeUQsnqv0WajZz5KKrDDcDm4Tso3V6LKlU8mofsvv3QCvdy1qCzuMZzDacVncrcNYv4nPfZUjaDa066lLjm3ewNNvHPjbXct7W6xyEd9/Yq/nLdNAQCpcpOozOafsNOot/wA2q7lCwkKQbyB3WuIeLavQ8K67G3C8rsEl1D9NJmauJK+rl3wVMv9tzXAZgGkQhn7ooO+ToyHIGSIQwajBiq+18ONgfC5kA4osg45ScMjkkg+9mf4y6dgxZyYpz1d4aecDGNdfXEJyViV1VCdjs7u8lycblczJw5k1GjRvHZZ5/xwgsvMHbAALLffJOsW34RMTwA3pt0MqK4mjMe/wv84+ke9+v10hqW1Tfz/ugBRB9G1WALCwuL7wPL+DiWOUDHQajm6+jY/pw8bQf1+9cRlZgTMTwA+p19Au/vMqdchsb3Y2XVRmKIQSJRFIXpfaczLeskZr/6CdsqdlBRWU2gspSQEuSnmz8jdeYE7BkZKFFRZsl7XUOx2aChgadnbaQgIZsLX1iFHhbtcio2HGWdNSykULpV0gyEs1yc9p4NC2loCEfPWiCpnmh03Unl6F8ipQ6GDkjTqIhog+ggDfPPMB+lNBCy7bn5XqsJ0maKeEadyYBx53YcV0sjvt8dh92+n1rHGJpm3s+bRTW8+uUyGqOi2TJCEqqpASAmGOTbxx8Hw0DTNJo1jRZ/gIQYD+NnziQrP5/rr7/eDEidM4eNZ53JiHXrGHbtj7HbbTS7o3nljEs5b9E8bN/M7/FYFPuD/HF3KVelJzE1IabHthYWFhb/Tizj4z8URVVJ7D+u0/I3n3kt8vySX1xN7ZznqKACeztBL1VViNWS+Mz/Dp99+Q4AYrzgruIMsp75plOfzvx8AgUF/K6bsXiH/rirER7gT2ijpawMlHgoLUGrykIKgcQUDZMIpJlTi6EbaIqdUEvInEpRQAgFFMzXQmAXQbS46aSff2d3h+qoYtSWEHr0RAJqCz894S7mi9PADyS3SdA3eb0kZWTgDIVodLlYUFtrZt8YBq5QCLdhsNvQWfnWWwySkqnnnceUKVPoV1TEkoKtrEtOZruUjG1pYUlWHgGHg9vOPZ3cB+7tdlxSSn61vYhYm8rv8jK+hyNhYWFhcfhYxsexjOCQyqZIKSkJmumvv7nzbhRVwWPzUEEF6gEu+NfP/yfLdq8mqAWpqy/jhdoXiL/yZPpUedBqazB8PqTfT9OXswkVFwMQe/ZM7BmZ5rZ0jabyYkKzvkImdr7Llih0F1nhrayDtHhqn3ySnXcVdb0vwLcnPQ01wB2LumwjgJ+nbYWGrXBfV9ksYc9LxAPT/rWIpPWCwupQXxZqw5krJoUPedgQCj/foZnqoHZCPOAYzVY1n/N5n/mcBsAkbzVRVbvYob/OTzY1oSoKIi1cZVaCU6r85ZTHGTRsKgAtDQ0s+uc/WV9ezrZZsxg7axYz77qLSy6/nJqaGubPn8+3BVt5Y9hYLkpNoN/w/t0cTZP3Kur4praJ10b0I/aQ1eIsLCwsvl8s4+O/Cc28VE7Pn4zDbQpZKc21GBic8NaUsEehe0K2epJv7uhB2PrV3Mjz+EsuIXrChMhrf8EKQrO+QnF0Fs2Sios1/s4GwY6aOqqHjIX6OoIX/BypmlMekct8ODtF6gZsNdfJSRUoqin6JRSBw6kSnxyHFIKmnUk47TqOoSeHp050c5ol8mi0PSLN5YYW/guZj7pGen0Dt/IBDX0mgRDoEip8KoYBO1vaBLpC2GkOno907aZg4Rk8l/MonxUPpDT9G3Y5akCFU0ODcGNHIpmjbKXRLQGNXfvWRoyPqLg4Tr/1Vmb4fHz9/Assr61h3333ceKUKYycOZNLLrmEmDXreKFRMMnWs/5KZSDEnduLuDA1gdMOst6LhYWFxb8Ty/g4lhHikOqmyJCOkGBztsVS9MXFLgx+m3oiQnWGuw1ng4SfaxUlUL6AKaVtVWb9IR2X3byDlpqp/1H4wx91OTalsbnjOMLLBzrNYMvZu/fzbWklQhG8Emz7ymWcMZH8gWnd7s83N3xtptxWSOhQsyVE1JZicpNb8NnjaU4YTdolLx/EEeqe4o+eInPDPfziyst49rNdfLytnAbZdtFPkQr9nJJ3lCv4WWoyS6Lc5ATSmRWSNKdWoDrMGI9ros7hl1ffH0mdbfj7TL5yF3JZaAyTJl3Sabs2t5vTb72FAfPnM+/zWXy8Zg3zly7l/NNPJ6F/HjRW4+4lcHRRXRM+Q3JpWkKH5bv2/B2H3UNmxhWoqlVQzsLC4tjBMj6OdQ5h2sUI6Ug61kxREDjQueSkB8Cd0OV6vuXLcO/8gqrgUApvn0UIyQynaZwknfIb4gJeztuziHqnB0MoIAUCA0VK4m1NzNzyN4oevB8BuAN2CsmCaf9gcUsiQ+Yso97hBuwohg4KePwtDCvdQ3xKz3fpwgiSH1/GyMvGowdC6EENLaDhrQ+wazVsr0/j5IzdULObkj/PQkI4fsR8NMIGVuuyTv236aoywdcEwEkPz6EFN8d7ojjvuCyio+0kRDuYMiYNw9/M+icdLIkyA3wLm/sT7bbTzw2eUAa3TrqGycMO0EkRgqE1Lu694zV6Im/6dAacfDKrX3mFWYWFvD5/PgMTMzh/mZeFWhObHeXmvkhwZ0Rxxw/bhOdO7xPHwCgnNxcU8t7oAezxBVhSvpUZVY8DsHPn/Qwe/CeyMn/Q4xgsLCwsvi8s4+MYxhfYh7Ijjn1//IRIvEI4NdR8LmGoj9zLLgNg18btIMDRzvNRWbmFZhHFeW9Mxq7YUKXABlw84FwuOOl+AGzppvy2sPlwpPiwSUhrclEuBfWuWM6N9dGQdTpmdER4CFKiA4OD/2KAWs2a1HEYNjtj96wgiQKWLLmKl/v+lMr045FGCzcO6UdabAwby6tIKlf5omgXtskdC7AdiABcqUkkjutcin7I5RBsCbL47y5SNJ2GnHHh7BVTaRXCj1IiMCJjjhzCCKZ+SUFVM9u9QxifmMBdlxzHoP7xnbb55rZPeSR8rK5Ku4o7f9h7kKuURqespW73VwjGXHEF2+9/gF12G8tnfcuIwjy80QqBZPOnmrTfR6jYBz9sW89jU/lgdB4jl27h5FXbw0vdTCQKJzo2Amzf/lsyMy7D691BdHR/FOXg68tYWFhYHG0s4+MYpmHINxjCTmzsyHD9k3YBkwL0nQai2PRy7N+1l7e//giAz5bMZsDQPOKz+rBU6CiKZJAni3jVjY5kadNe5pYu5oLwdhSX+TWIOTEP5ykXA7AcuPiPX5MgBL//7U+6HeOqp7+BKkiu8iHdblTMqYoBWhFXG/sZcsptHdpnxniYu2EFAIGW7uXcI8K7PQiCOaIc3JiWwjB/H96+ala37Q6Gf337Af/cfx/zzh1FakJ8l21OzJzGXzY/xBmec7nz9IPLrpGGYWboHCQ2t5urHrif4uXL+eK9uYTI47wzYhhy6nEAPPbqBrSNnWvppDjtfDomj1lVDVyUlsDQaDdvLB4EtkT6aavQtCbmfzMIgKioPCZNnIOu+xBCsQwRCwuL7x3L+DiG0eKrsU2Npd/wrt3le55/E9u+ZPY+8DEhOl7IH3/xKRITW4jyemjBYNLwc7hw+C0A3PvqZD4J1fDDl0cDYfXR9FTO3L+EK2mLSxicEMUbJbWc+ruvIrVZFAQKoIafr/VfxKVqIr9yzEFtrGZX9CSCtZKAo4nle518+ed/tBuVaTx5g2ZsibfO38POa+RFuYjdXUfRHW/T3fxTvwFJlLkCXPnqJZjmmUAxc0xQwq+rNZ1d/hDJMS5zWTjbRRFtLSu1DSDg5bt+TR9H14XYmhU/jIXZ3k+R/1rcFjsjBEKEtyYEMhBEa9AwiGFefAkj6g9dcyNr4kROaklg7rsl+Iq9keVG0MAWlPzl+XU4PTZ+fmk+9nB2y/h4D+PjPZG2Oip2NPrmXI+3eQc+XyGNjRtoadnF/G+GIKUpEz940B/JyrrykMdoYWFhcbhYxscxjMQIX+q7Ju7EPOqjChCGgs0QXKUPYHFlJfsCTWRlhVBVO44ondktO3CXF0aMjwtHX4+x7Z22LBPD4FO1gmhZSftL0J1XjSb6jQ00+EPoEgzMaqkGpoy3LiHV8xHfuouoTDyOFy99ke3zC1j7QTXNSTuwRXWdcBulJBBsloS83QuIGYEg/ZwKLncy6CV0nHYi8vrCuilsTKkA1RE+YjI8kdIqCS9Z09KMxI6uq2iy9X0DiWbKxyNRtVwCfg9VAQfx4WrAB2JHMq4pRMguqHe2QGv9mNZ/YQl6GfJhqJJgKMSQOjfTkyZ2u589EhZhE0ZbLZmcAfHs2t1E/FrT+7HzRC/5WV3HzkhUFKmTm/vzyLKq6q/ZvfsR4uMn4GvZR3PzTrbv+B3RnkEkxB9/eOO0sLCwOEQs4+MYRkodenDZJw0ZT9KQ8R2WdRYzh3feHAUMjbweO+pHjB31ow5ttr16Llv1/fzsn9e2q28PxAKxIhy20FF4RAAhbR0hRWNNcC9/vf9N3JUpKDi47Efn0Xdg17VFqoqaePeBVdh6yOJQPdEIodDUN5ahN57QbbsfcVm377Xy95fW8OzOCpY8dFa3bdYX7Ob817Zx8g9TOOfk7i/CVb/tTyg+j4wbvuq2TfOfZmD3FuB4eEevY+uJhGRzOsQT3XbML5veD6b349NVxRS9tAN7DwHJAh0pOk6pJPeZQXKftqDYkL+KDV8ex5bV1zJq4vvEeIYc0ZgtLCwsDgbL+DimkT16Pg6F3mIea2wN1NGIgdGhqFz4STuTQ9LeOjlODCdD5POhfJNAo0Ksx8DmDJCamdjttrSwjPk/Sqp46JMm7BJsCOyAnfBzIUjOtXOy7SgUXTZkN5M2bUTiMnpJbRbSQIqeU1+90sluMYTAU08hpSQ7P5/tYiclVXswQkGEbnDhqbeQktGVqdh+TK3POn8HWpcs3VjJwOyuPR9moG3P3x/jn2cyrryBrxnGY4vf5vrrrycjw1JItbCw+G6xjI9jmMbGjRiewBH301o8rSdUh414NZ7nL3/1kPv/YPZXfFjxJqdfO4Lxw0f12r5MNTU79ngEUpFoQqIJOv15BzuhxUb3fo+DRPZsfOiaztdrd4Wb9mx8KKJ342OjI5clRgpqRQW6qhL91Rxm566hyl2FK2jgcwqUuYLrf/hEj/20JgjLLj677ORo9gM1XxbDzIFdry8NJOZYWypLqN+yMVzrxiCow1rFwbcuyYacTKYXmuJxzz//PHff+1uclkqqhYXFd4hlfBzDGIafxsYNbJtzEnZbAv1Peg+hHvxHFmzaR+XGhzGkhjC6zywBUIWKLvUe23RHbIobKsDmPLgLllTC8RqpCdx2atcXToBhs9ciQj2rex4MitFduKrJ+bc8yqZYM53XW9NzVd9opYWg0UOgLEBiEgnlzdx63yPMfuwxlgMnVJxA7tAYfvjDO5j4wkhCtlDPfWAG+EK7enftGJWbwMITU9BXVnW/PjqEDaWKTxZi350Vec8OTADe65uNR23m474fM6xuGPHFVfxl9nZ+e3Z+r+OzsLCwOFws4+MYJqs5mSp7JbXaPnz2Ivxzp6FG5vDDCqUH1C8RpqAFSChX9hKygcTF6tISbn/jnkiGhkCwQVtJg6hlcNJgavw12JWeK8gWemv47Zp/EjrAkKmu2gzAh/N2880SHbtT5bqLhuB2dP31SrSby/u5eq5qC6BV+yj68mPa7VybE6dDqRYzb0WY1efM98JZKMF6hSCS+95ZikMV2G0KDlXBrgocNoUaV5/I9jYX7mXrig/Cnbfm9ijh54J0PYFAtc7+L2aZxe2AGq0SR2JrBk8TS0pVIJp3v30XMS6HIbrOtoXb0OLiEEKgSNjVuJdZr71CP5FjjpO2fRJCYAQCULIHGELxHrDN3d/6sYIMC8yWtSCB2ZtKI7NFTf5mWuwhDAWkESLFv5otW97G7vWjp++n30/Oouz+LZH9fXT/Lyl2VHDdgD+wMWkj8XY7sxbv5fZTB+FxWqcHCwuL7wbr7HIMM7g2hcFRQ/CfdCtbVl1NMzUd3m+bTelKPEtgN2zEh5JILx1Gecxe1tlWmlkZwszOqLdXgYT1VesBCOpB7vrkrnY9tLn7myRsMKqpb1oOto7xHMLQiA2kYd+rYITqUH0G68emMmlwcpf7JcK39L1GcwgdiQEL48M73GpwdR/HcGCfEhiARoLi4611VegIdETHWAhHm8S7vmE1X6zq3vuRnfx/VGkD4dP2S3OIVxWuTP4FaxkG4WJzBd8WdFg3ymXWiEkI2JmXUMw8+VduWPq3Dse5bdQOEuoURAJsK4JtRbs7jUUFWmIVflRd2eVYb5Nx5LKd8op7yNRvJ6TForqiiVHfJmCMRolXqWvKRdoUVl25inPevoESRxkAS3ZVc/qw7qXvLSwsLI4Ey/g4ltGDoDpxJY/huLM2H3Y30z6aT0JsCz/4y9kdll/72K0UxK6CcAyGRDK/Zn6n9SUSv82OIRTcUcNYdfFbYa2MzizYWMHmZ7ag2g4iULYX68NweNGPayT7uvM6rypl2/rtvD3SMOvAGIYBGEhD4v72Tzxk/5CpUzeY6bBSohsGgZBOUDMIaDrllTsp3HMLmTGnMCDvBlOZFB0pzMJ0plKpwZx/1JOSXM4ZV04HKVm1fx1bX3dRr2dRccNCshXBonk3UxWqZ86Fc5CGxDAMhBBkJpgVgT+4bgG/ef6vzIt/nx/cORSbUM39MSSzn1hBddAMIM3MtDPRZsM2RBBz8ghMzw4ghOnp0A3qHfBjhzm1IoCXX3mF7LhUpl9+OsgnidYb0HWN0iU7EMIBNidxDzwdOY5b/vE+okbHZXPhVpNw2irQbQo3vL6GNfeeQpLHEiCzsLA4+ljGx7FM4TLz78LnjqibaLWegTneTsuHF01mlJzGbU9c2OP6O+oaOHHdHn7h0Lhnas9aEIZuxmgoPaTXtBouvXo+pIG3eWf3fXTYhGj3v9rBN+KOi8HnM3C73d1uKsHtw1dbhydhMBn9JnU/dvVdnHEaMZmmV2DxY1+TRAZeRz19UqehKirZSf2prlxHemzXqcZudww5aVlIv0Kt28XOiiCVlTXw0S68RhyK1Ljs1yNxB3OpebUET6KN+H7xXY/7gNexwQB9DMiNqLSa3qdKexF6qIuYHh0MxfzMWj0ws26Zyil/Xcgpf13Aut+d1u2xsLCwsDhcjk4ep8V3h637C+aREu2pwuloxu9v6rZNVXMLZ67dCUJQEpvIO2U13bYFkOFvlNKj/kRr497HqNo8vTc6CHpLNbbZzDt8wwj21lOHvlSp4o2t5pJfH4+qHHyGyJw+eVTnvMrUrUVcW1vBnTaNT4elohghrn/iJBIHpCEDprEg7Af/MzUVVzsvl5JO3qpgKACGRJVhz4kwK/fkpcQwc2Q6dS0hzv77ooPetoWFhcXBYhkfxzIZY2DU5Uelq66u8zFxFdhVjSVLRzPrizO6XG/6ym00K6aD7MOaJn61vbjnDbXGc+jdWxYRz0evaa0Cpyuz5+0dBKKtHF63qKoZ/GoYvWShyMh/AOjuIJ7GPjQ3tWXACESvhlVOvPnTOz/U9hMcZt/Ljc+fjhoOxJUhM7BX2A/eqOkoA9dx4O1tj7raavb/fhEDStMiZ4H2/qi/XmqmTG8uaaTR33tmjoWFhcWhYE27HMPsCSawdZ8kavaH5gIhIlkdkeyW1teIcCBnWypI63u7VcGALjJWo6JT8ZZ58JYNByGZ/flxSNso0lJPCm9KMEpvYZ46IbJOiiF4a00xHWc9BEr49Y7yJuKAPavKYU9TxJXf/oLYEL6Y9WSgtNKbgXJwKGZ2iJTdxqq0Gh+hUDPBYAtCUVGEiqKoB6zT0bNwxg/GsOrpagr27mTEUDNt2GwvCfqaux1RstIExLBd2Qv05Uf7d/DH6zvW8JHBcFaR/VB+pqLLY5bU0NGD1tTQgNtwsmNYJQOnHhdeU9CqiOK0qQxK9bCjwstLi/ZyXN8E8jNi6WPFgFhYWBwFLOPjGGZ68U/NJyUHu4aky/veKAeGL6aTWJc7VqC1JFG86FYAotM2kX3ik9TWLYi0uVaBi7RY/mz7I0VkUywMbm/sPhsk1tC5BahcVEHXORhtBGt60cs4SrQZDx3VWdtjt7sxDAWf/3kWLX6+w3tSiohQm67/kZaWlsh7ef2zWUU1it72U4rdW4Xhlhz3bvc1XXRbCrakn1HqdzG4bjdXjO+sqyHDMRqKo2fPxzP3P0FVyKz1IgX066YSsN5+Liz8NDE/i+x+A8KLOk4p/e7sYfzmo028uGgPT3xtjiU11smwjDiGZcSG/+LISnB3a9RZWFhYdIVlfBzDDE71kJ3g5IGZA2ktYmamdJgqleYMgLnMzPJoe9/MBjFfT316KwFPZ8nsU6+4juOmlyKE4MvnlqNpyaTFPW1mhLRKkkvIdMTwsrDxh4I9NPvTeXLmCMy32i5mhmx7LYbqxMm2i1Hbnbg5HVHjC7DwmS04kl097r+gd1n0g6O98dE1iqLQN+dx6up3m8e29Q8DaZgpv1IahEIudL1NrEtRBQYGu9dW8nrLLM456wSmb7UztEQn7tJLut3e9s0LGbT694zeY44pe8XiTm2MiOejZ+OjNtTIgJhs+vXNBWDIxJGd2tQ5WzDibfRtXeAwj4kSbF+rp+OkzdSBfVj465MxDElhbQtbShvZUtrAltJG3lpZRLXXVN+Nj7IzPCOOYZmxjMiMY3hGHH2ToiyDxMLColss4+MYxqYqpMd7SE1OOqJ+YsS2LperqoPkjFwAohIXUF6QxbcvdNUyBIQ4mXjcCYUMTO0+G+SgaI2P6MWy6D5+4dBordsipYHoQRp90KCZPfYjpWT9G3OJimmbwoh1xhLsW03M/gway+D5glmcM2crA4Gh7/+h276qZlby5XN3s196cGTnMDSui884HPOhOHoWfzMw6JuVzZRLZvTQRqK0MwgJT3nJTmeAzkdcUQS5faLJ7RPNzJFtGTyVjX42lzawuaSRTSUNfLa+lOcW7AEgRvj5eU4VGRnppKWlkZaWRmpqKi5XzwanhYXF/waW8XEMY8g2ie0jpbfQiZk/vYCyfTs7pIW0v3Ntjd1ISBl+xGOJ+CF6NT6Ojt+jbYtHJtVeUViPIm0Y/jYDRhEKv7z7cu658zkyGgYy7tQBlFUOI/2bLT30BMnRKVxzx0s9tjECYePD3bMSrIFE6aFCMECD0khadQIr//ARAoHNUEgmoePnjXJIRzwl1sX0WBfTh6RGllV7Azz4wXI+2Ap9klMoKytjw4YNYd0VSEhIiBgiaY4kBgwdiC3eaXlJLCz+x7CMj2OYngIkDwXTg9DzZcUVFUO//LFHvK2jzlFxfYS7OsK+XFGmB0Lt4uY9vsXU/Zg+dTyzv4qlPubIE8nMgFMV4eo+yFPXdRDmtFFPfJLwDcP8/clOyDHtDUVQ66hgUn5bllNXOrmHSh+Pk6w48zjNPPtsolwONE2jurqa8vJyKioqKC8vZ/my5fgDfi79bBLx7ljsGR7s6dE4MjzYM6Kx9YlCqJZBYmHx34plfBzDGFL2qk9xsPQu6CU7PJoKn0BrrRTapcgaRrsew1k1hzLQQzAGjorvI7JPR9ZNfLIHqYbwt4uTXbe1gKVPlBNFDM19TWlyhIiUoTkS9AYDUFGc3U+7tIq6qb14PjZE76Q2zc8rl/6q2zYHxnwcLhE/U9jbYbPZIlMvrexZvZ3XPn8L17QMPPY4gqVefFtq8C4KR1fbFOxpURFjxJ5uGie9Bd9aWFj8Z2AZH8cwihAYXZU0PUQ2uK6AapC/F4iDvCq2NyV0aUOTDmon/o30sy6n6oFTSNHXdLuulK3pte2CTmlLA04Brkuxs6TpH0C/7gchNeobVvP1/Dt6GWH3eyAEBDSFnfWDueP3s0zNj3bZsh2TaGWX77Uv+naB9CC2wBu3mhlB9WEhsJqoUr5JeoXFL/2LSWUVnNNssGNyWB1UCBSjCkXxgdIq6BXusMMA2l4LQOT9DDVpBHv/XoB2oHERbhdCAwF6sOfPtcJWQYWvgis/nBKukivDk1ASmzeKgTvPY2iwP0OMATzwy286SNcLwiJl7fxnsos/AzPbJqQbnIa9xzTp1q+hPSua2OE5keWGTyNU5iVY2kyo1EuwqInm1RXmHKQAWx839vRo7Bke0zBJj0aN6b1AoYWFxbGFZXwcw9hUgX5UdC7Aq8TTOOi28CvR8YoaedrxcisRCKkhZIikrX8lZcVNhFbcSorw06KkUT/kJrO5bHdJai/C1ZqJQ+vFxkBKSUgLkLv3UeIT6nocswinxiYkTCaS5RNBHjCV1LZt2S7rBySF1XsYlrSdyVkODGnWUTFavSEHrC7b7U77562vF3h1TgAG9jGVV+PR2GwU4M/dxonqOAQC+ygv1aEa+gkzK0b4KnF4t5rbSBnaoRYNkQym8NjbbdSo+ieK/TyCqdMQqsKBuwughY3TFtHztItDQFCCU7VHqhqbto4gb/PVRDflUJ9VTCAYhao4Il8RobSl4LZ6vjqoych23xZpKoUEa1vI9tlwqN2fXvQKnzn+uo7p1orbhrN/PM7+8W27qhmEKloIlXoJlTUTLPXi314UUYCtG/QVgQF7SMgagydmGDGefNzuHCuOxMLiGMYyPo5hDKPnGikHS7FIoyj1NCZdfvth91HxdR5aydbI6/iTLicjp/9h9VXjrYdHH+1VuVMIGzExYxg7pvuskYNh3+LnIPgXnrr+dFS158yR3ph6z2xCKR5Ou3V8ZNlMJve80n1xAASO/xvOmT8+6G2Vffoq6Wtvoc+tN+KIT+yyTWlxObz4DY1a9xL5APenKDgdJzF9+hOd3nv6C7OY4G9+c3Wk4vCR8PzDbxPam4LSQ1/2xHDgjLv3U5CwKTgyPTgy26T2pSHR6/wES70U7nkQn74dX9kegvv/AYDNFoPHk09MTD4xnmHExOQTFTUARbFOeRYWxwLWL/EYxpDyqBgfOjYUeWQS2akzLgAuOOKxAG0xGL3crZu7fuSeH3s4GNOQkiONGNB1A9FVgbYe0C6Zje29M1BXP0xw20dw/A04Tjy79xXDngND6/6z08LpuIbseUyKEsRm71wnJ+jTIs8PxvDwVdRSOmcZA67pnJYspcTw+8lJSmX3XhmJ+egKNTo8VWI7vO+3UAS2JDe2JDeiUCXBfzJjp79IIFiNt2kLTU0FNHkLqK7+mqKiVwBQFCcez1Biwt6RmJhheDyDUBRLtdXC4vvGMj6OYcxiYEehnyPv4qjSmtAp6W3njpLEWPgg6obBkfk9QAeMat8hrWMbNomQnIvy3qU4mhbiX5cMB2F8iFbjI9R9sbuoqGgA+iSkdtsGQAgd0cXet88oWfLZh0w5p/sKx1JK9k2bAsCa994jGJdOY/pINM0gEICqYBya6gKhoOhB0DWg63gMIxzQ7PMf2rHsZmS0Tv44HX1wJk0jKWla5F1Na4oYI01Nm6mvX0lJyVuAgRA2oqMHmgZJ659nKKoadRTGZWFh0R2W8XEMY0gZ0df476LV89HzvgmOVJnDRAkLi+nGoXksusIAXKnRh7yemjsERICgfRSOH//1oNYRNtNYkFr34277fnRvqLV6ILrKiLE7VH729Im8/cjTrJ81gvWz5hOVugV3tIvG8kRsziDJ/X00VmvYVjfTqp0atXMFUcCesf2Rbg+qIslLbiIuU6Fh3Wri1s1HdBL0bz9wc9xuR9eiYzuL63lsUxGtfhkpJTYh+NXIHPIy4zq0bXFvRe9h2slmiyEhYQIJCW01inTdh9e7naamLTQ1babJW0B5+adIGQQEUVH9w8ZI67TNMOz2uG63YWFhcWgIeXQqdx01GhsbiYuLo6GhgdjY2H/3cP6t5N41C4AR7s4n6AM/tZ4+xKdCn+JkMA53TK9tOwSgtmvoRefJpM+pCpZwzq5E1APMoq6SN6DNc9Mxe0bH6a9m/nCNlbnjTc9E+E5YCIFAQQiVskCQLKWGkS4vqlCwCYEqzDDUhkI/IypiGeE/kUxjBHpmJRgCYYT9KiIcyCkk/lALgkaK/ONAqKAIZGsApWIaQUIIpBJeJsJTEIqZQtwqDCoFfLynmjoMxvRrVSQ9ICKVtjhSIxxIKgGjogCntgwjvj9EJ0XatH8MtGicpuylv73JlLevK6SvsoQ9wz7HVxxljkcJpzYrAqFASzDAZ7VfEGNzktYnzpTGl21S/KbKvkFW/lO4Hdcw5YTfdfmpBwM+Xrh1GQDO+CIUxU6wxYXuj0c1WsgsXkLeno87rTdo9SpUT8fpnJV/fYKY55/l7et+iWG3d/oCCEBpaWB5WhpZ9iyiPB5aayXK8PHfYWhscsMYf1uQ61qXZLRPMESxmYcC86/S+T4TWMb10+d0uW8Hi2EEaW7eZRok3i1hw2QrhmF6Z1yuLGJihmHbpZFqnEzU4JE4B+ahOK1pGwsLOLTrt+X5OIZxI/B1Yyq0XdTbK1S2b9D2OqCfjk0JIdT6tnadnA6y3cLO25xDCfOit0E0TLcnkixsHZI2Ir20uwC3f89o91ozBHsbU6j0lqPrXvNC2SqBjsSsraLj0X1IvY7tIT+alJQGAm0bckCgIcRM1azIqockUtGRaquvRJjWAgK74qbJH409JBAYCCkjtokSztYQMpwMHH6tHPgY/ivGYBM6u/Z1X1wPiFT5bT2iikxEZSqiHpR6M5OnNabFbCfZr6WA2MedzsVm+qwq2ZCZTVPDayQFjketHxrpMzJOw48ivDQ5Nbwlzeb2wh9C6+dsswfJFpKQt6zb8Tqcbm56djqGEURRzKmSutVfUXLvL1H2BWj/KXtmzCD+ootwjzuuk+EBsKEyxFTA31iLYbPR1fepMDGJ9TmDWA8MDRqI8HejNQVXKIJLNTt/mzksss7NczazSdVYiWam9SKRAkqYiV8ZyvU9fSAHgaI4TE9HTD5g1uWRUqelZV/EQ9JQu4aquPUEnlqAq0ABVcXZvz/OoUNwDRlK1HFjcY0caWXaWFj0gmV8HMPcY0+g/5hkJl+Yd0T97LxrEY2p0WTfet5h9zH/5bZg02k3/ZkBeZ2Llx0stQ2VvHL9jzl7xI+47NybD3q9//vXdczRlzNEz8an+bjv1/+k5qnV2DQ7+bf9oPcOjgLavXO4KCmex26fctT7Hv9/X7A35gxif/8wALs3LaO66ipgPrVJ5Uy5oPPl1VfTQPTPn+C0i37OiEvP6rLfxsbtrFr9IQ6Xt9cxtBoeAOVX3YoKqD88Hv3VVeh9FIbMW4nN1fO0U2mLeeF98O5bULqp5fLM9lIWlFZyd2oyt+Zn9jougKdO71ra/9SFnyLsRxrN0zVCqERHDyA6egBpaefiLS5gxY5zSLrhOpLTTsW/dRv+bVsJbNtO09x5SJ8P58CBxF96KXHnnYv6P+69tbDoDsv4OIaRHJ2AUzj8jnxBH/t3b2Wruoshal+26ftxuzrf7R4KajjdUfaQDXEgdfVVLPeuBTc8e97LJCWZapnVclXvemNHkZAE+9EquHMAAmiuN707WzY9TEXZQrCBXUvB1k2KcNsx7H5MDlsKAE5x6HV5ymOjifKMwbhhGNKAlU/93azyqxsgJdIwwlWQdTAMpGEwtLaYkngPg3voNztcLC/VduSKpb6QTn2wjg8WPhqeKWtVHpFtU1vhKs3ma3O50RRiqNuBx6Z2Fntrh5QSozGIGuMg5K8GJwi7A/eoUbhHjWprp+s0L1tO/bvvUvHww1Q+9hixZ5xB/GWX4h492vKGWFi0wzI+jmVk+6mQw0dweLZHeVUJp37RVvtjm74fALs4sq9NR5n23nll3pM8s/dl/G6doTKHxMS2zA6zUu33d1LfpWvsKqvjoe+gb6eq4EowPQXlVc+DDULeLFx2Oy3OnV2uI8MiYz3VdrE7zSq8uh7otk2X6/3mctbOWgWLv0YYrblJ4Smd1umRyLK2CcCQqlDUN5Wpuk53NWxbTY7KhgYgrZtWB4c3aKePw4fL//KhreiCKgn1oZ6/PzLclhCgSpQmUAKdDXChqnimTsEzdQqhykoaPvyI+vfeo+Hjj3EOGmR6Q849x/KGWFhgGR/HPkfhuurAvGM/VArKO1dmFQbYelCuPBiUiO5G78bHqq0LebzoBYbKbP5wyl8YnNnx7l0erXzkQ2Co57spC2+zKZHUV8N7IlIp4ZTpn7Ng5VBzma6hHHDsIwZcD4dAUZwYukCXbdMuhmGwe+MX+L116JqOoWsYuo40dAzDwNA0fOFNTfvBDEaf+COEzYaw2UBVEaoKitKl4ffavz6k6rOX0XoYVFRDLaJF4yG9ib2z5/Onk6ficR6eTLrPSKcskMnMsw5+Cg9gxF1fcN2QNG75UfcFFWve2oZvQxX2TA+pvxiDf8c+9p57Ju7fp/fYtz0lhT4/u4Gk669j18uv0/L8swTuv5+K++8navp0POddQMKp03stCGhh8d+KZXwcg+xaVcDi95bTWNXMhlqVpqpkjGCQGOJITswLZ2uYWR+rWE2lq55WIfO2TAcwwnLm13AcMaVeql9rZ0yE3dHN5dX44nxmNOUBFMgdHHjrqkqFOR9/jM1u6yDH3lqrRCKp9JXjiNIQillHRYkEk5peDy1kimZpeg/iWVqI5778C6+Wv0+c4eKmkx5j1o5qZu1YGBm/QBJKcuOxxbJu8R6zBl74ZK4Ic0yBxkZGNjYQq9oQqooQChFts7BLyBx6uwjR1mmVyDIRycbIQBAyDN5aUYhEYoRV3E3J9rYMF6M164TW50SWG63taVtXAtWGDjU+3vxsO2VVaagxVdR++yblzUNR/Yn4P9pByAgQH6wmI8aBzWXH39xsDrWHi5gQAt1nR3PURZYV71jEpw8+2+06rSh2nYT+g7AlJPTaNrK98ONrs3bgdrnC+0jkeymBLYWFOCp1hufW806/QXzx5WJeGJTJifk9TdZA3dp1zF+wBNvo0eGPShAy7NR4/bz1+hzOPm8qMbGHngrdFb5ttfg2VGFLdpN8U3h6JbwPzUtWIwNB83cjFKJGD8U9Ig9/o5fKkgr2bdxBqMlLcM6X5G5a1kHcrmX+fFrmz+fhaT/m3HPPZ/KMfigu61Rs8b+F9Y0/xvj65X+wfs6syOtQC2yaZz4XCC7J/VXkbrPaVs9fBj4IPlANm9lCtrZsfRT8gNHYUPEX1Hbang2FqFpnWxXbdkxyDOSdfnHU2xqQwoEwDOJCcWwrq6D7hF3zKu0s3Ira4u1479uaWRJeWiK6zxi58fUrWa5spa9M4qHTHmXmbi8BNabDZgAYHdZeCDV23ZEKt1TauGZfCNNvfvhIoA5JaUuQuz/adER9dUejCr9ZsguYGv4DuDH8uBeALF8JF5R/2mE9p6fnC26oxY63pYqiHQsAhcoi0xCdfsO55ORPRVFsqDY7QrVhs9kQqh1FUVAUBzbbocX41O1oAOCvq/ehKd0HggpgxMKvGL3qKz499TKuKqxj3JZ3mBovGJ8/gKDUCBqSE9JHEW03p44+eOdD7j3jorZOJOABtSbI3ds0Xl77AXP/ds1Bj7Unh2DDrD0gIPnGUREPhZoQC4oN77w38c57M9JWScpm29gJDJr7PgDJrcfCFcvOa27h+LNPAo+Hqi07KN9XgtLSzLdVKdgX7aPfiiqixqbgmZSO/TA0ZCws/hM5IuPjoYce4u677+bWW2/l8ccfjyxftmwZ99xzDytWrEBVVUaPHs2cOXNwu91HOt7/aurKSlg/ZxYTL7qC8lXb2Fe4DoC0xP70G34c+WeeQlxOuhnsp0t2b1sAm+CGvj/h5pNu67bfE1+awsy6EznTOQmncKG4bSgeO851UBcoZ8TfLulyvRO+Wsm18o/88fTpALy+fDW7Z3/OdXfcQWZc1/PWn236jDUfrCH2qhO5afpNXbZpDDQy5e0pjFJjWbBiDiBobPayr6aIrH45KIpCkbqVmd4+/GTyzYjGIgJqPwBeGuhEomIgiLZHMblPelulVWkgdYk02oIK85dupDGpkrjzJ2FoGroWlq0Kx0rIdjnAUrZ/bBXooF3esCT61WIGxju46cIp4XRaU29DAKpoK9amiPByIVBb2wkwnUHh5+3aKQhA4lIEqqIgkag2HVVxmN6asBPmwt++ht0I8eNHnkP3B9H8QYRQSB42oNvPH6B4cSotVRoFHz3SYXlC2gCS0vJ7XPdQGZgWQ8F2mHPdZDwJpuGihI9Fa7mANQVVbFu7DlEdTailgZ9s+DtrpkxhS9JIlops2AGtkSH3eBfwi3wz9ij31BkAvBkrGJiaEk7NltgGpDF52xp2OpNYt2gdY04Y0+s4JRLZonX7vlblQ41zoEa1GVD2lCQGLl1KYF8pda++T/PSeRgN5Rg1RfSbV0rZoNEEppzEsDNPIrZPHIP7JKI42qaT0vtnR4Tafv+bL3GkROPJz6B5ZTnNy8tw9o8jelI67vwks5ighcV/KYdtfKxatYrnnnuOkSM7plwuW7aMM844g7vvvpu///3v2Gw2NmzYYM1ttsPQdaqL9qOoKklZbdU3ty1dCEIwaMwkln/wFm7VQ0gGaWquZee65ezduAbV7sDticEdHYfP8DOEGIYPG9rj9mRYSyK2OJqA7sOmqNhbP4548wRf1+Jj8b796LqBpmvohoGuqtiMNt9Fq1KmrYfPMic2hzWsoW9s3x723+xnQ9Mmbt72fx3ecxVIzogL8assDSiksPbXAAzkAXaKIfxkZ/ugyWZ+l7Ka07PGMiAuG1A6fKNbNB1dtRHvthOTlszRQKgrSXUanD7syIIkD4fGlkYS3XZqNCcJOQeXntpKoCEaV6ydU2+8GhmuA+NwRZMz5OSjPk53uMR9anI0nviuZcpPnZzNqZOzqSoZzbo1t6N6tjOC7YRaHMSlPYjMHEiU3ckZm7z49Tb/hMvtgiD0iY8jO6tj3MW4lhJWR2WyZUfxQRkfAFplS5fLW6eI9IYggcJGnDmmsW0EQlQ8/ByNH73UoX15YgZ9n3+ekcN7NgLbYwCKQyXutFxip+fg21KNd1kZtW9sw5biJmZqFq78RLzLygjub8Q1MIHoSekgQa/zY+vjRtis86rFfyaHZXx4vV6uvPJKXnjhBe6///4O791+++3ccsst3HXXXZFlgwf3PI/7v8TOlUuZ9+IztDTUA5CYmc2giVNIysxm1acfkjFwCKLKQCDw6V76Z4/FE5uIr6URTQuiBQLUV5VTXrqLgO5nopZI8/iKHrcZlH5qE6rJ/T/zrlHXQgRb/AhDkhF2198+byGzYw6oD6KopDjbgj5ajQ97D8aHLZwJo4ruUyhlo1mr5LLA1Rw/9jQa6hbR0Pg6ij+O3PQ9AHibB9PfnQW2Fuz2FJ5W91Cv1EMoQGPVEmpdPu5y3McfK/vyWe1avjwhm6amJkqqqmhGYAhBZZMpuR10Hr0A0a4F2r57yuvKmfLwSnRSmGzr/m69OwQqUTFJDBp77ncwuo60Xrg/f3ce9d56DEMSH5fAZdeejdoutXbjijcpr30Y1eMlc+3tOJtyECg4ThNkpA8j0FRHaqDSVKUNo4Wf2/SOkvOb12xldVQmZxtlXHHV1WjBEDZH79ofjpyYXttUPbMBgLTfTKDx8/kdDI+deWNwTzuJk275EfZDDJiVsl14kU0halQKUaNSCBY1UffJLuo+3gkftrUP7Kqn4cu9HfpwDUlEzXbT6KojZ9KYDrE/dWUlbF28gFGnnkldeSnrS9eyPmo/H+z8gKkZU5mQPoGr8q86pDFbWBwtDsv4uOmmm5g5cyannHJKB+OjsrKSFStWcOWVVzJ58mR2797NkCFDeOCBB5g6dWqXfQUCAQLtlCsbG7uZu/8voKWxgdnP/I2MwflMOP8SQoEABQvns/6rL/A3NWJ3ujj5R9eT1G8AP0l4FiXKRkzf7guG7di3kc/u/A2Ku2etBIlEdbWdiFWbHXdsxxOzV9NJq6vglVF52Gw2VNWGy26nf2pKpI3eQ42QVlq9OEYPVVm8dvPi9HxmIk81AbYTIPEErjOeJhfT+PBEb6eS7ebt4QEZou5YyASe4qc8zV2UaikM/WgudfFdezeyY45Ml6Q9IdTvTOejJ/aWbUBHJRnB9ICPF2/5KT998sVD6OHopG0fDC1B0+jbVrwaoWk4GpppSYrnmy8UTjn3HAD2bV9FVfNvEcHJjDnuXlq+qoys71tYQqH/PZS5acwCFk1zQDjJKWTogB27veOpSxECux7iczWdz39vBknNu2Yoefn9ux2nBJRupjaEECTfNJpQqZf6j3YBUP7nFQT3roq02THqBM575/lDOTSdtt9VppYjO4bUm8egN4doXl6G4rYRKGwksLMeR99YXIPiUZw2at/Zjn9bLXtXbWJl9RfkLZvIef93L2B6Vz997M9UF+1n2fttsSkfnFaIZpPsa9zHt8XfMiljEoY0KG8uZ1LGJGyKFQZo8f1wyN+0t99+m7Vr17Jq1apO7+3ZY1447rvvPh599FFGjx7Na6+9xowZM9i8eTMDBw7stM6DDz7IH/7wh8MY+rFNg88Mboxzmxd5b10tr915K0Gfj/yzL0GPTsDl9nPCRRcx4cKL2FOzl6S4VEI2QWn5HpQ4Ban5KV21G3eUB9Vmi0iXt9YfqS4274K2VOxFbltFUowbu6JgF83YFRCKiipsGBjoVXVsX7aI6PiE1k4iY1WEQp0hafHEkJ/TF6e9669FKFyBtHRXBf6EaES4zoiitMYuCLyNZvZFi89HbVN9RJ9chDNJBILtVaWtWyY1oFPhNI2ZF5SbuPiRhUQPb0EYufgWVaE0g5YqkSqosXbsPzid4viPzWNLI/GynP16Jt74BPKqirm+fyYeIVClgS4l4/L6kxUbi2Ho4diJI7sA1ykevqmRNPhC7ZJhRActldaYjtbDHAn/PaB9ZNlBjCk1IZks2x7KNTcfKZJfHzf5kMZt6Dr2o+gBMmNiDDA0MHSQevjRAMW8gchwRdO0YTEANu8UyqI28KXxJBjR2DzbEYrKyTNfRjYGaaESGRuAJhVnQybMbdtUjC+ZWn8IuxC0hHRUQ6I2NhGqqTWzlew2hgzty7unlnHB/LZplD3rt5I5MLMtqFSCgoK3JcDXG/fQDGi6jhZsC0SWUprS94aCPcVt/uXFUvPiFoy6AN7cE/gkNpnUvFiuvvkCQrqBYWgIoXb6HFsF2NovF+E6Qq3bwte9F0uNthM7IwcAz+SMTu87B8YjHCqbH1oB1bBr1XLeuOcO+o0+jl2rV1BdtJ/Jl15JXWkJa6vX495Wz7PT/8H43Mn4dT/nfXwe539yfqS/AXEDOKXvKVw86GLSotPY37iffxX8ixOyTmBq5tRI1pqFxdHgkArLFRUVMW7cOObOnRuJ9TjppJMYPXo0jz/+OEuXLmXKlCncfffd/PnPf46sN3LkSGbOnMmDDz7Yqc+uPB/Z2dn/sYXlNN3gya938sy3u9EMyZC0GCb2T8Lx3v04g91X3jwSPjqhlIaYnjM5fvRF9zEYAI/87H4mbVzDwOoKLj9jBoqqkpGbQ0pam+fjsZdeoalo/0GN6Zv0b6h1dc6uaU99yl2EXG21O1ID1axdeBGqA7xlTooWJHW5nkSiZUhCGZInx9zInLFm3IIwDH75/O96vb83s15b5bFMiyDR0cJP+5sGddDo2rMjESypzmVtXSb+A0rFt/2Iwv2K9q9luHaM+aeE8273R/VldsppHdYUHXppWxYR8JKSLH8xF1V0LKJmIJFSdHJu2AgihEEovE92xZyu6Pyrb5ML01Eix6dzOkhr3RjZ7XE297LjUJxxNxLXfy2Bur44YspJHDIbp6Mfp577EkZQp/R3Swmk7GfAHVchDYnu91G3dSP1H4Zw91KM+GHZwld6C4o08NkPzcCaYtvDQFtN2zjL9uOoryIrajBTUs8HoFzU87lzDQCVuocvQj3HWB0K49Uy/nXPVTiiDt8wfOyyc+gqbycldwBX/vmvKKrKqx8/SvVb3yLzU/i/35tibJurN/NawWvYFTvHpx3PezveY0v1FnSpkxqVSkVL23Ru/7j+/Or4XzE1s2sPtoUFHFphuUMyPj7++GMuuOCCDm53XdfDd78K27dvJy8vj9dff52rrmqbS7zsssuw2Wy88cYbR3XwxyL3fLSJN1cW8ouT88jtE82y3TWs2ldLZUUVx3s3ce6Z01AUQbC2kAmb7qMufSrOtL5ErXuDAoeD/WlDcSYPJjZpIFXFhbTMWU/GpHH0zx3W6YohkTTSwqdffUGTM5ZpP7gGf6gRR+Md+EU+Q/vPRBo6RVs34Zu7H1+N4IQf/Kh15UgfAMts0Zz+f7/s0H95WgbZ/3jGbCclTc0tPL10LcUxSfw2KxsjnBVimCVckRhICev3b6aotIHc4UnE9YluTRSJZJLohsJ7zWVM8pUwceiJKKFmYvZ9w2StDCo2QUs19D8Jf1EdetFW6mIHEJNzMhg6/tVvUO6PoyVpCrblq/C6Y1g/KJ+l0y5kcLSkv6/ZzGIwWjVPTBlwI5LdYtD2lY8IUOAKVvPjhj9R5hiIljq+w7EhbDggDZat2EmDEYNz/AWmvDjt9Cs69NuWcQNgprQokefedasw/C0knnlHmwR4+/a0LgvrgITb+FqaSGkpop+97Y5549pSAoaN5Fg7nn5xZnVYCXLfUrKMRfjj8tnX6MLjcZGVmRhx0UT0TVrNBCEwCj5hn2MI9kEz2i1vfTCfbN+8hixRRf7I0SBM7RTThaOAUAjpkr37i9lfsA8Ae/R5JPZXaSjOjYxZsbdw/i8Hkp5rxoPt++Mn6PGNaCefRo2mM3mMeae/Y2sldRXN6BJ0KdEMA2d1FYNDAZAG1QU2lroD+NMCvFtUwV6tcyDwxGFVGBU1OBoc5A3OIzY6lvgoB9mGQbTfj9rOM7HwvcdRNDMmKTt6MMdnnItfD9Iw3o4hJZqhs7pREoq2I5F4m7bgdJnenaSkM7DZzLT1uvpdBAPbsNuvxeGIpv1ptvV7VbuzHOnbzt0//zlxqYmdxn2wVO3ay2v3/IKhA0/gzD/9Gn+zF1e0p4PHpdnXxFM/uQwtw8M9j77bbV/lzeXcu+RebIqN8WnjOTXnVEqbS/nHhn+wpsI0wK4bcR1X5V+Fx+5hc/VmlpUto95fz+3H3U6UvesAY4v/Db6zqrYzZsxg06aO+gbXXnstQ4YM4c4776R///5kZGSwffv2Dm127NjBmWeeeSib+o+ixhtg8a5qlu+p5a2VhVxyXBZ3nGaeVC8cmwWAbkhU5dLIOpXrviBlbz1K31xyLn6ApcFlnLV/LdRWUty8kqwrytm4dRlz56wnZcJIJky6sNvtL/lqHckiih+Pn4ZhGHzz7W1Ui7HMGBQuRDYE3t56JU2uJsafd3GXfUwA1jz+GLaqapyvvs7WTz5nyFuvE7rg/EgbN/B/QEViMlOXLux2PKEXY3DWVHJK/6EMntC1EuS5bz9I6t5n0a98ENWmwOJfg69NBItxP8E3QSXhrR9wU1oNhusrLu9/DoMaDKJdOYz61QsEWpqZ9bs/w6ZifpmfysQJo7sdU2/46irgiT9ROPoXTDjrh922W75uJulRTs7+2Y8Pe1sAn/+yhMrQPn54xaEX6PMGNfKWbObBLU8zZK8N3XEJNuAHT07v0K76mQX0qSylavqjTDlx5kH17b/vJRLz+tL/qq7TpAGe+tP/kZicyqgfdz9dehww78m32LFDIrU0GorN5X3HVjL1wsm8/5cVfPr4Nk75aT0Dhk8gEBUiujQX5xs7iAbem7+f3CYdwyY47q5J2DpkdbQVWqy+ayFpmcmc+dPR3CANPti4gTWFFby9pM1dcv3EyVRXrKdgXgHXnXkhMVFJ7K2qZmR2ZuQC7dc0appbEO8ZRCWm0lJbQVHzdpobannqtCQSolxcl9WHywb358Rwv2vWvkh9/d8AMIxzOfWUH0W2uXbdc9TVvcbx454kNrbrWKTNX6/m/UVbIhL5h0tyXj/i3Ckoqjmt6PZ0DqKNdscQ7BuDDPYcrJwWncaLp3WMJcqOzWZc6jieWv8UL256kRc2vcALm16IvO/QXMT6+1BWWMvQ2olE70vHFe2g36g+jDk1B4fbiiOx6MwhfStiYmIYPryjvHV0dDRJSUmR5b/61a/4/e9/z6hRoxg9ejSvvvoq27Zt4/333z96o/43UxvSeL6ois3ljcwvqkWt8IEOIHFnRdOc4OBv6wu5aUQWjnBAm3pAkKIRY16UvQlD0LUAHm81FapKqq5Tm9SPLMBmN137eqjnE4Zq11Bi9vP652cTYyshxgE29YAgy9bb4R4w4uMINTczavRIcocMYvO0EyMS6K0n6eDTL9Nny+oe+0nO9rBrdSWOHlQb44veC48rvCDUYt45n/Ok+XrI2bTsX0ACcHJCPl817uTOvR9ATh9mtjTyEOCMisZz/iU8YSth0pHGM7T3BvSAbnT+LA+HUIMPevhYDcOgcuscyvd+QZO6DqloIBUEgnUyH6c2Eu/6Gay1pXS5ft3qb+lTaaZKGI64gx6XFAqyB+VZCE8kHYTD1NlUi03vx/RrBfv2luGJTWDiWZcDcOldbj56fC5z/lHHxEvmUBNVzlDM4OrGtGXo2hRiNInHL1n29R5OOL3rys4OoHWWTBEKl4wawyWj4ON1r6GF3DxxRT7TBw7ijQrzpunZp19CDQdOv+uKQk9IRFRX4gyZ3g6PYRBIy4Zac8qhyVtKv/1pLB7m4Nf7q/l4/jdck5vB2LFjiY0ZQnl5Oi5XGbo+G017BJvN/M4XFRXh8dCleF/kOLaWGTiEAovdIaXRljrTbaPD719VVG4efTOTMyaTHZPNvP3zaAo1MS1rGt/cU96hbTNBUvrGsn5uIau/2EdyTgz5U9IZOjUD1dIusQhz1E3S2267Db/fz+23305tbS2jRo1i7ty5DBhw8Pnvxyp1IY2/7C3nlZJ2ypwpboyUNvG0EPAhAagLELfTxo+HdA4UAyDsntTssQQCjYysKQRg+cjzGD7dzCByhguChYL+Hsc15Xxz/r/Kl021cQrCNYALJl7XoY2iiN5sD4TDAeEURpfLxbiTOs/vbvxqDRSs67EfZ5RpNPVUuqUp9VSce3a3LTB0SB0GY6+OLNI0c78nDb2Ua4ZfwZvL/sJDu96g0J0baRMRDTtiWk/cvRhouoFyFCqxCqeCorefvgzhrdlOwFtFsLGKkpJ38LrXYyeZmNBY7CIehEQKg5MVySuVLxBsysGVcAcgufz6aCoWzyN6wAj0sq0kfH4eNXo/gmc8RdqEKQc9LgMF0VvNHdG78RH0eqmocpGe3EjehLPIm9Dx/djEZC6/+3w+efoDlr2dTvLILXx66hcMFqbXtJmvOEd7hNeXNdPvmzKCyQ2g2vGv3oTh13D2T0RvCmEnGUPvrNWhCBiY1czMfDOmaI0OsUCTJ5qoxFTsUVEEiouQfj8kJpMzeAieKBeVW1ejF7QZ18KWxvSNXq4a1ML6pYsAWFFRxIoVKwDo0yePofllCDEuYngAREeZKeyqrftTbKTGkXY0jA+JovT8vSymLzahkTvvKwQGCgYKklynxg19++NWBSPjUsj2dG3QqorK8WnHAxBjjOafizbyprYKj1rF2Pp1ZB93EsNGjyBpkxOCGhmZUdSXt0BlM/Ff7qXsy724Rybj6BuDZ1IG4t+QNWZx7HDExse3337badldd93VQefjv4GtXh8z1+7EkJKfZvVhcLSLqzP60BQM4dckmjQwhUcl66uauKGwlG/21+I2RCSUr1UoE0CvruEyI4OYvXtobqxjV/NVbBuRSVLONFbvKUVVK6hvrMJtz0TbVkexe4PpCVEVFEWYdUpUpcMP+Ozj/oLN5kAIlVD9jvBcvA2hKEgjgK5JKqqLURQVVVFRhBJ21arYVBs6ErthoPkbkVJDSj38aCCljlBsZl0UQ0fTdIQUZgyHbhAMBM2gR93A52sBoeOrbqG5Mlx7pH38gBD4RQ5S2hGGDg2FZtZERscCX8GQua7dEUWpv4GH989ncOUJ5FadxIt3fESgJQqw8yuOgnJu6/x4LxdV3TBQbYdXAK09MsrA0Lxsnf9HGgIrabHtQaptgdeqPYa86PvInnZlJB3UMAy89dW4PDHE/G449mgfKfYdXJJ0J4TV1rW5DmzCvIvn0tdIH3Fo0zoS0avxIRA9WpbLX1vImqUa0I+Tp7QZBkG/1sEb5nRHcfHtP2DOa2+zZ8UlBJc+gnGNQLFJovHSZBc8MtTFHzd54d2W8Lb7IJQQ3qI4QGc/OitqKjmniz3R201njMtK48F+9/H4ae8yI30ohm4Q1HSCIYNA0CCkaTT7gnxti6dZq2/rxWjk0rQ/0GfpfjZpN6Pb7MTgJYidAE4cTh+aNo5TT3mlw9bj4uJpbGr3ve/qOB5lz0dP9X0ARPi7PczlRwd0KQgYBgWBeG7ebd50qNomTo31clveGEYn5XTZz9J9e7j1jV0gwx61mD6sO+dkCGetmRKugkeLv2a8dzQy1OaF9W2swrexCntqFK68g68XZPHfhzUZ1wvL6r08vKeM5Q3NJDtsvDAsl4nxbT+mGIedmAOuRT5dh0L4dlM5i77pOjsklmZO4knsW10EgER1AMZKjW1L24tauMBzGVl7VShu7NZLHzNiPE3pK1lRcEW3+xHQU2ipSuJfN/2s2zYDy2oZ6G1h5+gJ3bapSJ/K9mlPsODmBZFlEokvupjmmHYCSKkg5hvUfd1dANpISnmNtGAAdoXzKgfMQBo6DbtWEj9wIsv2zWMgEBQKL239AhkqY3Dtr8loVMBdjjs6gK/ZvEszgt2f5L0BjTP/+DVNmt5BMT2ExI7gtR+OY2hm611jL8aHLlHtR258BJylBJ1llGsb8QRHkSF+SFziaKJis7BFxeBKTUW1OTus89wt88kUKtkOhSfoi0gEm6jr0CZieACxn/yE0Cfh/WqN+I380fa8XaCsR3qpaGnroytCqkGpKGTpF/0gnNkSSY4REOzjIu8cJwhJEVD4+X1Iw4ahOanbOYOGfZOxueuwR9USaMjECJlTkA7Pr9gRFtXy1/2VX2FqVswGFiRNZWfsYHO8BkiqAYkfJ6d593Pfffehy9Z8IrgAoELnnj/cY6Z4S7jKuJyUvxezT1Zj6+JjdgNnZ9/A0spPcKavZpixkzznosj718R+RmpLGR/sHUq5PxaHQyFY7mPfFpWX554TCbwVQkELNWKPTmfC8d2n6mgB07O394VFVGKn08Rf+KN5FJVauwMUpV0pgfYBrHCqUc/GjXOpui6cBdXFz2Fgg2mcPD31rx2W1wW8fFWxl/mlm/jEl8/sliRmb6wFajlt5xek+GsRiplUoKgK80qzQOYCYFcl2BrQ1PRO56dFmc2kZ95MctNFDDj9t9hcMZQ/sgolxoEz9+CnAi3+O7GMjx6YV9PIjzbtYVRMFH8dnM3FaQk4DkIm3u00tT2mT83h0pSEiCpma/qhFIL6YAhe3kXdIIWEHeadjyYlx1/bB1eMC83QCTWFWP1qNbK/B9eUeLRAEGkYGLph1ncxDKQhSV5wNkmlGcSf0RekEc7w0JGEH6VBXOo7eIP1VE+4FSkN825LSgzDbC8NgyW75jC/RuFnw09GkQqqML0iqlBRpIKuN1G2MR98MHhiGooCUgq2rSnEFormhONOQwhBfU0VG/eupSXLhbtvWAb8gJO9LNiKoy6Wp/7yABeKj8gGqj75LcnvXUM8UKWmc41eBsAXb87HVd3ElXV9iYk1j7+/xUzDbXVY3LDoUeTm9eE7zY6JqhINmRtFZsUvGJmUgyJMUapqb4B5VQ1c+Noq4mQzG9wQaO584S15/c+493yEXTaha5mEQkc+b63GCkSji5NmbDjoGh6xySp5XhWXgBpF4op2gkhjt+9ukuJLcLoMlJZdCBnAiMpDENbfiByoVu9Ta5XhdgIsCLRAiDVN8UhlPD1NkhoOO9hcpHgmRD5XEc7wab3Tr66PRY/pG95WCF0LUF2+g/TjXyX9+FcjfbVUDkKpfYiN23YSG+w+4yPLGeSCEc3t9sVkjzdEVU0sBBpJHHgcQjG9cc2hZtxR9UQ5DXRDh2qd6pI6Coe4caakIlSBalMQdgWbqqDaFGw2hbR3dnP6jDHEXfkoABv/NpBAfDZun53hlcsBqA1GYbcZ5J04iKAvQNAXMLVCWn97GARbFGq3axha96fYwnBxv+ZAA1ExfcJGXMekbZ8h+TZgZ4QwyI12R3a/vXYMwJg+pdSF4nDHt5syOcCLVxATR8OQIZ3GkeD0cFnOCC7LGUHq4lU8H2oTIIxWo4jCjwyFs8cMiRY0A2hPG1hDQA+SmF1HKFTCgtLXI+tleg0uHWoaV1UxH7D+zTJSN05BuPpilIYof+Bj4i+8EPeIEd0eH4v/bizjoxsKvD6u27yXU5JieWFYv0NStQyGf/QDkz3M7N91pHtpsx8DaGysIwHzLsCQEKoWDB2YTUyim0BTgNVU40yJpc/o7i8HNWs2YfjGkDSie6nkbWvmkeIuZNwpP0JiENADeENe4p2xxDpjUITCYwtGU2ok8XY3fahoqDmSxHrBmvMGReazdxTswS2jmHGOKXxVVLCXjXvXkjQhjX7julaY3K7U4FjkZ2hOGnW+CaTXzCI52OYlStbLqHFmscOeToM3HuFRqBk5mphqLzEhB4lJpsGmGxo7/BKPazfCiGVEyhlt6anhO/uaQBG7fAu5cUo8F5w8PrINwzB4+dMdVNb7MFrqoRKy7Z0lufvsfga/7qE+5TTqt+7B3tS7JHdveJu3oxuuQyoeduXvT6b4LvNO/PiHTmz3zsQjHo/mD/HiX/5ONX25dvIpPbaVisDuTifvxIe6bdPVpy4NScGaT2lpLiE6NoN9hY/gjG1gj1qAe3MCz066FYAfNjTyy5r6yHr7ZTq5f/y82209/9HXlG4o5sZLT8fVjaT63hXbeG3/6+T1i2LAhFxUu62tOvTWPVRu3c3Q82ZQ8s5uqGskuHoFEhsDT/yQQFwVzqRUqjUXSUn9iPnJWfTtm8zJ1/21y20BfPXW62z6+J1uFVQBXHFmXEjGD8Yw5LhxXbapbfDCgws4e7idGy49scs2AOX31bM360Qm/fRv3bZ5dfYHOI2eY6QkoBg6pTOOMxecPLpTm6R3n+DJtXlsKpVUKZW4nW9F3rPr6Vw1+Hr2zX+XtNs30nTRAPQRtdjKJKi5QDTCYVD//qfUv/U2A5ctxZZgTb/8L2IZH93wfFEVAP/Izz1kOe1gawG2HlaTmmmgOMaNwAg2oHzVgFsRrP+sivWfVaFGa1x5V6uKZc9TAWYiS88XsWt2/8p88vuvu22j9fdAWIQ2Xzai17VwYjakxwgMKQkZBl9uc7IxKYm/3zoPW1hAC92Js09bhoQRDM8fO7r/epWWVzKQWCaefQ2xqeZFp6GogLK1s0nPn0Rs/+NJUm1MAhbc9zti4pP4/Q23dNvf/GcfJk0k89y5v+r03ubSrVwxd2En5VZFUbh8Wi6bFpag2RX2FR6Hy945aE+VQRr6X03OtffA4rOpLt/dqc2hogVtVIb6cNajLwEyonzZ6pVRhURVZPh1+FGR2MnhnD4+so54BB355t3ZVBuNXDhpJn1HdZ1ZEkEaCA596kkogmHHn4emhfj22+E4YzX0ljz0r1MJemr5ecYdtCTUsXbPPETtEgIyneXKFD4ODqT7S2pbJlZP4Tr7Fi7Hs3MDn+/cAE+ZyzzOBBw2N7XNpuKuJ1ZBxaCpeDhN7weBIC0Jayg6/mEoDHcUBCUvhWBzfI/7KsPnANFDEKgnoQ8A9qjutTFC4SKMvWVYmZNNvcV89Pg2AFXV1YiYrgNOWxmTUspz05/htFO38cnaT/jdZrhp8KlcP+GxyGexX3rwvvlLRNMAJp37KcoFKkZIp+mbtVQ//VcItRA1aaJlePwPYxkfBxAyJE8XVvB2eS0nxHko9/rpG+M6pKq8xX7zQrzd20OWSrhSp1QFMQPSaaaBuOEtpGSlsmlWHXqzjVf/sBiBo/e0RhUwej459XPVsNefxFXTDJSwzLjb5qYp4GPxDi9C9VG5u4Xrlr7J05f8kIKoWEiMZdjOWv50ZZt+RH3JIjYCSUNtOGmLJ8if2CadH9hvymvLQPeBdFEx5l1fa4VbgLjsfOKyO5d3l1L2Gkx3oIx1ezTNNIZsauev+9evbqV4mxk3sZF7mVZfSxpg6BpSQvWqpaSKACKsnCkUFxmDj1zlsTo4lHq/pKA6jZP6VUYE0Qwp0aXEkGAYgpAhMKT5p0vYRYh4EcX5RzyCjmgB8444Krp3kShNA3sPhmVvKEJFKBoYULjlTJz+OuJP93HemDPw1VVzfr9xbF/dxP7BTawM9GN5cc9KuUprPaEegmAbFfNmIn/8aSTHZ6C1+GmsqSQU8pPlymfj5nl88/b7XH7rjxAhA+xRCEKU7TcDXYe6rwTRwlY+wpPewtDBl/HNxzeh2jT6DryY2MRcEpLbfgNtxkf339uIWnkP49YP0vhQerlBCW+o11zyQCAAvZRCMowt2GwaQgjOP+58/rL1d+xt2Nvh9xc3cjxfTXqAYFMsq29aQGKolPHT4hHvv4BWXEzOKy8TPWnSQYzZ4r8Vy/g4gOwFGyLPFzV4mbR2B8frCh9PH27WLzmIOhxx4Xr1me6u7w6lYSADZmyB6g3SVONHAZIy4hl1+mgmnw7P3joPRTPX9wXMmipBv4bd2bmGhAjHXvTEtKQgzopy7j/zJ53fPAuKWwIsvehqhu/dTGn2lcwbrVGWaOPDjET+VF9JUnguOTkpDpoMzvjRJJLDFXE74Qxrmzi7/3olJSUCDQd1N2ZW/+zF+ECaAX9doIV1UmxdeDVaT8aX/noY7/5lC0Lzsuu+48ljBwCpgE8mEDvOnIoQiqNXQ+hg2FPnxkMz2/54Ci6Hs/cVwpxy7xzstm6O+yHQOn9PSGJoOitKzO+9muigsqy0fUPzMawTIwBNU3B0U//nYFBUBZv/KqI/fIspi58zFy6HIsySDEpcNkpsBkMvvYvNi+vwGgaFOws7jEe2Sx3zNnjxq352V+wm2uXEpthQUCIZXTbFRuygAbByAYPOnM6A/OEciPPxaFYt+4TVXxcw5bZr28Ya3AMNkJh/C664Pix7aR5xuU1srb8LNUbDELCrZB76XoUZp25BVVvTzA0zxquH80WkCGMPv4HyRvMGZldDzxkxydQSaljRY5vwVnt8Nz09A9FzvDGwFYAHFt7M23vNwPNZ5btIXnQjJ/c7jzGZp9Pk9xN0xJKQVIe9xUYlGcxeChPtaQx/51GcXdT5svjfwjI+DiDNISgPmmeD8+T7fCIuZpVqkLlgIwDxso5H+QVufJF1dmyfRHHVYBBh56eUXKPaGBm1Dq93IYqUKBioUkeVZm59n1Ae1TxO6tdlkX6WrV7OZ2vNzA8l0YnLl4Yi7bRsqaf4rqZIlkZ4siOCSn/qg1W8c8WZZu0QAUJIFEyXvRCwP28s27Up5N/7vvmeCNcaCbv06/wxDMo5mT9UlZNbpXHl0gr+NjMFXdg5aeFWooLrEVKyr48pBPXEU0/h1sMX9eoybA21Ee9Qg64yN+FElr5VgPP9XZGia62hjQoCI6ARh+Avwe5PqsV7dvHO668RhG41AYKlXgyfFjY+evZ82NtpLughncKttdQUewHwxJvBfLatH5Dn3kHQcFESHEHcObeTMOFU3JH0WkHpjpU8+7M7Wl/SumdtcuWtMuqty82dF0IxFciFwgBfBV6b55AMDzA/9221LTz32npsikA1DOLq93OSaEaGNGRQYoRAagrScKCH3BjEAd27/4NoENZoe/Xd3ksggJOm8prem/XACSffxfY7Ost8e2Y+GfEy8X4VlwKjiebElzZ1attKumcD3pxZzPp2VrdtkuodnEM6dc3VXb7vDktBZ47pGAApwwG7ijCP39ARt7Nv/3O4nJkMH3w3W4u3sHDXLDaW5HPXgs/IsPkRWoBgYwPRCRP4eQ9ey8j3tYc2ariJu6c5XMCnjye6No+G5//VIaFJturyC4mWksyuqDjunbe1Y0FE2n6fqwMS7JK5r34aDjY3mLLvJurSJuNLGAiqg6iKbOwxe3lbW9BhDK/uWcQ/9yzmD0PXg5YK9CX59AymT5rAc7d8i5SQ94/HcKYcvSrTFv+5WMZHOwxD46WYl/i2upRybTLD7ZmMdmykJTqR+tpPkAiiacKNjwbPqQSbPSTLjxg0eBnBlJOwB/eh6I3IYACtJUi8LY6Ng28DoYKimDoZQoBiw1O8G9c776LEuGiyJbEtOR89mML4SWPDdTwkIb9OaHMtNVmZ+PISqChsotQboCZWRVdEpHhZduluEncuZMqJI9uyYaTEMHQMw7zDjcufR3JFNYmJJ2G0uvXDqXyGlGys28xKdTJXnTqJmMb/I39HDn8oiGJjwlRcIiNyPhuyYSW1sR6S3S5UVUVKiW/XZmhpIiZvKCDZ1uCmxJHGIIdCP48LTUoW1HuZHBsdiYNZpYVYp+vUqNDdDPP2TZtokgqxDoVxEzu7aH2bq6n5l3kXJjMMRFTXJ+hQWIjMVxdi+Se7Kd/dQMmO+sj7CenRKC7T+CiNvYBd0ZdSVpfE8efn0W/ioA599Rs7g4o922l3dg+/Yx5Mc4pM75Daat7ZGuEyMmaWkV31EOPuJbaiCwbHuvmmtomCghJTqwEAO++jkOO0I2wGwg5qtMBoaSIUygQCOAcmIlQVFIFQBajhR0UQrQquD11CObXM/fIf5PQfRfro1qwIYRp27XRaVn7yFs74qkMe+4F485wE3QLjmj9HLsS79wcYXeSioa+H7EGJVH+0mL6OJJ6dYk4HiVZjr91HHQiM4p7AOwD8ZsjdGEh0QzerORs6hjSoLSsC1tKo13c5loC3GYfiou+Jxx3wjnmKNDCnUvPH/5DEYWfx8YYCfvxUGZAIXI1DhAgZNmpDYcMpxjTS61qCRHUX09G+um03JESZAbQ5MT0LiJVpt+KQDtR9PszpFfO7F06ERiIYozrZ63IyJ+QPL+v8p6GSXV/L2r2bMZDYZICTRQOpJV9ilMw2RckAyuGR6CBpmkasYdA/pLHXbuO8zHR+v/UNPIEEruI+ooNNqHaF/OPi2LK6gX/9biW5GRozf9dWUFGGQtSVLaOucSUOPYuYwBjixg2yRMj+y7GMj3aUlLxBffUXXDH0ITLSL2bv0pdxrL2bt8vO4HXdrK3yk+GvQQZMSbyQ1PGnMeuLnbhcmxme0Llib476QwZO61psLbhxIbv/fAOvTldQSCTTN56BrgbOuuTkSJuaGh9vL11G/MgULj6xX7fjfuCFDVTsrOW4G//RbZtvPr+EU7MXcOqpL3b5/ldfjuTG2g/I+l0jQzYVdBul/+mzz7K2cAc/+MlPSM7Oxudt4pnFc0Ao/PSBRwDY8/pC2NLEby8cxKDkFCY9uRADmJQeR4uQuJ02JiVG87uvK3D1EDtghE/KP77x58Qn9en0vndZ2/RAk8OLEQx0eF83dFbMfY09/1rDz6KfYOcyP2Bm1Kg2hUETUplwXn+iY534W8yLi8idzMwrO6cjtnL+L4+spksrD923BL2xV/92J575dceMh2VLvuWKz5rp89PRpOS1VVvVS/dQ/vedKEo96fedgegmC6SVBCBdSr55/2Hy+vTl+LPP67bthveeISb6yCq7Km43W357Cg7fen5wUlvdJ0M3WPLXlWQWeglenY/yyg7U5HGclOxFX/4v1FFn4zr9px36eu+9PwIwoMbO5cdf3uW02JLVX7CctURHdZ2pFPIHulyuhKdQm8v34IpN4ZOizdy2y0ug1B4JuZ0yOp71pQEC1T7EAY48padpFw7C8xE2HubsqmPfWwsiXorc5FiumjEm0q6JWMr7eTj9hrHd9AR3hf8OiotN40CGNHjgCQKjHsJ5wY1IXcPQAkitmVM0H1LzYeg+AqEW0jUfC7UgPh2q9u5j0VrIcZhThHWffIIvbzABVzUF9VGMufMunEMGE9xfSP0HH1D+p2aMcB2ylK1XYldvIvq41IMdrcV/IJbx0Y4dO82T2M41D7FTeQTNVc2Mai+/tL/P38PGx5q6JCZngF01dSbOPOMjdu36guLiL5HSybhxv0Jv3su6bVeTFNv93LwMmhee6IBK0NZAQuMu9hm57P92M5kTB2Nz2QmGg806FtXqAl1D7yKYsj1CRqP7u89QUJtDOApsCEP0mB7YWgHUHk5JdYVlpOP7taUCj0m28ybw9ZJSbijcRuv5+I9bSyJtzk41x/v13K9IiDKft6qlFjcGiYpPwVdiGhfdxXIk/mAo9Sv2sPvFP/LKxzqwnXnvj8OXGkfs9kpSGjQSgP5Jw9kY9qanOmrx2ANIILCuhIXr1gJmzRZIh+ambvf9qHKUbuoMI5xZdIDku/f9uUiZT/Llyb0aHpEhCYFA6TFwE8wpMCGP/NQhhIqg47YUVaE+1UWcVyPLZceRW45Xk7jmm7FKxuJv8M39E3a7F38oA9vP3uSPLe8R0wIPz/hrt/E4Ad38vTnVrqe59mxdjScqsdPU3bW1QTaKDzihZBG26hK+CQxgqCjCyLRRVu8iWGSwZH29uT9AUt8YJg7ow2fLC009tJ5+uq2ejx6CRW1SwyMCLKu2s6w6HMiNQOKlqtFnTpcIwTQp0fXuBc0Om9bjGZ5+EqoNVbWBs+tzmwuIB5Sm9Uiq+HLBPrIrDUpGZ+NVdwIQctYxq6iaYc8tIKG+HnvfvujrAvw08H8AJCsh3ntvO/Y0A0dm14UpLf7zsYwPwGhpofTuB7GNBxEUOAsawOZCTchnd205m5vd/KLqeeKD9eTsrYdhIP1mzIeiKAwadDaDBp0NwL7ZD7DP9xrEgVHdfbaL0WRe5CbXTCG2aAd9fhbP3OV+Pn+7EuWNYpz4cTl0IAFbL7n5aCGMXowPk65Pck0Fr0JikODJAfrsDtD8tyvQQ80EKxT8gWxQFGxpqaTcdRfJbtOtXLpvH7EpKSiKgojy4K2pZtFbrzL5/AvZM+9jsJ3IPwsbmRYTxcM/PZ4lK4tJSfMwNj+F4/80l28qzX3avWsHTtH5pNlUsgsAEQqgdXNuVqPt1BXMIWataUCUDUnBH2vHUdtESoPZf21aMiNffoLCPy8gJG20hAxa2n3tI25pCTH+fXhqnMDxB3Esj4yj5VDWwhcctV1Kp2yqo6l0MM6YUhyjLjuk/hShous9f98U1axFc+QoXd71J5T5KMl0M9Km4EsaBBXgm/A3nMefiv/FGxBGIehNeDyFNP3zROL6p5OsJjF41EndbikiZa53bVg1tlQxYcpFnZYni34goVLtT0PAzo/j9nP/6PNRFDsFw5v44TvruHpiX/pEO1hWVMcvx+eSGxfFiGSD++o1lB6mDiq2bSFm62pmPbSe9YOHoqgq/ccez5gzzmnLrtNDXOzcyPgR+Zx1kVkV+61vN3D37GKeWNGmbjsNDyG/t9ttHTZK796Zrmio1WhIKCCk11GyeSeo4CKOG68+lzmvv8729DTiAgESVq+m3/vvkSoN+PNiAKoMO5VIQlf/CufAaPS6erSqKtB1PCedhHvkCKInT8ae0U3dLIv/CP7njY/m5SuoePhhgnv3krVnEsIVS2DTN4AG9hKM1H6MysglPyaEJBs9poxS1oPW3GV/VVVz0TM1Yt9TcZ0a3+12/bv2ATDilH40n/gn+o3swxUzSihdVkDF9hq8tQHqmwRxgRriqnToSXNS15FqL8XOesgW2bP5HujjxBEySBjWjK3hC/ONGNg6K53WS6XR3IzP5cAeDPLu7NkwezYYBi7Vjq2hjpUfv0fV0g9RKg0uibVz/czJOGxV6OsWcN6p01HsDhYu3EsLkKwoNOsGt916K6mJsZGx3PXwU7h81dx59z28/+EXVH78AkYP+gVGmVlRM/m5Zxk6bVpkeUlxCSufeY6zf38vdqeDK1/sXnoewN/Qwt4Jx6Eef3fPx/EYo/Vu12YzvRt6eQV1r8wBcoi/YnwPa3aNIhSMXor1CUVgaEfB+BCik+dDMwz6NGk0D4o3m8SmQaWK+0xzuivqri8ibYObFxP11tk8UVHNLalg+Hwo7m7q/LReO7v4Ku37aiUGBtFJnTUnZrhS+drXwLeTz0Qc4IHM7xPDqpvapsF+MKTtLl2JVHTqnqRss3aK1DVKtm5GSknhpvUsevNVbvuXqTPf4jNvcuoa2jxyV5w0igsm56MbMpJVU/fHFajRR79irBACKUUk8PZgSelrejgG9Mlm9MQTKCuuIKdfBnEDBnDpffdx3333UZA3gCaHnUEOBzFOJ/semklLUzNaQzPBOasIKP0w6mpwDszDkZNDqKSEhs8+o/6990BKsp5+ipgZM476Plt8P/xPGh9VTQEW/P2fDHvt8ciygMPFnoAPGfQjcvJRpGFOZQiBrCqKyKI7kmtRgXWVN9PyaR42mwoo4euzQpS7CEeBjaSaK/Eu9xHc+6p53RcC0dpUFWiVKq7jbyC4W8HVOJ+yWQCCOCGIi3KDx02zz8eW8hoeCeq8tnFPJCLd3FKbvHKDoZJjd7L4T7/vsJ/tg/ManFsYmNxI1ZdXhgvE2RDCBooduybJKPUxdFczG8ZcQt76D4gOu97lbbeh2O3Ix/7KH3arpKhehhduxTshGx8KUgiMhHhiohTqKmrYW6mT4dK5MP5EnMvdSBGFlCrl365GczRxZzjM4fTBDv5V4EcabSe1tdv3obTU0eRINGNBGs2Mit3v/Itypx09pGFoIQxdx9A0DE2jubyYDKD5k28JLdwc3l2BKmCSJ52ax14CQG/wI9y2Dm719heGyJz/od3gHT5BL6EQvP7uu6iKwKaY8QG2cA0Nm6qgKKop/a2qqKqZOmo+N//w+di5bgswFKGZF6nKZ9aiB/uROM2LrV9uh02ueuVdynZuN4+driN1U2bfkLoZqCwNNCPUq+dDDwr2rS3kuVvOxoyfleajGUuLNEDTJJ6RLcQODiDaZVYBkefV9Zn8c+uN3L1gduSLnWUI3tKiGLaimj0rFqKSiZ1GfL/PCNsNZv0WpKBFTSdqxlMMm38z/yyrJORrwul2o+kal71xGUVaUaTfhHqV00ji64f/xjfi7xhSmgUVcaMHqol3pGLfGEvB+oVE2RXs4WBcf6oKQ538aM4mSh2CUIwdhybJC0CaomITAocisCsCh6LgUAV2RaGgMQSKWWiyO1we0+g+81e/I3/ceJpqq3n+xh9htJs+iQobUxkpHZWSD1RybUAhYS80LSs1p8XapZcZAR3hUDsGcB4YuCvC2dSGpKmlFuFSTa+mqtBHSGRtAc171qLYneBwodicKHYXisOJYnMhbB3Ho0nzOzR+bBqDxw1ixLiOgdvDJWwWUJSTg0FbLlZUTDTERMNPZgIzOx0zKSVGczM7xh1PzUsv4x471hIq+w/lf874qGj0M+OxBfQtCfIoELI72TfIDNwyM9LCqWnhq1Dr69Z52WpvNqkU0tyUSEjztxX/Cmc3iDoHno3JOPqfTAg/SlOlqcEhFZAKMvyn67nYw2VPtJpmIgm0kSwJcDqSGRuXQ7Rw8lVNY7f7JEZOZWfGALLff7p1Sac2UwfWk+9tQu77vJPWUCJQGG1n2Qm/oHLD64xqN+cvHn8CCfhVO3NywwXnsk/i53ueQ20XXdfqAD5h2ghGDj2F6jkOdHsz2b+dQcXKbwiU1KAIJxm7mqloTOTDHbVE2YD/Z++8w+Oozv3/OTM729W7ZMty771gbMCmmh56INTQQwop5IaEmkJJgBQgIRBqgNC7AWMb3AB34265SrJ6r9tmZ+b8/pjVSrK1K5Pcm3t/T/x9ntWuds7OnJk5c8573vN+v6/VhB3uCG9+9BmmcPCzW65FCIFZatObv1ixKOG5F5qpFGpegove4vDE6v1digRucCkxFQ3Uf09HltpVRoc1jF9ucmEkfQxtDkJijEWxTN5dt4ip4TbydZvG2LTCT+eaNYz/ZQ9LaP3StxFCwe/JtLMZK7EBRiioqoamKAwdNIWRJ8xNWncr6kCokszBGQhFiScdE4pAxLIu7/qyhtrqXFImD8XqTvgmBXEOhhR83pBPZySFmdNy6W7ziiV5uc1iuOZAtaC2ug6vvpWRqVcwJCPm1ZASR+MW8sPLsY6/hO1Ny5i0802Cmj1oH6w/yB65h8EMZkL6BAQCK8UgGO5kCEV0tXfS3m632LyMETjDIxiaNR3p8tNS3YXmc+BOcSJNybSwxUmtFltdUOtQUEMRLAn7LUmKLjEERIXAUCAqIKrYkxQUcJkSZxIq+aGZlA9sXAdAyZRph5U5UpHD9vf+dfXdQ2G5vHhqXoO/v5a4jAQLFQsnFg4OMhzEibyyeD3uJXtQFQeqYmfPVlUHjrThaO3lRIWJ2k9Kg0QQQqD6/Qx6/DGqb/sp+089jZTTF+CbOZOU009HcX096vpR/O/hP874WLmnka6IwV9+ey1Dsr4PxDJAHyE+WVzGzjf20Jy7hlx/Mbf89NuHlambW4nx93Lk+UPIPebUfvfTtaaWtnf3kXbOMFLmFvVbprqhC/n7r/hZSSHHzEosqH3drx5h3+ASfvTGRwnLBH53PtGWZrQHe+kc2NxPXv/DIC7pDFC86jHaFYUtLieTYyJogz9fhWmaGNEo3sfXYwgVXarc/OhjeLxe2+1rmUjLNs882UW0Ln0dKMBK70BxahQc10Orm/LWi3y1HnK8Tdwy+Rmcjrfj26yOelzZReRm2APokGGTGf/ZZxQ893dSs9JRnU5UpwvF6UR1OhGaRvt7XxBYC9nXDME9JubG7jYg7SQvdK2poX1hGVnXjMczpv/kZV2NQV64aw0nlwxJeA3/OzEqSyOvrZr77r8akFimiWlZmKaJaRoYhoHV37tp2mWMKPuuvQ1TKPiiYZZnzuWpaBNnD8vmugM6CuAN910asaTFpOmncMKPr++3TkcKgUpaTj4X//QvCcts2HADmlbEpSffm7DMu/u+QFXaeeOSxAyNO/6yjpcPTmXjdSeRld6zpFLz1hOwbTkd9x9DidUFAn7w0UV0oaN3WOCEtmgj38o7h0mz5/YZvJsbWnnsL39ixrjjOfuSHrd9e2UHy+/bQN6CQvJPLwGgAJiqGwxftY2SgMXK0yZz5tJtjBEOHj+jRxNESmln2zUtolGLnSt24P2iC/f4gXU+ulldE08+naVP/4WKLZtY/NTjjDxmDmqMAp4sKBXgDddqJqaNYO7p8+zSFiAlVsig7e19uEak4Z2Rf/gP40xx+0Pd0h24WjSUb2TY8TGWRW3oWRS1AWnpSFNHGPa7NHQwo2Dq7FqxBIcjh5Ez5yINnVQ9SlGbheUejpTCbtOxV1gPY0kDaTrQzJQjEm48FCmnnMKIzz6l5dln6VqxkvY338L3wUKKn/7b197XUfzv4D/O+FhzoIWh2T6GZP1zKpGtNQ00560GIDe3n4cZ4pKFyVgjwm07GhV34lsQ5/8P8GwqQ4eiORIzWRJXwva1XvyjKqLRThrf+Bm5+15n1E8OElUUNMWBv1cg4+jMTXzVYv/vTM1C8/YvFtTgX0LHhBBDj7nosG13nX853z21hcoDtbS0tNLtcN1xsAEsE6+vhwrpbG/DH4mSMmo0qf7+1/Jl1ARURC/FTdF7fQoRp7QKLfH9kDG5+3+XtoAuHLQrTtaUfoFD2A9i73fNluIgO2c47vTDDSIZjWJ19AjU3V7+LN/78h9M/uH7PDHCyYoKDVdpX1lyS1ooAzGnjgDJ1GR7IAYMUuwWzEuGunY7aNtzCJsnbdYZVFduAMsgGAyyszWHjugeOq1Oml0WSEGnO8zyF37J0ke9XPSr31EyyqZQ1x60DfCiwX2ZFHp7jBHj7zsTbw7qGIrgjoIsnE61XzNACAEqCFXF5VRJcam4TZIu4x0qMhaN2OdqmSbbPl3Etk9tj59P1WjNK6B2T6Vt4BCL9YjpyqiKSrsIYqYreMZl9TmG0WrvU/E58U1JnrMFILppM2oTlBzbWwV2yoC/W7gyhMDLidfcFf9uIBWb9+77G5sjdXzyhz+hqgJFUWNLRgqKqlCmOxDubIYUZjH/rMNTGjgyM8m97TZyb7uNiiuvIvD55zQ98QRZN9yAcPzHDW3/3+E/7g5trWpjzvCsgQsmgG+oE8ph2pSTOfuc/t3T8Yj62GxLN3X2VpRSXraH42acTFrakbn2G3WDHGBPKMwxyQoK0aMZkADu8EZUd/9BgkJR0FxpGFoaJgoeZ/8D/dSSbL5qaY39JnGAa5ZvHFWFj+NLvfWwbYqi0L6/i87W3QD8+ZVFdLR34dNbcQvwuHqMKO+alfaHJMG00jAAFTQHpiW59vn1tIWiFGd6eewyezlNr4wF6yUxLKIR22Ufjf4P0BX7wTZHLs1uHz+vT54hd/a+tbx7xvmHfR9Yuy7+OaU4iDdPpyknE4RgenUVQhnap0XYA5WJ8jVc3AkhZVLDGrBjpQYyPo4gvmZbZ5DRThdef1/j2je4BN8P7Xie7au/ZOMLYf5yymDSswazdvmt7Gv9ioyMZpRTa9j9xjDevPd2Ztz4Q1JTU1m/rBSAVa/uY8yUUaxcU8X+0haC+zrwAMLTt1tsD9vLXikxA7dVkWQeEbssOQ6d8Wsud/zzrPMuxun2sH/DOmr3lbJj70621Nceuou+v9cOn4DIWN3N1iR5pnqXlwN7WfpHbNn4a6DWpSOjJutbmlGkHTjbrRJtxoyHpbqbqv0O/ti5BL/Pg6YKVIeKqgg0hy2fr6iC0DXfQ6m6C/70KEpqKpmXX/5PnMNR/DvxH2V8VLeF2N/YxQ3H95/m/UjQ3lIPQPHY4oQdcHdSqe7tJ975EdVS43RSCS5fwsW/vuSIuJbu2GCZOgCTRQEGSO2CFB6gPWmZSCRMsop9+6QJPLvJTumeXDwpeX13lH4PX94uTNOB2XgQhzuL7LGzOXbCcCaP7hFTC8w5Efe+UjuTWaIsqkYsgZdL4+HFu1mxx1be3FLZFjc+nENS0cs6UFyJ6xWKeUeaGkIJy/x3wnBn4Y1E+HxMCoYEQ8rYC/sFPL9rC6Wif++Sb9ZM8n50Mz8K/QOXO8q9OQ/RVKHxx827+MaNF1D11n5UISh/Zx/CrTL4pMFYWIfpgfwzMA2D5qrK5IXEwIPR/sYujGSJTYCIJRmXmdxL2dm5DRiJaYZxaG7mnvokc4FP3jkRPLXg9SOjOsuXL2PC6E8hZRBa6zGoET/P/sg2cHUhaVck5ZrFAnfftv1Zq228NguJZVo0OSB3QHaZ/dbdF/RfplvhNNZfKArnXXI1H7/8DGXvvIUppR3to8CxeWMZMu8E2zOAHQwrEAjFTj5nRqMMmdxPvhRnzFM5OLmRG0eveLevh4GmP4dj9Ljp1K1bxHdvvY3MnLQ+25Zt2MGKhW9wyYh0fr8HfrjZzjKcDNqM7/BJ6bO4R4/+mjU5iv8N/EcZHze/9yjOoo28fmAU71YogBJjkHR7DkRMaEn0fC96b4OOxhpSnbDmrQ3syzpgsxLU7qA7u3xHcznvFb/BcRtnU9AymHp/OQ4h+VQJs8RII2vtx1jVIRR3kLz9WYQ12ZMihJ5cC11tYVIAJVzGmupes55Yp9VdM6+7kgkdQcIrAvQJWu3VkRh6Fn61jj2blsdyjNiS74pQMC2JXzVpPribYiQ1NZt7HarHwOrdWGpqNuBw9jIIhMAd0UgjBbPNpiG3tdUTVitRlJhLVVVRFQXN2wZAeyCN4ZNP4uRZ47pXgGhuaI3lphEEFCcZTkmk4QDBoBtpGjY7JvYuLYNAayWGJ51AcxnTfQGmeBuwEMwqyaazZg9CqFid5ai0YdUdwIj0DhCOXR9L4ukIkKWWkeUxaY8FugrRa+kgxtQwZYCI149QHLE20X19uhkGAqV5Dy4tD9zp8XZjF1Hi+/VHGulUUxlRkJhC/WnpenZKCDUdjLELYgwDhxPhdJJ5063MeW0fuZVvkXPlZRT6UugWB3dkx3LVrK3FdATZ2baYtBEt7Kp+AmvJ1l4DhUAIlZLR51G2+20sM4KUVkwG3n6X9HwGi/zpjbSVpR1e4T7oX8OjN0K67WW69qFVh23rMEza0hwEpElF01ae+kNPIGV8r7H9V3Y1sHfMZ2z4so5Un59IyGCukk9h2kGsqIBgF38e+h2kDmnucygO7+YY2YCUUda6LGSWi+IsL+saOtmnR7lpeSUt21tBgfbWBmSoGSaVsLO5ATa0oqsCX1k7bUNrcHhcqJrTjilRYoGhihI3iiO6TjgcPswLJJGEomEsIYlEoxhR2yu597MlRDQHYdMkKz0Th1QpUkcwUhtEfkkxxAJ6UWPtTYkZIgJQBZZu2kuHiug7jzjSuIp/0vMhLSvpsmZ/6J7AmIdor1iWxecbt2FJuPDsY7nMMAh1dGFETQzDwjBNooaJaUmCEYMrPrH7xnevnsywCe9/7bofxf8O/mOMD9MyKecltBTY01Uf+zY2SIvuz70fvP7eJcJhIosijNx4HEZljIUQdzvY5kBZ0W62F+9jO/vgIHgOiRW9tTT2YSg8seNOSjb1L5bTLSie2f4ggd2Jo9hvr+sgr0mHg0kuQGyiNur9xLLZBUBEE+wqPVxsqRvXTBnBi/tO5awVLxzWn6lS4ZU9vyPky4VjYWf1rVB9+D6csUlYZmozeT+/ifb2/jvGYsDywLb930jcUmMxf2V19m38fq+l4XWlkNWiM2VHhy29mKRfygQuzQHKYq8kKB3ho7owgZ5EDCMOBBhSldiL8gPgK/U04PiEZQLBMGhRPI9PPGybgYqJwrcBJ1H0Q7xNQ04fQvuMNJq319J54C1a8j5gSEytOmC90aesUGDLjtdRnSaWqcSac7clLOwxXoh4O8+bppM5eID4ASGSz/qB09PTWNfQTmnr4TwlQzehGdIcYXKVTlo6DtXV6U0bjTK2bSwLU/YTCdpxLl6tnYxoDg1bMzEV23tkZbm56ZMOoACz8SVKU/dRmXEWakSnukanJkb7dlUGCFbaddKAWe5sXKbkz6qAoP3MZzdE6fpr4meyewHl2WefJuLoex06tA6WDLITSKqnCYJPP8iKx3sauAQ008O4zzfQPHIKWXtfJrDyZfY/dcj5xxIXIgRYBopTUrKgDc1rxa+PIjXgFbo+rybw+QFSxzaRcvWlCev9z3LNpbS+drZnNeY9OlT4bdn6bZi1pThzh1KUGwsQL+y/vUkp+Ua94L3NNSxvNBn/9at+FP9L+I8xPlRFZUbeDNoj7bz9jbcH/kECvPLpe9xfdScX/mQWI4b0EwgoJZ9v8/PJV2/z6JS/MmvkZCzTZGv9QbY1lHPW0CkoQrK8bicPbvkppefmU5g7Mf7b7gmSlNAcqEUvu5bGodcxOvdYDjWIZCxZWd5KW1wrcnqvjKS9AwIFlK96gsKO9TRe/J7tNZB2JLu0TH6/cCMexeDiUfux/EsoyH8Au9vtc2ZIKckz38UbeYHv557NpNySeF02Vx3kz20f4J4TgIMlbP7sp0yZl4Urw2VrSMSOaQfKWQQ3b8K79H26Tr0WObQ4Rr/sQ1LBt+wfeDftocS4Es2RCoiYPomKUOyXFAqCFBzpWfaJxh0+9ow9or8CvEVH8Um4R3ybnk6beMAtgKhbg7btT+jp4+iYcQ/xNezuwTfWmWcsuwSvKGFw1q+Jhf7R7W2yPQTQWPcdwv4cGo7/Zc/d6k3hlpK0Nd+HrOTr8K3eYXSacHDub2OsgijS1KH7ZehUN+wlMLwUuWo2qjOAEj4RXW7D4enFahoGRqCQk89Ygqo6DwsW/eTDsTg8OtGgxulnlzIQFr0/CacnQbK0bggx4Ax6qKYxNOTmJw+f1Of72uYgb9+xBoD6rGYMZ4Tb77wj4X7e/uJtti7ZihQSv57O2Lo5FNbPocKwrdxh4fU8N/kH8HAua+f8gJFlaxi3r5wp2V0UFRdy5uxTmHxG36gqaViYXTplH66hcJvKyiw3eraflnCEcHOYoTPcGJFoTHvGjGVp7GZaScp3l9JYvovCuePJzC+MXRK7DT3a+CgAk3zHsTXwOY0LzqTANwRTSroqq3ihYCSaBeP++Guy9m6xK1QykuzzLoaYsFj8PcZICSx6iUh1E9a4a4j6M2OiK4CUpLbvQnhT6NrloG1XHvU/6+VpOsTud0uv3Y6/JqS0jiAIuS+6g7sP9XzUx4KMLz7n9IH3IQR/unQqxZleHvpkN21Bne+dNJI0z39DbNNR/I/iP8b4ADi28Fie2PIEUiZOvz4QWuptCeNouP+OVQiBy+lkaLiIlsoqyqQbb6qfuSMmMndEzww2I5ZdMz3Ly7DB6f3uS2tvZ399Ixm+YibkTOi3DEAgpxBXaz2u2WcnLLP184/JYCvDJvTtZPdUNfJxKMiYlCiRPAvTUhkz5gIUpf+msabU7rgea1jI0hmfkJdTiB6J0BFeDG0f4JoxE8tlEdoqGDp8GhnD+j+38vo8QqULKb77XLKm9Z/I7aB3L4FNexh83C04UweO1O8PrRvvIOpQSL36DUgWJFiZDdv+hHPaRWQfl7jTiy4XpKQPpXhyYmXFlo811OwSck++IGGZzfufxRyAoRRRNDCh+NSbE5ap/vJxlPBWXMalhM03sNzL7Ic6cDqZGbNQHR5Uh5vsUWOQliAc6rK1OYRASgNLGowb9QRtLTvx5Q+ioWEPHaZKIKJjmAZ2Nt7u/LkxJTHVwDIGDjhlgHgO54EASj/xva++twcnoM/OIjXHoGVTRdL96O324OU03Vy26W5Uac+oW7JDPH18ARHnAm5/dyslY1vZUPgHOv2FpAcK2DVuLBER5Z21H7N133pOmDASj9uNp3gQKUXDcaS7EU77PPOGDsadHou/6Se04lA0fRxg264PufTkWyka1ndpLbA2wG9Kf8MJI05k65bPOfG4eVxYPBmArR1Bfr9xDyO9LopeeYWv3nyHEX97grorL2fs5Yml8mvWPwNRF55vP3jYtmjFfqLPXUKmQ6POuoBo4YK4WShk90TGRnNVC02dBl83Km4gz0fgwA6Ml65AtYJE8aAffy+RersP/qpsE2VBP5qqoaoqX+w+QA6w8sBBKkOdeDQVr0vD43DgcTrwOp14NQea6kAVdtDpj04ZRUcoyt9WlVHRHOSpq2Z8zTM4in83/qOMjy69i1Rn6j9teABkDvbCAfB5E4vZpDe5+EvZHTH3fRAI8sZZjzJx1MWMyZt/SOl/zs3ZG1FfCpYRIFlIWU1bqN+g1BdX7ARg/pg8LOsrpBQJDQ8AZyyINt1Mwe3y8NQHj/JYSw+3XtOcBOme0Se7zvGIvCRFYvTXJPLqiRBtLyO46TEyynbTVViCNhA7oZu9M1BSNST9anR/TSiWiSWSBy1GLHAMEDehqPb2mfN/RGfz5ezd+RZIlUnzrsGX2pMJ2IhGWPzBNDR/BKHI/tX2A0DdwHXXPFBdO0C7FcrA1zLB5siudgLDvdx5zWR+//GSAQMZ96+qAhf8ZuzvKd0YIJJRxbTTH2ZoyXexnl+DlCpOXwajP9nEvXtA7diN85k7aG+op2mLHUy6v7kJ/6c+ZhojiIhKmkauxZmXjtxrAWloSZ73fs/tEA2P3vC6bK9RINwGwMLSryjd3UKH8POK0JAKTE/1kTOoiLnfvpL6vz2BTMZSsixC5S34RvZvoIcqSslhH5X+s0k56RiGzJiccFfv/3Eh1S1fv30nm9CF6ivx/X0OAJ0yjwxRBquuRqeAlVzK+mWr+5TPwbZbf7uoFoOGr12Xzw9UAEeNj//r+I8yPrI8WbSEW2iPtJPmOjxgTkqJJa0+SboOhYj1AUqSgSPTlUGYJjrHuShPexlnykIyo1C9YxEv/fUyZiyYQaSgBIB2Iwm1U3YPvskhj8CYmjkkA6Xy8HJh3cAjotx+4bF8+un7WFbyJrHN3wTt8NnVK9BUjbLOMgr0HG4Y+m0y/FnkZOXRLmMz1SR9WLzOSQbXYMgOvvhnAuCCL55EWlMLQZ8bkghdxSFi5z3AgEl3/MMAGKjOijSQSdoZQERKnAOdezdTQjjILhhBdsHP+i0W1btwpYcRgYmkp09DSsVevhKO2EtFCJUv3nmHYNFE5p1+OprDQSwfgG0AxvIDLPrTwxgpA6yu9w7WTQB9iJdIZU8sx/aWLtobw6R0moRn2aa0OAIKp4csorSxe0cZkIujLZ/58+yg4Ysu2sHq1auJ1L2LoYCjWyh401ou+P5jXHA+mGaYtpZGvE4NGdVpWrkBsdWPuV/DY7rRzTCK9jW7yiTtO82fxtwdFur21xibKlmcl8vHroxe5QWv1LXwal0LkxTJH4HIwVJCwQ483tTD9oeiIC2BCNYkrVLaBXeROqJ/L2M3ei8xfh106+T0h5aPn6MIqBh1P0O+9V1CDbUYjRWIxXfw/fZn2XzGw7hSCuMiZKZpErQEU3w+IrpJ2DAJGxaRqEnEkPF3S9opAUxpIoGK9nK2NW3n1NFHIz/+f8B/lPExPW86btXNca8exyD/IIamDaUkrQQFhdKWUrY0bkFTNU4efDKTcibh1bwo2Dk1FGEzQ/YG7DXxXRX7aNVbEEKgiJgwjrAj0LuiXRhaI87sYrbsb2HMGPtxDjSW4JAO1m1dR3qKHwVJVShMMGpnv1RiXa2qxLpcaVPLpF5JNNoWHyC6Bw2brZO8owhtr0JNdTCi8m1yaOXRV5YwsiibM06waaiNzS3x9OiWFYzn30iEmlhAn6baVliIMPlKDhefcmW8jBV3tw/s+RBJBijTDNg0Yql/rTVlqQdIa2qhMz2FlB9WHdFv4p4PK4kxCCAlphU5sn0mO5xlIgfwfDS0tWMMoMshiaU6H+DaWLF8LRlpxzH1+NsSlnv/0WVUywJ+MnpBwjJvt/tx0UZbVa3tQVGUGMtDxOXWHdEgOj4qaxttoz7WJizLjh2SSDpCEdxS0lbRwbKDLdS8fCB+DFeKg4qGTtoiUYQlKdu0qedZU+xnrft5c5Z0QS0YW9JQAfX4WkrLt6E4vLgz/Jx81gIe//JvvP5DF/+Yfh+q4sNVVEJ7cwPdjCWn5sNEIJwechacinKGAGHx5VsPsG3hbm4x5qE6tCP2mnaXk/0Ys7OGzCLnfQuo4TRg+caHCLj8vDrhmzQFMpBuFW+eh7bBPnY4JREHlDz9IqUvvEhXuhNLVTAdCsIwsS48nZO//yDOgkzCwcN1fKpfeoicvb+3Q52OMJbjn/ELG1GT9gQ09aLyRwAoPPtbAHhyCyC3gDd35/DtrRsYM2QkRflT/4mjwtPbnuZPm/7EpJxJkBrBL8t4ZMFTA//wKP7XIeRASkD/ZnR0dJCWlkZ7ezupqf1Y+f8iGoONrK5dzd7WvZS1l1HeUQ5AcUoxs/JncbDzIG/seSP5Tv5JDOssYXLTVBYWL8St6dxdGEJL8qRLKQY0BqQUpO3sYnpziLCwmQoytjgghSD1kCRhJeF/AODTgkgp0C0H6c527pvzILeu+A1h041PC6L0SgamxN6FkOgBQUa4nVM7PkAqMNw9gZkpJ+NVegIQo5ZNHY5YINSeE5RIwnoTnzcvxhXsIpifgeFwoDg0u8bS/p2QEiElUtfxBoM8nnsiwg2HagnEE+cR2xa7Vt+ILmeHOZIXtQcIqbFrISVOQ40zBCS96yWwrEJSHDZ7wRR9k3j1hiob2T3cR02GLxbQJxASgk5XbMlKRdM6UEyBPyoQusXggwrZbUr3XQEkqmxktf90Lpr+8+7q96W/AlHTwtEcIm9bPVGh0uF1kzbBh0+1cGCHBJ8jnmCicy0p4RmAhYWOJXUkOpaIIoWOFFEsoWNpQco+GcRp1z9F8cj+tRB+fdlFtA49lt/f/5OE1+DOq64nIzLw+sxe33AW5Z6WcPvckIM5kUPURP0KL81PocNnG2Yj6w9ycummAY8F0GSpbBj0CQHX4Xo2syrOZlpN/6kOEuH09AcZ7l4LdMeTdgdF2+3HkgILBUt2s05AoqLjJBC26Iy6eDX9TKJeT4/REit60odrGVRjU0TvOv4ytmaPQJd9vbFGkRdjQgYjdl7BPOdc5jU6CDRUI6ImimEycsXhtCz9R1lMumFFXASw9VezyLB2U5P6DfK+9zdUZ/LlowfueZZlxWNIyexAJc7kRRUi9r9AsxTGtCmc1ha0ZXhVwb6Nq0ErYMwJJ6FoKkITKJqK4lRJW389GZG1BMwsIrPvJW30OIQ/iw3rH2XS+jdovXkR2bmjcaiOIzbuuvHbdb/lpV0vATA0bSiXjbmMy8Ykz2B9FP9z+Drj93+U5wMgx5vDucPPTVpmau5U/vzVn6kOVDM8bThXj7867t5bXrmcVdV20KVX9XHPqPuwYkyQ7tfeQCkvVD/N5MAExpujSVVaec27jAMp5RxIKQcgagn2hBUKsk4gM7gcgEDO97Acafb8REpkoIb0zueJGqeS6p9oz3KlHfgnY+9g8orvIz6VVZw4eD6WZcQyldpaGDvr1uOzJB58HLROQIahML2Jc8c4EIBhBMhWG/B6LmJYej07m4dwxfQoUnYni7I9+7FgftZsDbNPFJE5ahw1jRUMi07Fa3nQhqTGGcuyPoAIm4SyXEiPI05hkYEusrpyyM4aTEtmOy1pXoZZFj7NaRtNMXVDEEgBlYEIzdnZnDbSh9ejIKVp80t6a1DEdSjshQ7dhKe3nQfAI7nnMjcnRF1jBVVGLSfqE0lzp8Vkve171W30GEGB0XUqiqsNV0EacdpML4KRRNIaXEuwXiFXKbaXVqSFFBYH9AgCyeDBRUSjy3A6I6SqI6lXy2jIyCHdM5P4yCMEgYpOqpTjmZHmQ2LHBgSCZejRdhTVi0ShvCYVpSbE5Fwnn1UDepTmcp3BIxxEscXI9ovhTGQtmBIFFw6RihAainChKE4UxUVbTZDmsAOn4aa9aiOv33Ubt736Qb9tXxGCIVnJmSxbcxcwJtrOdSeOiLGmYm3fit0HU7LwoxfRzAi/PDYlTioS2N4KWyNLULdkHyN9Q8iOmV1BFaozHdy/K4IUFkIqSJmF35jC2LkuO4OylFjdzxq2JkTjhnXUblqKcs3FLMi7mXDIYtPSABLJrHNLsKSkfovd1c29XCJiwSYypvHSbZxixfZt2Y9Zxhe1NLnG01k0BqeaFTs/M84SE1YUYUXBisbOXyLNCIoeQKr7GU8DSnoLrpRhWDE59O42VXrsCNp2Rql3NrM330lRro6kgcJUP/7csSxeUYExOg0FSbtf4Jp0CqdNvTh+D6SUfPbcr+lasxrfvlqKaiKYfouJlduof+BMUFyAIMOs4mDqRRT/+Jmk97QbB4YOZusQL0PburBivhJLCvv5F7bBFXb5WZ6vcfaOCAoqCipTsk5GFSpsaTxsnwHuIizqydHuwLf++7De/r6j7Qc8E/47/KoBYrEdFiZSSKSwn2v7c+x/IXt9ZyEVC0sM4UJuQ0iBHNLJZecdNTz+f8F/nPFxJDhn+DmcM/wcLvngEkZnjub8kefHt1008iLe2PsGj6x/BI/TzZmzDmc9LK908UI1iJCDSCc0ksFdlzzC+s71mJbJu/veRbd0/tbk5g+jjsevNNDVtZMTBs8jPb0nyVZt7VZ27nqe4kELGDfu/MOO040nKnayU0nh9vNfOGzb+PZO5r9rB3u5Oprt5RxF8vPzDpcfXlL7IrWBTn5+3rcSHuv+ro/YvytKeUori1JKeZ/7eaGmnnFj/457ns0SaVu4n67Paxj2rTG4im3rN9jYxsGF62G3m/lXXkR1sJ73l3zG7AsvYNTkKf0e68WPPqdr3VJuO+tUctKPTKHxb6v2wLa9ALzUfB4/++75vL3qBZ458DBnnfhbSor7Zw0FGlpp/f12IpMUhp+XOKtr008WUZAXIP/yvlooS372MwYPrUcoi3A6wYjOYcyCF2n94Eys3CGYuT+jY+lBtBwPwu3gC38z7Q6V96b1UCe2bX+choYPia2kcN0Om5K5xesHbJbVT2cN5dZZJfHfPLOygMvNC6k9c3IfLxOAYVjc9PBKPm3rias4W2ti6tD+VVMBe/Y+gDM06knDLCxg9HmH59voxq51KyjWw1z2jRMSlrn83Y9oCi7h3FseoOaTrQyPeMl37kXN1pDVTmRBF+YHK7D276bkN6sT7keW7Sdnbxs5Y08je5x9fxve+ozCkWHOn3smAMvKd7Hz81rGTj8Bl/fIaJjG6mtodY5i6FXPHlH53vhq7aMM+fgubrzgJoqK+79O6yv38avPzufW8VO5fkbPMte7++r5ZGUFjoouFhyTz7qDh0e9CCE4+dq74Vr7/yf//ibRnY24ogvxu3VUGQYpadfGoY4/PDV9ImQNKsYbCbD6/MQeq98v28NfowFG/u6MPt9LS4JpYeoWRtjAipiYsZelj6EluBSPbEIzWyHcRuZmHfZB5iwdKyOWnNKyl+ikRXy5rvt7KWNLutJeHZWWAqaCtByInZk46xNU+Cj+T+Ko8ZEEXs3L+rr17G7ZzehM202tKArfHP1NHv/qcdvS7wcRw44JUK2e7ccMOoZTU2237zfHfJPH1t/H8tpNeB0p5OYsoKtr52Hr9rZ34wjW86WFkqBMZqofb/tlBNNeIeyzVch+dnx6v2WPIEYwtlwhWSTX8tRjJi4zi4rTowza9GO2BP8GliT94Gn4GE/VE2uJOEIIRZASSccfk17yZKZjxYTektHzehgDyevUG5+vv58pWgtiyIW8eOW3YnW28dLzz5BipcRP1u9xM//UBYyaPKUnodxAB5Mm0pTU1tZimiZ5eXlomoYA2h1ddOfMTY2pqwmpYaHT+voeAMwWmwmUlanhcPYdBIcP+zGK4rQ9PNLAP9VLx0E7mC69wMfYQWl9DA+AkCLAhLv/vBrdlOimRcSU6JZFMGryZTDMTK+bY4szeLS0FnduEdf9JrFmBogB24Adh5O8jFAUrAGCdzO9TghKZs0ZzC3bHmZd3TTW/+hqopaOU7WXB/Z3bsLY05Z0Py01lWQB0UjvWJwuzChUbC8j1BmJh/QEO/UjNj4cRMjpXIp+TwECg4bimym67tdH9FuXatOozTAc2NxISqYboQikJVE1hYx8b6/23fc6FaW6ERK06iAPjMzl5K+grjOxoBmA8WUmgkwWMxqf4kSalh0/pjkQXwr4cnXPMmX3Ep8Q9PoKhKAmVyKKB74+/d1+W1lVxaGpOHyJ9jE4/inLVQX79nDK7JnkHJIQ7+ti89KDrH5nP83VXWQVJTGuj+L/DI4aH0nwqzm/4sfLf8z1i6/nlbNeYVBKj1SpJS2UBHQO3bIDRc9ccCbH5xyPz+frs/41KmMUV4+9mOW1m3Aojl4DXt/9WdaRGR8mJmqCfCpCCNb+4BfcsXQHHx/cx3GDqzl31tUJyiY9jF2n2Ps1H5fw5QhQXVPR2k7kuSmvg6udGaxDZgp8B8fTIZtRpIqMWpgiiqPET8l5s3HnpSLLbYpv0sy/3fU5wrCkp3/zayZts8W10gv34nfZHaDDZ197oblwWBogaYtadAUjvPre+5zd2cn4CVNih5Ks3NNIV8SgJJb5eHCmhxR3rDOVFqGuIH9/8kkA5s2bx4knnogiobp6LJGIjyElm4kG7OA/gQNJlJR5g+hc0RP8astg9D0vr7eE8eMejv/f1LgZcmHTiVMSnnNZTJZ7RX0HLiFwKgKnEDgVBaciOD3dz13XTCM9w8Oj99RSPH7SgNfRGkCZtL+6HwpFKAMqnBZleNFbY8kXU7KIqH9j0t/t8y90Kvgk3FAXYohU2LtjFwVDhxAMhtnx2QryRgxj3DSbMpozeCgW4EntiZlQFIP68nQWPm7HRWjuEOAh0BYhI+/IMlq3Tf4F0drd6J4SiioeoajyUcx7nsDARVP+JRR95w8Jf9sdnVS9uZ1Nn207bPv4E4pIOcFuU4cyo771vL0uMXp4RtwwaQ0lTyr3629m4gtZ3LysE1p750AxcDj7ecbkIQZETABPT3czQJgZZlsE/rmk4H2ganafZUT+9WSOo2bl88Wb+9i6rIoTr0jO6DmK/xs4anwkQXFqMc8seIZLF17KT1f8lL8veBZN87Cschkdegepzv4Darp020WelpJGQUFP2u6V+/9Brn8wY/KOxzBs+WbLisRH2W5PRzeO1PiwpDVgWicFk0x3mJeuvTFhmYFJjWAhUHvN1MzIDsqGn8preTczV65gButoj7gYBIy6/XR86en97yemaqgm0d/oPm9zgEEMbKOhfdva+P8dHT3p5DuD9rLDeZdcypThUwDYd+9yHCHbfGz+zvcoN6OoueMRI67kqmfX9d41C8bn8eSVM2LHMXH0uh/5+fmAbTaONAXjC6exX9+NJ7uGxUuuR/VvxhmaQuppxbhGZoCUKG4H+9/cOWAnf0TwOCAoWXzvqbi1JInzYnlUGIDeq1oGnVtWcfcN22OxNd3hud1hzILhlgtn0SySScMLRemX6dG3UI+rbW30DdBAlWAKqNHt324ODKXEOIhx4QVsysrGEwqRH7ufu4Cq/CIG1dleJqPXMzBubjoHdzZhmYJAu4IZtb1uerBvAHYypJ/fQ1tuWDQMZff7BL3jSKl+D635cIPikAsAQPYIL3zWc6O7T9nj1+LG9Qs7XqS2s4l7T7oKgLljc1n+RSURS+LVbBn/kTnHDljfgEfhkTPTuPrLaoorPRS76zgYzmeot57THkwsUNYbe5eUstE4XO6+N4zmECT0bBw5ur2N8uu4NhOgqtR+3ksm/mselKP49+Go8TEA0lxpPHD8A4x8Yj7aBnugGaOqLBIgqab2vlyksAdkTUpUKWlUZ3LzwT+xbX0nmzyv2cyHYDb/mPoUHe5mjm84iSE1cznL+R1Ks35JlyeMEPDiS09hRD0MG/4lKSmdmFJykBLu3htBP/A5QkpU7MHATotnv5otOz39OS+c0ycZnhKj4ioo1If344pYbPv2nB5jRsTIvTEGSMAxkUDayZz/u95JUPp2DI2tBqeEvTg8JyKtMF3eNLYMruPYHVsZX7eNzW0z8Ogp5HmraXikGs3t7svdi32uCFWBAm+++QbpXtsFHU/MFqNTlje3AfDttzaDyx2jWhIrQ/z/odsD5EcgnHclnqa3cJhB2rqDCqWkpa2OM1J1dm35LXX78/mgHOb4T+ad9CZEeBnKTYU8UP0d3oz8lfmrtzIsbyYHelFum3e3suO39mw0YLWxo3IFQX8lwZEKry7egrJUxXTk0+wQVHQGyTML0LQIUm5CiFQaW1IQmop7RHrPVT0CN1Ox20lrNPlg2d1vJ8sybB/QYlpEJby2i2c2v9Gt8h67RiI+E9akimYFCGeMitFmFbpJmhIBlsVrC74BwO4PN/d7KAG0TT2WsBnkb28v6u/2AxAuGUKBxwFS8m5VDevcbu7PzkRIKNKdXNpVj5bh51ff8tDl8ZEaCBB1uKkcNoGsmjo8EZ3UYABnNJUuXx53uD3xfEjzLu+RbH/+Z+/Q1WYP9ouf2k6qS43HDsjuExdgCMFTx/vp9CooEvuFnRZJYRzq0PEoElIzJ5FCM8qHr+FA4ogF0DoEaELQ2Oggs7qLc7ZPh5ZHKPGlohxIBQOEwwRh0bS4g+iSKJcGTN45ZjfLa7Zy+7svMsYzjqKQxQUjdCyfi7c2f8jpqTpVu//CA2WvoWBT8tUYtV+JPeeulOuJqPbAmzblLaZ75zL7R9ex6u6X2dpQQOGznzDh2sT06Z52woAZst3D04maAT7aXIWmKGiqglMVOFUVp8NOde9UBZkpbjJSErNr4sbHv2h7NFR08NmLpeQNTaVkYvbAPziK/xM4anwcAabkTqFp1vX41tpKngWmycrBk/C40wGQpsGsA1/Gy0/rzGULoPkkjkKJ2WBAEKZVHItXT6W4y5Y494ey8XfNwXAECUdCZKTnAm34/Y1AEYbDQYlRzlC1jaCaG6P2gdkdhR57pRj5dDrq8CpeDEvHNOtQ1CimVQBCQSLJblWZXqqjdImYMJUEaUCM9QEwrauCnUMO0uo7JBNeDALItxTGR10oviFYZiae1t9zzidgePy4nE50HfxSITuziE69FRntNeDInj15TBX8EIhEiYRbetKedBeyKQiohk5NfQthZ0o8WS+9cuAgJae12LOwZkcmrw66EmSEcLObF37+LiBJ86RxxuDjyC5egWm4eWvkS3zS/AyewHIAwt5jKGz+HrsHH0dKnc790keZYsarO8RSUDoiCAkbmpcSMtrIC7tpDeusn3oQC0lBmkK26SJY3UqrHMnumlFxdoNMi3JoKi8pkmucgE1xHNATFduHMsCAIRTB9IgDl/AjrU562Zw2rbqbCSqcZA+ZylW//UXCfT2+bDMAmYd65HrV1+VNJaBbsZOwv5WHBBXVZ+TRkFmElJLhUYPh0S4u6bS9ht3+mVdSDrI9O4v0tFG0SMP2DsowTSUpsdgYP9FoJ4ZRBrINODxJ49g5RWxZsp9IxEW2x0N6diZCVRCq6In1kZJWaVGW7WBWJ+Q5HJiAKcGUEjOmqGIq4CATr2ohHComEl3a5QwpiVqCzWVeppVLhm6vpa3CgaHRw+ZSbCNONEF6i85oA/SJKcwZ0Q4coF1vY4JfhTRQNQW10+T0NIOl4XrWt7US43ZhibjgPRbwYOejHBRDUArqmebZgCerBbiOufdcytbvrmDFOo0J1yZvIwBuCbqavDHleZ2Eg0GubW1KWs5pSrYfO45UX/8GiAx2Me2r31P9HZ06txMU1Rbei2XcRsQyBAvR9//YZyUahs42thedj5k6hFOuGddzP4/i/zyOGh9HiOwzHoZT74fdH8Ib13BC5VY6rJF0OSKIQ+IWhjt2swW49LLB5E2ZTuWu3bz/p2rGtPToDGQUt9N6MI0pE+9mxPieIKzOzhrWrV+I33cBWSUn0bT9fH4weSyzChO7Xf/06BBycy3S09pRHQdQVXvWXlh4F4UF03G50th08/fRDhxg/MqVCfcT/vFP+OXKF5j+tw0Jyyx9ey27FweouX4G14zM493rHSANZo/o9l44MdrTARh5+6k4MvrP/qosXM6eFz/kugefIn1o/1l9//7++zS+/BTP3v1tZo5PnNvmDzd/ylq3wQaXQY7i4MoFWexpqwMEn+5sJxjI4NXdF/CtE29hUsl0WLaZqGtU3PgIpZzBztw9rPNvZ9aoM5l92vHMTnCsD7/ZkzvDWZzDR99bnLBeANc/ewVaAm2FgbrJI1kG6zbW1AE6XUUoOKQgbWoB19yQOHfNH694H6fbnXA7wPC2BnIxee78M5KWGwhnfrKV7VYUoSjsO+8DOpY+RHt7OyeqWwCIovGedQKKtYtV5yWmir698gXuKXs4YWd2zDdmUTI0g5fu+xGzvnU3Q0+c1W+5HZWtsK+C20bkc8K4/K91Lk1BnZs/3E7pvmZEQKfAbXvehr/3GbmF/evGbPv8Dbj+bualV1Mn/Zwzdykpnr5lo+0HWLnxVH405ipypyYJFL7Xjnep73CyfWwqrd4dAKy89w0gl3E5h1Ng+4MuJY4BVsu+dUwJp3eECUdNdNNCj1pETRPdkERNC920WF7dyuNqGN1IvDNfqJ709v2ERs1GenxgmgjLBNOAGG3bpjVbYERtHSDLBCnx1OyMG+8zLvIx4oYTcLqPDmf/P+Ho3fo6cDgxR54Rn5VJOZiI0YEjw0OFVURXSwdbIqMZLu31xzYrhTxg8NjRjBqxjT37MgGLEXkHaWv3AGkoh6gOdna2AeB2Zx9xbskJE5YBEAyOxOU6i5KS8ygrv5aamh9TE1NcNtpKKGhtw7IsW42yH7Q0HiTHobPok+/Ykw0hEEJl9Ogbyc0dhcPhwIjatXqnoplFpQ1c4TkJM7yW/XtrkEBb2EGhx8fIfBAkXjLojmdJFnBatfANGieejvFqHR8fLzjjtL6yyZYlufmdLSxOtxkkHsXi5mlhUtoCnDd9Gh0iyMn56+mMunnoowDLFr7GMvNdHhjq5Ocp59DoPx7NilBU+xFZl/0dPjgnXq9kUNxerHCQs795y4BlJfQb22GJ/r/vDd2wCBsWD2woRxECNX5PbKNDADs7w+DoYQYlrLOIPewDisSKAa0iwT+T97T/Q3VjxJQTYMoJvLJ8CxMXl9Fp2d4szbsKF3uOaHdWglqFggHKyvZgaa6kbKZFzbb2emcy5b9DEImajL5rUfz/wqFp+ItSmbNHwRAK3sz0hL9Ni3QSAPTUMZwz97nDDA8AM9wMgKodGdW802d36YVOO8lkY50OKqTnDZCFOIYoEscRxGBkpiY3UJs3beLTX/+ERkWjyelBaB6E5rb70OaDOLKK4qq7o+++Dd+MryeJXnHlVUT276fktVdxDh488A+O4v8cjhofXxNdoQgt1mCeME9nn3kKFzoqqAy0cvvttwMwHti+dg88V8W2N9ZTtXAVQoHKmky8ahvp3k6CQRXL1Im4GvE5MoAh8f3rehsAXm82XXHJrcQIG2FbdVEKpkx+AD0aZtiwYykrm09E34GqtuFwRMlOqUSLqoS+KsU3fVy/+3JrzaguHViLZUksK4rTHWLP3o/YvUcgpeCrzmtJ5Ri+syimIumagMM1gcnnHGT6Wdew5em78DYY0AEiiTT4prpKAJ77+H2cmem2SzUW8yENg+Z9u9kx5xoeLrUpixmrWljhKkMogomT88lIddMWirJ4fXV8nyFL4Z4Ndqe4oO5xLhn1Hl6g6eAEvuGaSmuT3QG3t+vcwlsIYS/fmJbKY88/jpqhYljJYywUNQXF68YKB/G4Bw75l8iErKiBhriapiAyzcmfYgZpv3CCog88WERNiSrB4UwecDpQdlI4Mo/MP4vL5k/mxAnFPPrhRtZXdlIulQGPZkj7nmlKT3vb9Pkqtmy0PXgVrbG2OmIibeHEwZRT3LaHyvU1BMZD0R5j9dlbZnNSsR138dkvv0RXNTzOxF2spttMpblTftWv4QFgxvoDxZk+YF1M6WH4VVWM6BVUfOGTV/DELcv5cruPkVWN+AclVu8FiEgG9HwcCbRQE4qUpH7jCtCjWKEQVjiIXrYHxZ+FkpKBbLeFxYTr67cm54jhhPfsQRpHHkB8FP+3cNT4+BqwLIvXX3+dauUivApM0tawFyAM9957L+effz6TJ08mpWM1EZcHM9BBe9SLJQUp7i6mzc9k+Ll2mvWyL97hhSVbcDjH9jmGadqzeFX1xNkCIoGeSGPrBj5bfyn7981CbxjNF5+/B8AvfjGFk0/ucVNv+PAKUGwGhyMzrd99AXicVaAITl+wiarbbRXXgGjhi4yXcclUCnxtpJb1Tbbd6KtkQeqfcOwYBmddw+Trf03w3bdpWQM4Eg90e2orSAWMz95HFwpKL2aERKDnFjLJqqA7f7k/Cv6PbarqusYgCy4YR6bPyfwZhSzfYLt3dt55PIqicOcTL3PGqPfi+0tLszu5b11+CqNGHi74tGLLCpa8t4TjI8cTSAkSCURxJYrmFyI+Y/O6jsD4SODeSOQR6Y0iRaW6Q2fVvAmxuAMwLdkTJIntmS7wOQesR0g30BA4+6Nd9q6XNFEdybsFwb8eJNizp8ORn53B/VefAsB33q/k85bkB9OlPYi71J7lrfeXfgqAahq2p1K1Yzg8aYnZEOOzU6C2jkBAT1jmUKR7naAKjptVFDc8AKKGgSWUpMthwTZbu0PzJ66T2bAtdh6JLQJp2ZoenRxH+iFsJkVROOlEjc+WRVnzxDJOue+SpOejWxbaf8O9NaMRLCEovO+2hF652gcfZOuHLzCon5gQwzKwLBOno/8lS9ew4Vjt7QS++BLX0KED1kdaFlZnJ2pa4v7vKP69OGp8HCFM0+SiZ/+BIp1MTFDmnXfe4ZNPl9KuOdAyytBHp+LNcJFbuZdzGrfADkFg5xN0GJKt7kKgiLtXbCG4rxOXqZNTuZ/xxpfkjIbKHT/F7coBFfZ8/jd010d2oFp3fByCdvaR7ZNUBrPJHbQ9VgvB1m034VC1buUgHIM8hLMFeonFp++/i6KoKIqCoiooauyzIkgv9aC2Rah47g66OupJS70ah95Fzo5mFC2VkimD+Nvgdxh78GwqC9ayJmc5CHgLeLlxN3Xv/xocTtjjB3JYv3IlwmEn5BOxxHzdr0GTT+OuE77BQ5F2UmIDouxN61RUQgcE7LWoP1FibDcparSb6768Wvbs2I/H4eGc8LNUcSKFjhBtm+2O5cczx6KHH8VSOqjvfDjuQdq9ezNNjbXY/NFuuTSJExg3IZc9Wx2sbvZS+Yc1TDu5GCmj+EPlDLd6BiPLAhkKIoCFX32Kr3RTLPGgiCcgNA0D4TTQnCrbxG5mhidR/vmu7tuDQFDUpHMgXbBm15cx0XU7n42tPm7XLeR04zIE7Tu/QKUn+NEwewVCWlAXkwU3LNs4MUwTyzQwDDtDqGmatAVAo4DGZXVsatuE2WWia2NAccUCeWNBoWYnFVsW8cgDRs93sWjgboMjMnQoB1LSuWnhYrvuMbEqQezSAq4OyOnw4fL6+4pbxQNbIbepi+IUwR1Pro8zTgSCQRWbGWQ1IRwqQ5o/ZKavjS/eusIORBQqUihIxc7KKxUFq34f320aRsObm2l37e7zTM4bbyustnW0salmJ1tXf8XBveUgwKFpODRH/P6ZEsjK4LHaJqq6ojgARyyI1ui5RLasu4gFe0qJ5VZZtbqKu9tM0pwO/C6NzvIWThhgKay9bh0eoGHlKygul81Ciz0r9oVSCFQsp84oZG1zHa76xd3x1rFgZtsQNcNBqpSpeOtKSf3wUVTFgVDshJiq4kBkK3SJfXzMUA688AUlM4bHlvHsl9127fwtK5wGXQ6FVS0dca0YlxC4VQWvouBVVTyKwKGIpEt9VjBEOMZQS4QVpR9x3/UOcj+6iO8Uf4sFJ91Aij8TKSUrjptIYQs0ZzhQf3wjx178/fjvInv30vC73wGQfv55Sa+xlJKuZctp+N3v0MvL8Z1wPEWPPIKacmTLWEfxP4f/uMRy/wwCpsnv9tfyZHUTqaEuQi4P8zau4dLlH+HWI6hRg5DbzYZjZtLh8qBrLhQFvhw7kYPeXAB2LP4GKVYIsHNgbHeP5gP1NN6dfByNKRmYqkpaewu3rbuPYaeUA+DULVRTMmZrGGn1dQZ3Z0Hp8sLqQSVkZNRimvbgrGn9z9yc+wS+P/sRlkSREiGt2Lv9/5Hg5fOH8t6YSpyWRlQY8Zn9ja2d3NLWjopFs/5TQta8pPvZaJVz0xmJzDgb/7UzzCWVPZk6W9R2rhj5iz7ehPO3/Yi8rpKE+yg45mncedvYsOEbWNbAtvai8cdQnt2jzaJYkjveaI3/r3e+gWVUEtZMXju5CnkEiXbPaj2e79UdnnPiowIHd0/qPyC3G6Ilgmt9clZBwt9i4cBCxcQtJTe0ZwDgUroQ0kLiRgpnvF0JBG3NdgbSgJZC3/iPnta3ecJUdo2aguJw9Ep/I2IUTbtlnrLZZHSNJOxWDls1ETFjRotK2p2CV5092VDnVH3FbRtfokvzIJC4zTCaajHkonqbWi57aOaHojL0PBbpAGx0lLFVO4gau0FmjHqtSgWnsNuBKS1MLCysOL30rWnzaEzJOOJrDKC0RNC2tuCIWLEcKPDN3Z9ywf5VHLN1fcLflf3iJsJvJw4A740rFtxFsyf5rN0z6HkcKaVJy3RmXE045ZQjOmbC43QsxNf2OmAbgwgHxDJtC+z3Zx+swqtLqoq9SIeK5VD4cOZp1JZMxiNUnEhCzUvZlr6SMS0eSjPtNjCtwYfD4STUbqeC2DrUvn+3czrzZlxMeu5gVl14Ei0pggsefA3PxMR9iDQMan7xCzre/wDvzJmknHoq9fffj1ZUxKDHHsU9rv/l56P453E0sdx/I+ojUSZ/aUeO3zwom+lpJdywvYxRFQcYfuAArQ//Hvfv7sftgLt/9WtOfHsRbgEfn386XZEII77cxQWV+6m6fBELGnvkn8/avZVnbr6KF1ZsYZjbyeiGStYoGjfc/ylrH/kuGzft55Z7fwIvXwSn/w5m39Rv/dIti6Gvj8YZzGTyuWv7LQPw3OpbUEdXctUWO6GYJaVNDZQSw5JELckHd/2I2e9/StgJtcePxjd5SmymqpAzeiIjps/nu3/6hJu2pFH461MwdYOdX21j44YNHAzW83dXARfdchm/fesu0iqWkje9kdlDTydv0DG2G1VaWNLENC1c7y/hgx//kdSXnyUtq+CQ2Zxdv1U7/0zj0uU4n3uI9MwiLMXkIeNpbvvsOvxaKr858UnWRzbBJrjwpkxcLgfQTZ8UoAgkv6C8di85TYJ5V7soHj0+nplU2Pl6QULEtJi2oZYLMzu40dvFL+psieZcpYlrH5kdl6H+bMmduJjPjHm3810RG8BME9OyME0LUxq8/vsvcKRHOf3qaZiGQY6R2Svuwx6JW1+9mclS8Pmoh+3EhCLm85HYcS9gy6V3udHGpuF2KDhUxZ6tKvbLoQqbxaIIVFXgUGLbNQ3V4UJxukFx9Ctda91biD7sZtxX3d3n+1G3B/nxhCJ+csWUhG3pV1dfxfRAlDt+9fOEZZ5f9SYRFX7w+4sSlnn9gfW4qrrY9Qc7/4reFWLxt58g4NGYsWkjQgia776Wpne+xH1PW98fSxlL8GHS9dLf8ZffRt71E3COtJfphnAiF/Qq3niglj///UkuOfV8Rh93+IAlpSTYGUb+/rdMnzif+efMJRp7LhTsmb4KtmdHgIKdRVlFQVVB+YYtrGYZFoGwwY6fbcR9YABxwC32MqLjZz9AdbsQ0sIyTCzDQFoGVtSg4atSvGvW8uezCxg8qhih2Bo+8XehUN3ZzvnPVXDRkPP53tTpmKaJZRmYpoFpGUjTxDANLtp4C7M8Gj8ZNgRD2oaSYUosabdjS0LAtGj2gFQV9FgfoVsSXdqy/RFLsrStDlPLZf7QS4haBlHLwLCisXcDQxosOn83F7z2FfqQPIgaEDVYPHkePksyKBBEVwQ1BXnIkIPXf7iWTWvf47XNL9DhCRAygqR6Mvgivz1+rR5kEQ9uiAX2XmcPWxm+Ska2uqlo2sewrU2ktek4cnNRMzKRkTBNT/yVcGkphQ8/TNrZdn4b76yZVN5yC3W/uY8hL7/0tbPoHsV/H44aHwOgMtzjRfhrVROOyjqW3XJl/Dvx4IOEgl34WlrZ9utfYo6bhSPWoEMNNr1tdLCTP27aCYOHx3+3ZKidK0YCKgIViRkL9It5oEGPJQRz9j877nrzz9T85jG67rZQW5oHOJP4XgGbNeEUAifERRXWz8ihpknlgi9Nhn66Gz7t7cJ+hU+vnM/QlrF4ZAqqT0P1aUw5aRZTTprFuo+/4KO1S/jizWVkKIKwgD+1ruKJ5pXc23IB58z7VZ/aVPvT8IeC5GSlk5mX22+Nh2Xl4Ag282Tl8zRUtPOzmT/jjV1PAfC3055kQvYEWgZX07AJXMOGkZHWv6XdYRlYegsedzp+f3G/ZZrDQaKOJt7uSOecfI3C+npqZA7zvY14fD0uWtVhoKkO0tITW/U+MwWvEIwdNDZhGd3VjNdQGVQ0MmGZ/1kYoPSNazENCx3wJgmSBHBGOvFkDizmNFC/3ljRadckFGbTJbfg3bee4dLgYK468KAgBKgOwIGSbsfeKJ7E9e6Wek+kAyGEINAVQgDpfi+pzn9OwVNxqqQ5VTwOJa5ymgidWRm49sP7Hy9MfrHGFnNGdh5FQ4b3u7mjSQMqSE/NIW/Q6IS7kZs0snwejhny9Tw7h2Le7jAhZxaPHptYLZlTgF9C9xOgGzrtKzZzelYXf5piZxU//8MP2BcyeHr9z3E4nEycNS22HKSgCoXxoTZMRzYYUF2/l72Nu9iv9Xghf7bKVqCducfip29ZNKgqmD0BwK4xYyh+9hl8s3qo1e4xY8j57nepveNOgqtX45sz51+6Fkfxz+Oo8TEAJjs0ctsMGtJjFLZILZYQ8WWK9KYG9mXlkBlshJdfZcKFgpqZdmMvbbWpew+MngJAalcnV3U28njBMNxe26AwJURDLawJGahKCKOxsSeYLxpzRzsOp8kZjfVU3vk4ILDSwUofYNlEWgzEs2zIcvP5yZn87Mml6JEglmkipcmGN54g/5FXGfLichxjUjGHlhz225mnz6G9tpkvDm4CMhDAS9WCK4rgF+XvUJI9jvTUnoG/s6PKTsKWpNM1VcHl/6UiG20Bt6sW2fLTJaklTMi2dT9csfwtgVAwofERl69PwppwYwf66qhcvscCbFbAJ8EiotEouq7j8/mQsZiKpDiSFSwpj0jl9H8KAgMUJ3+++TMAfC5Bs9euj5XkBCxLokgTvzc51TKuGpcELkcUf10pG775Gml7V6Ofeili5Fhmn9NLtj3UMmB0q+q324BIEuAc0e1JRDQJO6K91RY4c7kTq3IeMSxzQOtLHTEc1m3kwhtvRcZiahRVRagqqsOBUFXWb9nJ/s/eRXoTU2WjMXq4YwDpfKQ5cJkjQM6WHYwrT+WeJWfhLMjkjntfHPA3rdEQKE7Se92jgy02G+mxXQtjUU4DIIE96I91k8M3rUe0dWIFurC6unCPHdsv4y64cRMoCmqC1A9H8e/BUeMjCSLVXSy5bxXXChcRTeCMSjqKNnDWNx5i2Y8mka34qDp+LiOaG2lIyyO3vZ6O1Ewq3PYg6B9SDM37KNRDPOhTOC3Wqf5txRaKXE4eKqslKiX78UKOl2M2reCFG19nzCyH3W/FsuOiHd7RhzZvAsCRoqK2gNMaaDYz8GAXNUMoiguH5sSh9TAoTrzhHiJX/ITGqr189eEaBrccvh8hBKdeey5bf72TTjNMFm1M1is4NZDNEp+Xb224r0/5YyosfgJoZuLBQPH5kEHBSTlzmT5kDk2hJjRV47IxPfETLqcGRAlFwgn30y0nnyy8yeXw8JS8EiXlBAqLb8IUDgypUugbzH332XUfPXo0GX5B48GOhPuxjzOw7oY4IgvlfwiWhcBEKhoBIalwmHylmdTEGEeZSSSxkRYqFmIARoyEAbnEI1o+J2/7m1gomN/8LpN/+b3DC9VuJeGo0/doSW2dtg7bhd/Unjh+pvaArc9jhf8bjEJLIgfwfAjLNodLTkmcvn5Lm200KUlYM1Gz2/hIXEZKaccAJWDOfR2UBEbjkE2oEYl7VyvBSBdeV/JMsm1R+/lMUXuO/8Nx5+DqWMpF85ZjWhGipo7EwrRMolaU+W/aInZnF0zgsik/R7d0dFNHt3SiZtR+t6I073uBiFaK0+WBPA/QvycVoO2dd2l/+22ybr7paMzH/zKOGh/9wNBNNj2/k/WbGtF0nem7n8UbrMcTauIXc26AXHhnRRPZZht1x18HXQ0MqiqlK1Xhy4nTCLq8fLp1GfWmCqSS4UtlucfL55vKcCAwDIus6q08EhgVP6avfSXf2LwVT3oqZmUnea7hBFd/hWqNQV/zDsEaHUEvqeGYiqnRadIVFOAJsPbAS3T3wN0Dbfds3x/cSKuRz5KvalGE3ZlpLfX4XBFUVUUoAvfuTThdtazdvxZFKKiqGmdwqIqKmuJFVVIwRQbVjV1oAlQUtFi0vCYEw0um0binlBOjJxDU3ua+Op0bHQbN834cX6dGKLi2LAL2oXSGiaQGIZbbxc5FYyMs7Y73xlFXM3rYzPi1EgjMuEiZCkTRI1HMaEwVsfsaxP5Yhv1/NNJJKNgAQsE0AEtBc2l27Ie08BEkz+thbPbofo2H3bt3M3uGSUa+j3DYsGMuVOWwmEzLsgZMBlgY3Jl0e1LEYmOg/3fLMjGjEYxIiGg4RDQSJKpHkO0tpOshhBnGDeiVHbyUGqGjVwDvU8dlc+JJJQkPHY0ZeeHKvQPUceDT8LlNIr5sRi/5CE+mvbQVrNtLqGk/3cGuXUPGE63bTdfBT2JtB8BOGSBawmimG1ljK6JG9lRCgw7dTAylJ1+QryuKquqk+BRCoY54W1NVF6rqQAhBWo7tjXS7LWRXM2guDOkkqtt9gupQQJW0Rlvwuj24HM449UWaYBgWpmHa8VS6jiaEnTQtxk0+TD9FJvPF9ZSB5MasEVtSSubVMGNJK/UjiZAeAG5HHnJQPieeN58vHnqMR358Bd/8r18xakjijMnB2ETKrfYYkpYZxsSFomgoioZ2yGg0L3sQK5qqWFi7nQdOS7zvhbxDxDXweTU//TQNDz+C77jjyPleP4buUfxbcdT4OARr3t3PxkUVABRqAl9JITuVa8iLHMBq3k+Odwxg8eimmHRo1lj7NWQeTiCvsYay4hFc3tzjidgRjrBD13vcsIrg0j3/YH52Pr8ZdjMAvzwwk/lFU+O/GQa0VANcREH5laRUvHlYXbMvFJhRwaLMHCZ5dbrK70l4XpkKOOqHsefdXX2+n7nhQdxdtuDXvcDmoYLrXdcn3M8lrqf583wXbN/X73ZRlIOjMIc32k2+sfj5ng2v9C03budaPMDBcy9MeKxP5ytwrMKlX9wIX/RfJrdzCBfwY5b/vpLlVCbcF8D+sl9R3X4waZn6+neor3+nz3czZqbQ1FiMyx1A87axqyLI3h8mZinM9vopaFPiWikybgL2/P0Lr/EOOtz+bg+9OPb77v+j2GwSLxEUpO1xwPY8KEgUYZEpQkzV6nCLKCYqpr0lYd1u4B8UUQ9AtNXbx/AAuPHzJu6v/4RvXXdO0usk+vHG9YaUA8d8CNNAOpxxwwNg3eqzMNN6LWudbL/q9x2uJquYknlfNqPETqH1486E2qtBVx1z5r1GK6/x5eq+2ywrThRm9rEOvlxYwpevtBy+k6+Bk76w21Dp+AksHj8EQ1VQLIseVpDdDnyjB5NM27NbbDTZpezxfCS+74ZlEDx4LQv3pfPRx4uIc6Njirnd72m65GKpcbLmwlIEloL9Lno+L4jOYJ+7jjnTTyf8ozBf/f5pFn/8EqNu/l3fulsmD6z4NpVWNqu1CwA/LqVnyHFFD5IjK6huXIkTA0WxU/jpwRQUvJyZex4rmh7v93xM06C5vQGn5iLa2YE+gLR6cONGGh5+hIzLLyf3tp8M6Lk7iv95HL0DhyAasR/kE68aQ61iEdZNhszNRVUmogjBAyNT+Q0g0aj+rAL3Vw2kXD0esW0T4U1uMqenoufnIAQc9/gWoobgnctHUlQ4CFNKdCn5y44q/jT8Rmbpm1iVXsUjX3zA/IYr6JiwjdyZ83D7c9FkiOovG3FuCtJw6oekFtuiYzKW2wBLxj9//MV3Watp3HvaXbZ3xJ4j0t1lCaHw5nOrUDqKOP32qZiWpGHhBvbvdCB++D2MMYPslPS/uZe8jmYemXYvlrTdn5a0MI0o0dZWTNPglWA9mZF8HioowgAMbLaMgbT/l5KPalvY6FM489xoLAlc7GXFkthZku2Dz6ZpwwRcszPxeLR4uTikZKLooMxcTVHRSahCs13HIr4ZC4muBPFnHWRo4WRSu/PIiJ4rECtNRJaRUn4+xkGD4HE+9q5qxgo5mDi/ELAwpcX+zZuoducwbHwBlmXvX0qwHBK332YFPL2tjqAyk/MvKEaasXPCHiRkN1NnfSP73RY5I10959RbM0NC2bYgQxSFy8d1xL/vTlqPsFkvj5a60E34zngZSyroiDETRDzJ4J5qE6krzBs/CFUVqIqCGtNwcWhONKcLp9NFe0eQd9bsoTX9UrJmTsVoVXH5h/KJZVGLRXYsbuLstysIR6IkgiOWp0bLH/K1nqt+YRixoNEeWG6TrNoJFI6+whbZs0xU2nFkpNgXDrudVC1/hoaR1QQm3ovDm4YR8uNzpsdGa9l9QePtzWqqpR5wRefjypqKtOzIFmnpWDKKlBZWuAJd+ZS5Uw7idOYgTRNN0dEcJg5VYlqSrkAHzm3vs6JwMqnF80CV9E6Bq6i2d6/COo9hO3eRevaZDNqxjnK9jplTZiFEzFMmBGUH9lDXntzI6W4/ydIQlDfbk6UvP/qc/Z981MdSkd3CKwCBY8nNjDJ82KB4e7WsmFaJlFiWZNv2RvZqKpOHpdjLQpZEWPY1xLKXiopFBs7YEs9Jx5zHWsdT+NW+S2ORaBf/2PwbXj34FY3FL9pZ8IDhKT1xWTkRW/iwdNu349+FWkqoWHoH0MKu3CYYDsPNUeiGjiIFUT2MheTW165jrWrTim+oN0lRkw9ltXfciZKWRt4dvxhQwfco/j04anwcgmMvGM7vNpXz0Ptf9bt9mtPND88eg5DQEYhSBGREm+ncpOPBQ+agkYh0OynVb+ce4CdLO2g5uItpY0YA9gP/RlsnocwC9oqz+UlBCt9oW4nEYuxl30H0yijZWLWDIvwsf/UAezQnRZPyuf7bkw+rk3/VIBTDw5i8+QnPSzEOIFWFySW2R+atnfW4jRSmX3oOSiwIbK0vFa0rxOyJfdegd43pYW288b2f4hiRzVmTixIea++SEJusIEPPTJzCe+ObpTRXZnP5zXNIT0s8i/4mP0y4DWDb+moydhwgOK+QURPyEpYzIyMov9dFitQYVDSWvfIrOhsMph5nrytHTYu1LxeTfXwu581JnMTujuWLmDEul2tOG5GwzJqtzQQGpzDv4sPvVTeUvZ9S7FC55ltnJyzz9P2fohgmN1+e2Atx33PvEaqoZc7F301YBqBqUYymWDQR99zz49+Pjr0ADMOEtytoaA9Rsdf2EPV29wvRizUykC7MEXg+ZDh8mPEhFfD4hpA74+Kkv238ci1Qjevky3GmJV7j74a1Iwj1MCprAbkz+lf57Nj7GusrP2XY3CmklpzVb5loNIC277/oHDOG6QsSt++qT31w3Jnk3348Jc9lUr7oeY792Z191GNb/vg76lYn1/noNj6SXcp8rQA4gCvHRW5+rp3jJmaDWbE4HmlJ5BbB2cWZ3HPRtIT7OuYXHzM818+Zlyde5tj5s/f6MKKifpWWyr4exe8uuoi1tuuWG9TX+Jv5TZzonJDT82y95rqdzkgbVQzm+RERnIpC2VbbkHKldHHjOcexcdP77HfvYcaL0+3z6LYbVCgIpfLNkguYue1ZNCPa93r1anwtL7+MXl5O3i+OGh7/l3DU+DgEdy/cyTYRpdjt5NzReZwytRDTsmc9d7y+hU16mKve3hwvrwLLtn6Fgj0YVz+4HcFXqEoX83M6UcijvSvI/RvLebuhlWoNpFclw9BpdTgxn9vLxK5zSCnaiVD7CnONHtJIV4Mfv9JKTjiL+q2JZknia8ldhwMhyts+xGFBuON4vJm2vLOh6/0OGO4JEwhvtxVULUVBGWCl2pIDS4cbuj0VciWhRw6EVY9vYEhVEBDI/r3tcaguB13eKK6AhjQs+zxlz8l2e1KOJGPakWXtHmjkHXhwjprWgLETlmUeEVMgWldn1ypZ5xtrRH9tT+evz2xLWOb7gKyvSXq8gdpjpLkV/45lBCef1Os3tvdAHEIBDkdN3FrfeAYt3zbwj1inobuBJAu4jKU2EI7ExrCm+dABoSfOEQPQkRIitTPGaDMMBOIw2fojiPjo8XwkOU+nYh/nrFlncNasMf2WiUaj/HnLJ3gSZFi++/E1bGvqpMWy0AaQ4Df1KB3NPZRXhmTg3NLC3beeizczg5SiQlrq2pnu9PCj475PyfTz+duX+9BxsqhqI2PSCjl1UyUhZlKkNLP6+HksfvpH7P6sjJTBPqQ8loIxnUyaeS4XvzibWlcV+ceORQqBz+1DYKskzx11IuOHTWfXD58GYOv48SiWRAps3RwhkIqCK5ZDJ+OKy5Oe11H8e3HU+DgENxw/jH+sPci9l07ipDF9Z9KvDTqenWWt9kAlYPvuRh7aXEl09mmUnBJB330QvaIdISKYbVHWdo1m2FSN73rzoaMN3ILsDoMsVeXOoRZXNoBotzUKUm/pJ84ibywQpt0cZHfmarKONnlHpuga6HbHu+zvr4HswhDQXnYgbnx0dbTjjB7OPil+5mlCW7eCUFCbgygDDHaWTBZ1YKOhNYSCxJWEHjkQhlaFAMHO4X7mj0mcH6MbZqYKAah/agvhaAfQE6HfHZcx0FBmSclXnckHHiEZUPn0SGzF5iPIMSJNE2uA4FYAz6RJUF6O4k8sK+3QHLx77iDqalv6GEb2CoaMS3uXlsEYJZRwPwDhYGbS7TUPPMzOwizKqWDVxWcyrbyetIgOf4RK/7uULf4YgJs+ewgAtyMcl6EHMKwJ5Hp/xt36HBxmd1AnoEjUoIPZp6zEldbz/MpYwsBDDZvekLWb7TJG4usuLcuWxVEGcPPntxOMBhlEj7fosH0NRNmmx4jrT5+kpTNIJGoSjBnyviRJA6NRAxCHxYVIKbnk15+xPhhGA05K93PaMcmzxCpCQe+VoO+Ka+/g4zeeIlrfQLiuBaW0ibmW/Twu3fga1z12Aj/JKuOR5qFcv9/Fia71hBjGOZ49XFcyDqfqYPdnZQB0VgaAPzDzZFvPx9kVYaRZwo0X/CZhfdZPGU16Szslk6eBy4WwLDvhXDRKzY5tmOEQuWedfdTr8X8MR42PQ1Cc6SXH6+SddVVMzE211/WREA6iYjA6UxIWAkPTaG1QSde7CB+oIlqSgRg8iGhhBlsirVxRb+A2neREFOaYknTLydUj8piem4JAsK1sK2rEpMu9B7/iI9QZBWHEUjrEIv1dRQQppWh0lPQRQzhpeCbBQNiOoKdnVmSZBkRNutqbURTF1gkQKigCRdi6Ad66bBACPWxQua7H1etyaMhoFBwOnJqG0o8OgpqWhv94myYsP1ox4Iw9EjYTsiPDj56Eu2UjB8OvU4gjKYVwIHSqEHAqnHbD1IELAxO/fTy7f7+K9C43BRGFMnpiG76O52iQO3kit6IuE70jcdwEHCr51j8cqhjQSpHSShpg2g0lpncwUBbQKXMSLxV1Y/drjwzo/eqGZcXy1RzSaAbdeydvX2ezVExFYfWwCYzPzcTfvhrLPwzNMRgJzMoqY13zUMKGm/PHtZGfZnv5FpeaHGgrIqPjePxxb4akLbyFYFELkZaDfYyPLt1O4ha2qkkEqTjs2IQkBgpG2M6zoyXXApFCxuOOzGgURRze1ZpG8jYCsLmikRTg/MdWcsfZY8hJ8/LqmjKqOwy2xRyhXqEDTsxge8L9RGKTCqejp61YlsW9j61hfdD2+Oz49ek4tYEnAw6Hk5yCofH/h+WP5rvff6RPGcOIUrr+H3zyxzd46Y5bOPnSczln2hTmb25nWcROTvmHaWfid/ZP0a0vqyG3pJBIoIpIAA68/SbuQYPImzbjMA9Sh9dNODOdcx965LD9bPrxd2ipruSsn94+4Hkdxb8XR3O7HIJ9WxpY+MQ2tEOGBmGZHPfl7QR8Gp+cviDuMxeWxVkLP8QX7JkJdHjghltVBukFPHWgr3x1Nz4lyj0knz3mKx2c7tydtAxA0Y6FHLctMGC5qsLj2DPK1siQVidz1vwaj973d7X5+SybNx8Fq991/f2T8vnzrt+gxtYnukt0d7XdQZPrUyazde/34x2w1A9iddjS7mlaCFUbzql5V1Kl2rNWGWMBxImy3Z973QY1LPnCtOgePk8SgixFoMdmfPGi/bRoAciISaoqaHEHeS1LZVF+Ok63ihKbOJsBgwsUNz/9ZuJ8EUPu/hij2Id/dHp8zz0sFRtTqsMICU4R5NsHGrBtCBk/J4A/tvvx+RRevPP0hMeadteHdOgmU602VMWW1DZlB0qBG0VzoCgKg2vLcAmTrvxBOLo68ERC8RlFnG4tJWZslj1n3ZeU1B4Ey16JkJL4UpMU8OWwQQSdh7b+voioCmNGjOWs+x9OWOaZn7xOONBbBdUCLAY7FUa5NRAK0ggjRQgL0NUUlgiTF0SAoHRQpLTyFzMPXUhewuC92JUrSWvCsATBqEZLOJW/nPxzPFqPB8Gy7IE05z4XquIiqhuYYTeBkR384WwVSzpwO/1oigOn4sCpaGiqA00IhN5OINpIViQbgROjO/eLtGLBxBJdmhBsZnLDXFrM03pYI92IfZ4bPsgMxwrUVI315QZrmlRGFWl9Cu6p1gGFjME9isk9bdfeUSgUxgg28HJOPg1qWp9r7BcRhqSqeMxOsiL1FKideL1eVFXliiuuIC+vx/iqqGtm3h/XoAqL+UMbEAIO1mjsCWWxIP0A35m03564EEtu1/0u+n4nhIK+DYyaAtyjihBOAU4VxaWiuBwobg3V48DSFNqCbXy19FVaK5vJHenlxKu+x7b2Bta0t/KNQSMZnTkSh6M7iFxg6GGe+s7vsKIHuPmpf+BJ8fPnK25CN2vj5zFj3BTm3dPXC/LYty/B7UvhhsftTN4V9fU888AvSau141Cmn30+86+8rt92ehT/vTia2+VfwCdPbEdDkH5KAZqqoAjQN5fTWqfRdM33CXXVAWFGjZqCc9kithflE1hwDnWGTmdHK60KeEIh3NHtVLrqOHCW7cKUUtrueLD/1HTA1irmD/qcEekHyPdeTIo2oSfDqITWzlbq9+/Gl17MpOIRPSyOWAfXPZu0Vi2jOd+JedWZMVaJZR/EsuzPUuJ/cRHpLZuZO/4sTEMiGmrIP/cMW4nRtLBMk8YlS3hp/AJqjFyOcTYxYXCmPbPuZqJIyZjKVQgp2Trrx70YHH0ZHal7PmBS+072HROIueslgcYOhB3cTnvUw0nZJwLgFybV2b6eC9NtffROISohvcOgSMA2VaHFpQCSAyY4NbVPPIDsuTy9hK4Er3lNVhW5CAuLsFehTdEIOh2c0KUghZ0h9st8jRqSezUE4FaUuFhSj/HVcwp16RqGNNnrTuO05mryLKUnEC72g46uIEEt+cw3Xe/CETbwi1Asd4yJ7AoQcXVCeiqWlDQ6fAwyO+ysrHoE05JkpqchLSuesVgIgWUaNDY1kz4ilcwJ0yCmoClUB3ZyEoXOUIi2vXZKgKmjJvScXfz22h8279uJ7kusuAlw/CVjKF29O27gdL9Pa8nvKaS5ATcNaQ5y2w0ux8ET0taDCJs+Pm+3r/G1fherHAFakFR1pHP22CakDOFXd5CZWhhzI8XaqGGh7OpAmZxGNBwgajZhtg6iypXGvkg9U/0ZuDWVqGUQMUJ0yS6ilkVUSkwpcRga7UYAjZCd9kAosTwuNotFVVRWej04nWn4Qp2kaCl9G0HsPdfajkddTcSczaBMwRBDEtH7ep0yPG46rHGYRq+g3l67EkKCVYjDXciHP53GZ7sOkpXqo6Wjk3HFeUwYaidA7Ojo4LnnnsMwUgiFQhiGwf79+/sYH9Gord5qSoXqDtt7JNUINw37hBOKdhGQJtKMsYmESZxZJGyj0Tae7ffC8C14lBGwt7/MttHYCw46DlLpKIQhhXTpcOBpeylNAT7gAPvG/oLsnL6BqpOutd/XbLS9meOuh9D7P2DKRVP46E8PsWHnZjZffBY5mpvzH3kcT0EB0jT7eEP27N8fNzzaC0uYcdZ5HMX/PRw1PhLgxCkFFI5IB6A0WMundRbTzzuFyp2bWL9pE6dOHU2zQ2f7zp1sC7TSlJmBFz9Bnx3DcWZ1CXsL1nHC8SX97r9gdxNsrWJW/kZGZ+4nLdVkxoy+Wh71LR088ehiCsaMZsHpcxPWdfWTfhS3m+OuvTNhmb2vfo4kyqjvn5ewzIH5xzOubAfHXT+bay+4tt8yLfc/SYoV5NjT/yvhfta1fYkZ3MdNV/UwFto7W/hjxRcoIQNhgcNhu61H3z2XCc7kAz7A1n+UwtZGLrluIpmjMgYs3xv/2FTBk+29AuRwMiHSwWlaBz858zhU1U0wYjDsy+04PAO7nWen+3l5zuHqDDubO7nhy720C6jz2J3yiG/OYlb24cyYnzz4LKme5MslXmkySrbx1z/ZTJZAzW4OnnQeqRfcRNE3vgPAd9e9zUdBL+vmn85tf/4rUWmh7tlMKBYQqqZngbRQ3W5UdyqZ86aSfeEd/R7P09EGN1zB7LnjmfuDBxPWa/M3z8YaYM1o1DGTGHXM4YyJz257gkHKUIKDNFwNFqYqmfbz09hxxyrSTMgVnWTqzaQOltBuz/SfzmrmbLOZzWYhVUN1dpTk0GL5UKOFFNeVUmxW0YdenuWg9bggUkRwppmMGXIHXW3NsP1OvjfuV8waO++weh0pApEAs1+dzX5/I2WFf+bNk5YwenD+YeVqHvmY5q6xZN3+CUOAIf3sa+1jf2dXqZ9r/nhBP1ttfPzKag6sCBGJfMaU/K04ndmcPOWWPiJ2qamp3HrrrQDs2rWL1157Dechz5Rfi/DMaT8gL+/XTBhvP9s2df3rL3se2PgG5oRGhlx+ITJqYYWiGKEoZjBMNBDBDOm0vF9OrjeD808ahR4J4kpTEKqFYegYZgTTiBAI2rLsmZln4/VkIJFEwxBuz0JRfLTp9wMw/tRMBh03j3M1J+WLFxFob2NbxT6e+sF1aAiiiqC11l5O++M//kHrisWkAu/cfC9Rt5d7MpLHHx3F/w6OGh+H4LpHjufNBzew8eMKCr+fTsPmA+xbVwUUIlSF/fW2QNOfX3st/pumTHsw9KUYBGMu7JzcA3z/lF8duvs41FjwaK7/EuABRo6667AyPo89QOt68sBDYVnIAYKppJQk9aUDbn8K8zormHnB/IRlMvWy5DsBhDSxDunU0lIyuefRd+P/lz74AbRB6NUP0K5KLDQW/32WzUDQ3F8/QFVU7YaUXCa276cgWsfi7LlcGPkTo5ybKSu7iREj/otgbE38lXWV7F18sMebLkSvz6DoFgT7j5v49eo97PerqF0hrBgDwa0kZk4M1O2bgNabNtSdo6bXcpglQY2VydyxAa29mZARxXR5UCMhzDY74aDZDl5q6ZrQk2TrULj9qQgkfu8AuU2EwDqCYMn+sEvfzA428/0fPMnm3y/BEQtTqCmMolVanOkqBRfQBo35K0HCoLATHYNdx4xjdkaEtcEMOpQUcGRRG8piqLMztvfeYm4SIT1Y7YXkDJrKluaPAOxYqH8B4ajtmSlLtdlfr/xxId6RU/mvm6f3KSeMIKbSf0LIbhgRE4ea3PtlRAwkkv1l92MYtgEdClUwbtxD/ZaPROz6HWp8GIa9vOpQezxW/2xGVxF1orhM2xvkVFGcKo40N9ATzNz0wQFcfi+TZydO3Pb5F4uIRFaRnXUVgwf3vX77f3k9bbEUP4NPPg+A/GOOJf+YYwEYu+ZLSt94FcMw2FZneznuve46UrrqCafmknrWxVw6bDC/OVDLhV/t4zcji5iQktxbdxT/Xhw1Pg6B26dRMjGbsi2NBCtreeOv5UAh7lATlWcuoNDronzuHLwjRpDXthqtsYO1WTNJsToZxgEK/BYMa8KT3kZFs0FW/4koUWOiQRnukzl5fv+Kot5Y0rRIPwyUPpDWwPxPKRkoy+aRoM49AW/oIElX8yw5IP0zULgYf9sldOzMxbX2C6zOIMH1PfRN96hUfBee388vj7zD3Fjbzpf7m1lV76JQN8jVO9Ec9rUM5kyF8GayYss/aoye4gYi5iHxLL3YHoOiCsWR/utQFlkKvgWkt95KQF6CpmQyOu2qfstacuBbZmBnO+5Gf8VNehggrua6+PdqpG88kaU6UEyD1MzDZ+nx/SsKmmIObOwKgTlA4OqhaG9r4y+3/whnayPOgsPZFFZzA07yWcA0kJJoNIoEhlv20kGACClNTfzwzAt45rVXuSPXppTe/c2/JqWhdmNbhy1nXx9p+Fr1PhRflr3c5//zsn/OlDqdaLAe9Cg4FBS3m+zwGgyRfLAzoxYOJbkRp0dMUMy44QGgRxMLk3UbHx5PX8One9lF03xJj3ckUAwXwhVJWkaYAmUAym5W5pnU1K5CVQ830rLOvJTK/cswc6Hq88coOeUXfbYXzp5D4ew5tLa1s+XWH2MZBo68Eraq2WwfPJWPLzqfHI+TsX4P124vY8HGPZyXm8EdwwooHCBg/Cj+PThqfPQDh0uhoznMc/fZUuS5nbuYsNGW+fUHDE5bvITUG28kZ+FjOLMaKDjvx0x59wJ0UyXc6uDGlvtYnjETAsCyzQAoUvJ6Tj7HTbTXadVY1LllJhaWUBQFQwqievLZkbDkgJ6PI9G7HkibA8AUTiJygJlxP56PQ1HcvJQM18fURZ6j8R0LVQkgZTZOXwvhrhKMrdX4BnaIJESbbnBWqe2lcZak4tWj1GoKVc58cq0KTh5zDVMye5apnJpd31unl/D9uUP73SfAIz9YhtPfvzfjmOJRlHfB9aPuJN+TxoXj5+JMpLwoxYCDpilF3KuRCDbXxS6j+9NwdvXPeMgtyKepqgprAIaFAEhADY2XicWQfB3s37kDZ2sjptvLlJN7ROzSIx42P7KUYj0LByo+1b62luLCMEzatTAhl0Fuh4+LdrpY/Pu1XHLj+ZSuWMGL3twjNkWLXYUAZLuzByiZHC/vfAJb3ceG2vU85dXlhKb1ZVyNvTSAJgNwr710VJ5/BiU3v9qnjGFIHGryax3sDNuiYYCmZZGZcSy5eWcmLN9tfLjdfduortvGh9P5rwXxm2YUxfCguJIbTaoUKEmov/a+bAO5P+MjfeYpyEYVMMk75gbCra0409PRA0HWrd/E2sZWag2LfxSUwDXfZ8Hefbxw40XMf/JzmsvamfWrpVxy2nB+d9IYdh43gb8ebOT5mibWbOri05mjST80kcxR/NtxlO3SD3atreKz5/YAMH7ns2S0luKMBnj0hiK+90w1jtRioid9j3zHX8lWPgdgqzWEd80TmJCmc8vMW7j/sfto1UI8NtRemzczXTglzA4LVCEwLckXYVu7YE7hGk4dshxLKcSSjpiMtv3ydFTT5Utna8YwNhoLSDOtOLGyezng0R/dSFQRrJsynhRH70RnPUyMaG0tluqgddwk0l1em3khe5zUAHpTE7qAHfnjqSG717JDjx/jpuizHOPYxSbXTFLdWoyNYtekO2o9rX0dEnhg3G/49Vln2tLV0rTlnKWFxCLjL8ewuf4KPOIMUoWFJ1pNduqHpBSW01p3GqHoLDwF3TM8QaDGXjX/Kq8Gy633BN3Gz9X+011ngBtGjkeRBlOd1YcxUuLXJWKSFs4mhUw+8Br8QkvlB8cNS9g2/vC9z9he7KLtuOb4d9372hpJpYN05nQ8jhXMIMWZckiJHlf3ynX2YHXVtNYYFTXOsLaNEgGvrVE5sX4j12VlIRQFGahC+2wJrTd7cUy+EoTCddZEGkUGJ2Wm0LpyCTO2ria9w67b0uPO5pTPF/apf5G3k9SszHhiNYRCmTfEX0oqmKNm0Fqm43G78WYWxAMtFQTuyhpGbqljijaB5qoKVKeTjPyCPuentrZh+n1IlwsUBanY+0cIInqEXc0B7p9yM+PSJbk+gd4QID3qRQAeXEgkzlyFLKuGkV4nN40dw6QoHCudmO0R3G3NTAqswJvSSLuM0CQFZwab6ZBdrPS42OctwCFUVKmSUTOOwWYRqlAQAnaGvuKN4W8zTz2NDFd2rNYKSItQRzNef49R1n2Pup+eqAUVuhtvRjadeg3bAouZWJnDfV13ocXmb53v3sjBjCFkeJwI02DziYMppgbDlcGsyCqkw82nw79FrZDMjuWy2fbuGAzLhXZmUXxeYIvf2Z/d4RY6ljWjCp0Fp+zoaUfdHkwR6wF6vVdVV1NXV8/4CRPweLx2bIgQtHesBbGCzIwFpKQOi32voIQD9rKtLxOpaghVA8WJUJ0QewlLIh1OhNOPqRu0P+lEmdlG3nHT7RwpqgOpOrBUJ4rTgepwUH77ckozGjj9Z/2ryQJs3fokjU2/Y8L4ZeTlFR+2vezj+zngeob0vzjwblf4zs9+TWmJHT/liYTJCnRSENVZn1fE8abGG6eMx7IsfrJiD+98sp8LTxzKIwt6Mtcuamznmu1lfH9wLneMKExYr6P453GU7fIvwvR2YCmlpLcepD5PR44SeDMN7mi8B861y+hESRe2Z8RIKWJSZwUTxYvoXQrn1Rcw5HubGALcF/gNd3xxJ0ITTAtKNE3BAEwL8jSVqKawtnYGme5WZg+qQ4gICiaKMBAYOJwBsrQ6xrGacjEJSV6cWRHjtFBdUIi3vZl2M4SQGs5DZ9QSTM1BY04OgZQ0ZDiMMyY00XswNlNTaXO6yKKNUiMXtTvKXfYYKKvEdNJkAE+4HjcOhOwR55LYjJ5OMlmuT+bTzRl8lF3R7zU+YeQ9nFKZG0+KlSkiXOb4CBrAJTPQlZHojTFtCqtnBtXUIJFC601l6VO/uNqUFKTkfUnQU8IOy9trW18mrmGZOFQTv6mTG4BJoxKLcAGENAVfxGJxsFufoOdaWyhoxj52N28DS0MN9eHdHALb+Fi4U0HK7lRyxD7b7zglBSOrkK+vBMtCsSKYPkk0p42A8VdA0uiwY4+WtXQiJsxm68TZfMt6mnKGsyc4ro/x4XYpWM5UOoNGjMFkV61C2LPiNUYrhdkazUIijXIsEeMqCYmeH2JlnsLjz5WTaRgI3YQD5T2nIyXuji5MVUH3eEBKRK+XS0pSUu3llp1tgsaADmjIGOPHYZm4LY3sljpcjoOUB/3AGLZq0BSJEE0DPT2Ndu1CPt1wLcMxUKJRUkJdDFY7aI14eEkZhCksXNE0Lim/GNsE6wIETucw0kLZbHCshXDv6BA7xwudoT7rWr3vmK4oWEJCc2xpzlAoqfOh+e3uM9RRR0RxkN9ejewQICXVzKKaAsywIIcyJkd3cv6eR+lJIij5yrIDzCMfVyN6hWR1HzuCBLwMdm2jZEtiWnNvlHR/2P5RghKHJ6g8EtTkudg1OgUtkM8wHsRan07t+v0JyztQadu9jt9962U+n3UaO8dOR0jJrPJdjGmsRlEU/P5yJkyEbdtPZPsmDYfXDUK16b1CwfJZYEBomIJrp8LMrlZKY/vfMn8qqW7bA5u/ZBOfd3Yxf9EWIrKV1pqVlLsfYdvOcaxotIOeBeAFfhsIMmfNVlYYDzJ69DBSx2XiGZvdJ63FUfx7cNT46IVIJMKnn37KunXrIBeac90ck1XMrPPupHb3nbAUTK2L2lNdzD7hJIx7HYSLbsB9w8NU7FjJJ/f/ik7DzeS2VXCevU/TUDgts4unftR/rgiA6ff+g7T0mVx+5tX9bl9Xu5bOXd/i4ckjmJw75fACZ3zKkg0b4aF7mPyrh5gxsv+8I58v+pCla9Zz0Xe+Q+GQ/uLv4fn3lrJ/0xe8+YsLyfT1tzZ6OWPu+phw1OLHp3pwagpOVeGk4RPYXldJKGricrj4ZG0TojzId3M76A7ZVEQs6Z1QEAWT2VYbYcx2e/C5LO/H8SN41C8onXsJyCimGcGrb2f05sV0nHoF3z6+f92U3qhc/z5L7rudeYpg0PQR3HvRewnLXvTMFag4eO265wfcL4CSVk2RgMpTEks1n/10M3ur0tlx7zcTlnn+w6tRaebKsxYmLPPeS+cjpWDylrUJy/z4j+sJtUW4597j4t9FzUdZX7eOWQUz2D/taV556q8IRfKTu3/Z7z4Gb1vCh5t+zONTH+b4yf3nK/nzs7fwd2MVM9au63e7lJLSseNwZWUzYeWKfsv4dxyAF3dxUYaTkvxCJpRkMH9eSZ8yv3/pA5r3VXPr3bfx0NINXOU0uf/0YwB4a/nf+a6cRP25f+Ok0XaAYsWBT+l44yo0bzpf3LgBgK3b97Fq60EGn6Vx7jnnxvd9O4c/XytfXcW25VGu/M1UUrP7Z1Gd+NwFNCl74/9HnPDBzHI+kN/l7OqrmTZ+DC9OvpttBy3K7rPv+ZQ+e7gHgPM/3c46PUL1GXbd+8vG05uBsm7t68z6+AZqrlsFg26n21qUMd6yjAu1yD7/97z3fG/T78MoQiKlEXuZuJ5cgNS8hK95DUwdaelg6mBEkLH/vW/+gOyQh2kFP8eKGhihOvy+DBSnBaad7HL1h0vA4WPQzJOQhkV7exvOQcWoq0oZ1NnMYCe8hYeWtCyyZQTDMDDN8VSWN+NPrScjsw7DjOJy5SOlGT8vyxI0HzeM4373IQ8Bg9Zv4YEuSUVbOxPz7Zw+an0Iy69x0DIIetLJyM2DSpjYvpMDsmd5UAJz2st4sv51ALZXV3PCujqGXjYa//TEsVBH8T+Do8ZHDAs/fITWlk+RCIYNA2ckQuHuFkZV5RLY+XNSMWlreYeOY8vwBIewZdF7TKYe2bqUcGs9Xz39RzoNe501WO9l85NjQVV5Of8ixmcOwAzo5WpNjr6FpCXjsst6RxsA7eUb2N68GsswUYTGiKln4vbanapp2PVQk6x3mpZdnd5KiIdCzfsHVF3C7z/sCWr8FasPKyec7dw1/oyE+zn7qUWM6UdXQwDT1tza5zupgitv3GFlD8X+P9yC/uQyjgWOLZWU7W6EixKXt702Rz7rkRYIJfnNMi2BInrW8s2uLipvuBGzowMsi+xbvgOKBUegTNqfrHZvBEOtFMhdbNrQiGkZWKaBZUbBjLJ6zxa+0D38dd55APw8quPU+r/e0JOErP+KDHCNYnEizpKShEXSLMhF8GGrTqi1Bt+uGtbOLMLv7RHf6r0IfOhj8YdQNrjhQN2+uPERfedGRoS62DNocrycqccChgcWED2irLHn5kzh2ea9/GH2s3jcfgSCfc21PLTtBywc9DwLLcANvuFupLwkIYvkSNpZ79+On3w2HYt9HNz8DoWDJ8XvgeAQUb1/BVIiNB/e7KmJy1i3omqZOMfGAuP7yTlX9/Zj5GRkM/qKk/t8/8ttmyhKT+OOE2fz2SdrKMjK5DuXfSO+ffc7g6hK+xkA7i4/c+avisugR8MNrPzyWPy9Qkey3S7oCuNQe76svqJHhmDaZ+8iHZmsziyipKuJIT/4HDVG65eWSfXdx/Spn1cR3LBvM09PPhXfv5Dq4Si+Po4aH0Bd3ft0OZ4gmCVQhU1vdKkSKw2Cf9KxDIk0BYGh1bRPCuIKNiKE3aDXVZisubmvel6DMzsmeS0xhEqTmZhuCXYnYiUJvRH9LBdYwSjXvbOZcp9CVBPMLd1BLrD56Zf6/Hap62XmXn4mHn8mqw/WE3I4WbV8Hfl5g9AcGsuXryBqhdEcThzCSafRjCIkziSd8dSiIWz23cWrZ3yAbli0hALc8NwOpOXlu2dGGJFVyJ0rX0OKUuBbCffjPzaXP22oZfGtx7NV3064bjP5qfmk5RXbioqKwvcefoLvK+8xJrcZLT1xIChA5SsPoD+5DHnuSBw3/Bc7f34b7shAlFD5tYwPPRq1Z3xJYFkCRekpE1y3ntBXX8X/b3vjTfhm92JVYnhSNMQA1NCT9Oc5QXwICRwo7476KRTYo8W1C5fy0vmHBysq3TEER9AGE26PDQZqenrCMp4ovE0K3kmC6nEjOOfVjfzx1a3ceW0vmqXsSbcmpMTqHS8T29JEz/PkNKOsKRrHKZf3LDN40u1uzVswsHEXz9KbhAnmiwVEHlM0khS/fX5zhoxhRNYbNAbbsSyLN0s/YWvXW0RNE6ej/2716zJbfW4vZb5Cwu21Axf+Z2GZ4EgiJx8vk7wPM00LVft/7P11nBzH1f6BfhuGd2aZeSWtmCxmsCyDjDFTHMccMzuJnRhjjO2YY2bLzJYsW5LFzCwtM+Nw0/2jZ0naXTnv+yb53Xt1PhrNbHd1dXd1ddWpc87znCPrEVUFKZLMLmRAXVUFC5+6A0kEURQ40GIlKWMsuXnbCEZ5+WXZIGLVOAzFT5PLZKuN8XYhlNTIAuqjndUkyE0IgCQKiBaJDJeVmYuX8scDX2GNUnGlKlQ+NpKqAX8gVZOILnydDLmE61PO4oXmd3jkjGweM0ARPbSq2jHl4z8sx5QP4K41D7HNe2TE9QXNColDEnCffCrRY07GUbGCJv3vjB79Iu7M0Xy95WS8AfMFUWQbaBqtsocf0s5FFkVEwKvrWOT+IXeC0O+436V8dCu0cvUyFqUlI+sGqihQNnwip7WVMFFaT/zQFiZN+ZQdv7zPJ6UG/9DGEgi7YKhpObCu/IbdB3d0PwGxlkSa21oQZBFZ8bBp806mTR7T6/U4xGgEw8aIlC7I5PtXWVldXMTtM05GFES+bVzPxtL1/d63wyYTtgjkpHkAD+QcCcH8Q/wOJrQehAZQX5tPS7yZo8YQBHQtiD1gIIeDhP0G6s9R6NMzGfroF4iSzEFnFEKw/cgTd5Nfk1m0u4TVMN5gc79lNF1A6Gb5kONNkiPnlMnIsbFEn3UWtL3C0S0fR5+tprAcgIYbdiHLViySBVmWsUgWRMnCU4ic++xsHky/knumH3+U2nqXq3bsosqdR/7uQlq+/56YBX27EPtKogZgqOY+PQTDRyWR+4nE6wdr+JOuI0ZWu+H2BqyYE4yIyToKsHHPCg7Z03nKWc0lk85A0RWCahA0Be2wXCxGJ0Lo6O1XX1oMZKP3c90diol+WMrjqdldGWS3Vh9gpxfCmtq38nHUqzlSQpYoLOH++/D/SoyjKxa/poyigcV2ZBlJVZAinCOqJCFrGqpuENYMNB2c+KmoGMF5VatQkt1U5SQT1JsQJJGkcBIDtx6gNrrLqhXTFMChqnwg2jDCCroQiX8LgxIQ+HTFZpJPbgOgGpkFGVZeL/0b2cEQddbJfBt7J2U70lg53IEhCIyLcXFLTvIx+O1/Qf5Xysdjjz3GH//4R26++WaeffZZAGbPns2KFT19vtdccw2vvPLK/+ZU/1b58+x3OOc701c7KXkMvxtyDtetuBd/AIxdNfjWvIGPN2ifKsElQARmeLP/BkiCmZNSQRBpKG5jb00bNw5Mw2aXQRJ4e3sZdYEA1/7zZyQR0HXCoSDuKBeiYCaqtbbFIhUWsfrbL5FkCdkiY7V3fCzU+CtZE15ATJPCQd1EgHzWpkI8qBGzvAhUxQ2nxBMiJ7wYS0sDeSNOZKscIK69DaO9HQQBr8NJ6+DTuCI1BlVXMQyd1Mwk1n76IzTldLbJj5+/RuaAO7p4I7shAFSlBcQA1a0HEQUzx8iQJBvDkkfQFqxHEiT0SHryllA7mqGh6QYGGrqhoxkGuqGhBltINNrZW2Ku7AzdDHDUI8GQvoMryW/dSBALdhQkRUVEQtBNX7a7rovvwCZC04h4hr6yrHMi622pWd16gNZgI01GHKJkoU0LEOWXadh1dPI0gCjVhtsRS3lpUSftfEfeDyNCix/VGkVAj+Xn8kaz/eIyEX5e04lOEgWBrH3rsId0ApWrCYYkQnLiYeZ6AS0YwmkYtBUc6Iqt1e0Y3XJ8OLUo2vUonF4/gq8aoaEKPRQkGApghIIY4RBiUQmnNz7Olvg2tu4TujWLiZAoayoB4IuGnWzdYyAJJgxYxPz+timZBfsM7lhYQvXCO9gYHd/ZFyK1IAgCDQMGM6C5Ce/3hwU7Rk6oVDVQSiy2dhee9RXMTvZQXN3MrW9sYsQIA5ddwNdQiQzs2rULQdcJqzroOs/v2wPxU8lvX0nxI78jQVWwGjpZGKzzaXy6c1Pn6RoqmwGZlv0qh6y1SJKAJItIjiZsThlJsiBJMqIsI8o6CCrhUIhwKGhagQQhgkASTWK5SL2qph5G8BZRpnS9s02DqorDYkTa5DAir/+B9hGwxRAVqP/XD/y1ooXR/S0oQT8Wiw1R6mX1b+hg6X8BFdYELPbelQ9LxPKBCKfn27hkZrcEcK/Ogaqt4MmCq3YQfxhlQMPmIT34idJKW7msbBVzB03BGmXHEx3N0FmjMcI6+2vaCGsSvlorruQwbHbx9E8aIUca+yaeja5Hk/T+p1QMu45HJg9n0ISeWcuPyX9W/sdQ202bNnHeeefh8XiYM2dOD+UjPz+fBx/sYvd0Op2/Gjb734LaKprCe/ve48VtL+KUJFqUAGfGhJkdpSK2gPphIvaT65FTVAgNImr8LZz2cmQ0sZgvh2AYRCsC52h2ZF1A1GGTEKDQGsSQdHQEdMMkmDIEsYOHkRubOxAWfccB6AK8sCCaVlfvpsEzf/mRmz9++6j3GZZlFs99kqhwf5q+wZDzrj7yWDP4nLVeme9aj75S8OhQmPNen/svWLuEGKX/9PQAKdRyLR/ClBvgxEcI/vga2pK/43JX4/enUbsmjBoQyV26CTk2BoD28jJW3XwBsmow/xszHqWgfh2luy4BYJ1X4uNmc1BU7NO5Yfm5v2puGO2QyLEd3Zz/XZrM/SP7Zrjcun8+abVdRE3fN/+JktCEHmWuTzmr12NrQi+gGjkA7AloFIS6VuSDDn1KZuUvPcrffoVEeVLfd6dKiUhaEwK9u6iakx/g4/seJ67dXFHOefmjPus6c+3PpEQIrQ4XzRD4IHQcej8WnylyCYNlc7L9cOIJBC1WZMAfcQ0UrD6JNtXGW+ophLAQxMrP2jiautHeOXX4Q5u9h6soKm0bGdNf6v3+g27WbzwzkpunIxmNidLBMKh0VbEufUuf19xd2vc/CEbPd0OIUOyEBrrR05xUnzL+V9UFsPH1c8lq2EHKPQd/9TH/ktwf3eNPzRBQkVGR0AQJFYn7B/+BldHjsIkgoSMZOhIGMjoiBjIGAzfYyK5pxm2zIIpGB8Iau6+Q6NSNxGVHszdksEsOkuEOIosSsiCb36KMRZQRNQlrGQy2JZqKoSQT3vEZzuwhDLnZDBI9sHgbC9d93SPh5PW/vYbEPBP2fWjumYjuaFxjRrNHL0TdUUtCSwhHXWGn2y5h4XckjumD/fGY/K/k3w619Xq9XHzxvNfRewABAABJREFUxbz22ms8/PDDR+x3Op2kpPx/V/SwRbLw+xG/Z9GPG9mfsAaAZFlHUwW2fzIc0WLl1op9UAGwiaUHb2RK4lCmu32MzzvHdAMIEppoQRdldNGCIzaT+kX7GJqeyYMXmnlOvvnmG7Zu3cof//hHbDZz8nvx2mUAXPfSXDRNQQkGCYdChPxB/O0+Nu1son5FiKvj4xiYF9N5zXpkta22NGEMME37NTffSlq+k1hJwNA1KsISipwKCPiWbSTti7eZPSkBS0JiN4iq0en2Kdy9hYYiN2L8M11gRF0joDbz4L5nCEbe+mjJoC72OgbWFjKrejeD7XtxaiqqKBC0idiDOmmqxo5pDUiCiXCROlfTpkuqoDSAvwTGzD0NIbLKJsI/EaG6wL/uHSraIysqNUjgx/exrb6DsCrTuN9F4z4NLWQO9h2Kx45rfo+0fS3ZIdh8fC5VbSXYZDv1bSY0MGDYiHPnc/OQmznpTfMVaEotwTGy/5gSAJZXEJZk2s7LiNArdHAv0Jl8rP3HEFlBgydSkzuZUSNGkYiVBEr2jiMcXYPTOpCk+iUkjY4nb5S10/9mAHxvVt0w530MQGopJ27bHxEGyhgRtFJoSQluXWf66RaWftyMkTeY3IfPQJctPPHz47QIQYKxYU7053PX+Y91AEt7oCGWNJRwT5WF+zI05qYMRNVNB4NmmEDUAl+IV8+6iHveNa2Xa3LiOuHe3dcu8wrrsI8Zw3U5qT3vI/J7V3Ur7y1r5ezB0VwxdTCqZuALqzy4di37KjTeumIk363YDGVw5plnUr18FV+PmUF3vtXnxUv5KDSBNlz88/cmN8RcwyDs01E0A8UwqKwO8881Tdyan86U4Uloik517XYAUqP/gWFoGIaKrmvUNS5Dtv/EuKEDwBBNC52ho2lmQkVN14kuc6LWiUxUB2BBoio1gDujJzKmeH89ddXJHDckB1mSsJa2IrWHMQB/gp1AtJ0VFpWiXxFk3CHbVr7OxIolrJl8H/+u0dRv2PhFH816YSynjk7D0BQMTQFdxdAUWnytfJY0H12UuEE/gG6AZpjMumrHtw55tW4CVheyJRxJJCigaSLNxkSyQ3uIaz7AFS17+EtSHivQUDFQAVWIfAMpNU6mb0+ikqpuzEJZDLRZ6HBwDT5pLH+aNRxBEFj63vesq9xO6d6iTuXDUFUkTywpD9zWo838je0E1q+j7vabcdv6Z/A9Jv8Z+R8pH9dffz0LFixg3rx5vSofH3zwAe+//z4pKSmcdtpp3HfffTidvZvtQqFQJysfmJrTf0sONXo5lPVbbt6hYUPhld2nIEtuTku3EKOqwJLOsg2+UTwZ3E1GewNa1U6ECNNkRdCM/Iu3PIxDWk8rM/AfcLDvm0raFAsHCkz/bXdzrGEJYY/W2LV6NRabFYvdgtVmw2q3sfarzbSUpwNwXFSYOcm9wAFT4tnW0GD+nDKFwWO6UsJ3NyweKmtHBYZNScGdl9FrGwSV7TQUCaRqrdTXbqBcCPNobQeSReCczJFsb1cpaC3kHHUY5z3zDi5LM4NON+8rfPNGrLGDaf7ht7i3fMOY/Hl9tvePh3awvrSWM2eOO2JfWFGprG+i6FASFe1mPh3UIOrGd7FqApVFJxI183jcwwL4t+4gvH81VX/6O3F3XEHIsZr2R81VfAYH2be5Z6yDIkbhsMZyef4cKlgFQFwgh4zfTOdoUrHRLD9m4uQ+yyzeuAWHX+W3Q1L7LLNltY0WMY2Ymv34iWfC74+k2K9ZPAnRZiNp1mnm7RfuhG0QMyQR2zRz4t21ugqrBnknzGDZh58jJ8Yjj57Nxl1L+CapCQERwRBI8qWTFNc7sZI70IohamS4LAyJPnKaGxcHr55wIrfEJ/L30YMYkHskIRQAhXXY3B6Shx+ZdA9gl14CtBLjsTJscGLn9rhdKpKkM2fAMFZ9LKBjMGbMGC5ua8Oz6ge8didDCgZRHL+TH6Us2jDHkncX1/DwWZP4y3vbWNV2mLVFBHeinaFTzGcQXuOgKSAxaMTJWGxd1sN168rwB37i5HMuROqDjXbNl8to2aFyQnAKNizoc5PJmpTfo8zS1k3s393OZWcNJsrjpOKeVdCB5GrUybhzHI0/7aNUCRx5gl6kcuP7jF12OwA21/+OlbU/saCwScvnXX0WYoPKjiofjUENDZFKIcaMpxhittclk08kxxVzRB2+oMLbX60ifVwCp0+PR5QEREkg1B7gg+caSJ14DuknzYFHMzlr4Ak8OP+JXq/lnY8fp2H7Km58/0tkScZQFZ7+/YUUNtv48qVPccWb/U4QBGLibGwvLiJVTCMtZSDVW8wxosUfgn17iT5QRuzgrn7qjHdjnTKeOqDp7XdI/vOfCO7ZQ/1zz5P9wfudCJtj8p+Tf1n5WLhwIVu3bmXTpk297r/ooovIzs4mLS2NnTt3cvfdd3PgwAG++OKLXss/+uijPPBA7/wD/2lxOAyuWhqkVDqf99whkpQG/qaJDLAmc4NV5ePQYyQJzRgI7NTz2CGbron60bfTYHUzYlMXB4VfzMXBek6MTG5sXcJLXIqPBGyE0Da+CtNv4POyasKiF6EhntUfdqwBuks6QkIZ744YzhPxfbsohEiQW3+Bc801ftyYCa36ktKd24HpVLbczyFD5MU60+pwYnIeMzJmctKQ67ht43scai3ijKyhNM+YyZik1wCosp9IWuzgyAX9Glih+X3nQ0/h0rzo3RyA3RGm8RF3gLJjGW6hCm+DjTsn76ApsYyT7HPJaIVx+6H1i9exThqNT0kFKpDbx2Fkj0GwyaiagqqryLKL1oYNdDjgv5hk8JsN/3cEQ1/VNtMQDBOnHt2bOap2LaKg0yAMpzfVvDvnQ+iNW7GVvwmA4Oiit++eRcdAZH9bOvtvWwtEcQXdBvmELp6Kw0WJxC7I/SA+BjjsfJM/jBF9BCGbInSatnuTVI953UOTerqjNJ3OAF17ih1/mdnPZ86cSVVVJfv3H0D3rSU/JpM50k+otuU8HTqdNVWJzHthFTowMT6KeUOSkREItYYoW19LTrfkaqqiYBgisqXnPfoDbRiG0KfiAeB3mP2vLlfBE+0gf3ROn2XFSMd1jE4ksMN0HyXdMMbceXSAU6dIB77v/D10+T2saCggZ/z5ZGeO7Oeof1EMA4ugky80gWHwbpFAOgaZ0VZkAdSaemQxRCHpuEONZDl6wdgCLY2m4teyLsi76yqP2G9xewgGW7ABorXv3DKhiGImy5ZI0jobkt2B3lxH0cqPscf8oVtpL1GMQQW+fH1P1+bxfwRg89/3cdUziVhcXX1Njosj/soraHz9DVq/7sb9o6rwKzJrH5P/W/mXlI/y8nJuvvlmfvrppyNyB3TI1Vd3xQqMHDmS1NRUjj/+eAoLCxkw4Eg/2x//+Eduu62LYKqtrY3MzCNRD/8JSbFZeeNkC7F7wgyqKmB+/c+87hnJvPhZzE+LpqxlIO3F35DW0sKZtSsgkqIiZceTnSa+dNtpGFipSBhE3LW18GgGQlwuXPYtdX9/hSZbEytTVvJhocaK8RdR8NzTBGJc7PccYH5GNKdOu5VwKEg4GMLv96GFVJrj8iiptRwxbq1Y8g8ulqbh0Xw8g48sQOsn54YY4e4w+slI6nTkUy8ofLw/iQ0OL+kBD/eMu5vZk7rImsz5UCfbuY+UiOJRMfIx0k4/bPV+lPm3JSCiGyIuzYtqdZM2aAQAfkVnY3kzqqrjVFr4PWZODItuJp6LSgvxSGUz9+QZOKI+4sPxFt7OlHj+FY36u28kKsOgDUhOP5EhY0wYdGl9Gb/svosMYxOZQKk0h7e//J6/xaSzdJzKX9UmLHv2oKsq9thYYrO6Vk03/elhFqxexrq5MykbOgdNtvNOH/d018ZCltWobIyTqPPVkeRK6rWcYBiI6AT0GOL/srxze21JFZqiEJ+bYXKKdGhorea9B497CtuoKT3bOFJk+tBm2rytWFMSEUQRURYRJJFlmzSseX37XzsQJf0pH/rRHub/QpTtP/PJko18teNJsjz57B8wnAcfvBdVl+hIFvD45eeSHNB5uKKeseJbXN/WxqO+45icMJKHzjublHgn/jo/5c9sRcOgXLYgal3XrKkKGOIRvCnV1VUkJx8FRiyb+wedPY6EhN6tEJrSs33iLxwCFw7pWehfaMLo895k3U9PYc+ejLjlbY7b/SbOHS+yauC55M6+mfTkPARL/1lzjya64kcEpo8cSMkFp/ZapqG1hRFbS7jJYesK5D5MRKvKpKgPCOaPJWvASHTDQNdM6hfRIpM2YzLNzSY3qdSP8hEMB9EFo4dV+KZX3uGzR1+kct96rnpuBrqqU7i3Ek3RcevWLt6ayCG618uer1ZRFEhDsh0J/U28/Xbso0bRsvBjfGvXmscEg52InGPyn5N/SfnYsmULdXV1HHfccZ3bNE1j5cqVvPDCC4RCIaTDoqUnTTJJXQoKCnpVPmw2W2fsw39bZMnGmIQiRsav4qSWpVyV9kcqbOmsQiWYbwVbIkNTpnHD06alZt/CNPalxOC+9884vvgT05NKEQQDgRBZjbspKFhLnqYQqCkisN+0FMWF4kj2JaDKBuWHthKIMl9GqyhSs64S5SSBqPhkPtn3AY5Vz3BpWzs7PXkw9i0Ot2n8UlOFminTJEazr640onxo6I1VlJ83j2CdjiBBzPShJL3wJXHpbkJAfxZGf5TOG5PuQtIETpIm8+CVz2Oz9lQ0RUQzZqCxAICDp71F/rjfHFbT0dkzPt7rYYjRgACMnjyDc+ea6d6HvL+WYLMeCSqLJWCRjojDLUiJoSgsUdQocYJHYfroaHae50NqCKDGJpFIDc0eJyV1RbQHQ2zffgUZUbWdx78cOpXyGNOdde8gO8HN5bz86drO/TdedRXx6ensGzKU6yLbshZ+DHzMJ/POYv+BNnJvH4Mtust9sLG4iRPXNHHfyFgWpVlI2rSHnbN7Vz46xCG2YESgopX7C3jzkRtZOaaB6niFl2UvM7z1fPv8dGY35WCVZCxbH0Pf+hig41OdVDQ8hYqN+op2ht71+x51f/n4YzxRnUC1J5VZpXFU7lzKw6OOhNuGdDPQWeqnY2i/cuLs7Zk/e+lv0MJhdFFiYPxcnljtZdSQBPITTZfIw4vMGKvBB6A2q5HyhCxa7NvZl1pBWkMWauxQEpobeffTVTT87j2KLQLJFPPPxaVck7UI9ckcMxQL6JjahjskfErXG6MKhxDlIzOxZqSnc7Sk0R3SX2x+faFZd388bT3TAPQvDpuDKafeZ/4x8gRC4QBblz7LqC0vEv26SalffPlKcrNH91NL/xJub8EO+P19u4IE0RzPLf30DVUIMT7qM/aMPZmsCbN6P1ewFQCpM98R1L/wIg0vmAk77aNHocxOQT+M5lySZdRQEFGyY7VawArDxx+Ze2n7njrWr6qkqaQNdyANR7gdsRfIsyAIeObPxzN/Pt5Vqym/6ioOzZiJ+/i5pD76KOL/I3PR/z/Iv4R2aW9vp7S0tMe2yy+/nCFDhnD33XczYsSII45Zs2YN06dPZ8eOHYwa1bvZrrv8txPLBTQdx0NmXMVrUi6P+B4BIDg/DQSBO9/9J6es+6Wz/P6UOIqSYwGDKDnMyJgapiaW9ahzTX0W6xuy8WUPQXdGcbhUOitZn9w/J4Yqp9CSfC/RQeiY2JtdXe2TVV7OO3+7i3abC3fIB4DfYqPeFUN6az1eh5sYvzkA/Dz7IXzuxB71G5GAyZWpL1Aea+assYiWI1QIQRAI6yq6oREvpfF90SYMICRbUAQJRRRRRYn4cJAoLcji8WMwMT06CB3ZaMzvH0qn8V3JPGJlxUw6p2uErXaCuoQhgGX0Tzi8P3FnSZjfGjWUG4k8pl2GkbiHVTF7elzXVJfCbYE2Bhf6CNhF1k6MO6INq73JpEYUkIuFzwG47qOXyGqspDJ/JGo3noIJAxbhtreReN+Rz6IwazKViaoJYxCFzhnFwIQyVdth15BxrB0/F1HVcQR1Llzjw6mBLgKCwL3203rU+agnC3GHxs4cgZ155kA/p+w4ntO+OvICusmLNV92/vbLIBrmx6ZphHzf8FXcUEqd2UwNayw7LYvYyvuQlQ7SKvPZ+qJPxh9rKo8ufJ31dVHbCXiDNrDLSGG9EzLcsVuIzKphm8iIgkPMqtnfw+3m3N2THr4j2WKc3oYkiES3tvDbvYuYUHcA1Wwe1gxz8tyZdu7+xE5ewEF8RVcekfo7FZRcg9ZnLEgTb2WcryfzrS6GEXVzJRs0zL4tOmoJxh6ibtR7gBhZXYsM3FNPRp2PCkteV4I2zIsQIsmPwqpGm2rlphF/RdOiOW1HC1GhDnIys7wWElCFAOG4CkSpq57O/wXYkZTNT4MymeTvbLpO6fxt6KC1IVubItu7kQAJArqmcXLNEq6rMBWQpePu5PjT7uXXiqHrFO/dSFreCMI1BXjencWX5cMIyXFIkoAoCkiShCgJSKJEgyOGu+feAMA8PYAsCghelZiwDXecG0kUcQUKuGP9hfisybSkXxpJSmcB2UqxRcKW5CZYv5Xp297g8bELiMmZZSoBdz/bmUlbMGDLvCQy8TP/hNtBEBFFCUGQ+OW9LwkHQ5xy/S2ASHxyHlERuLeu67zy8jaMXa0oGPg8Ep7GAwzf9z1z135z1PYI7NpF6SWXIsfHM+DHxQi9EKUdk18v/za0i9vtPkLBcLlcxMfHM2LECAoLC/nwww855ZRTiI+PZ+fOndx6663MnDnzVyke/y+IQxL5JeUTGku3EoyS+FYSiGpsZu/D/yBksZJfXkzIYqMuaxCZhbvZOSDE6pkD8Fg8xDtTaIhKIJSdRqo9AVELsf4vt9AYcnLBrdcTDgbZdWArB1bt4Yw/X4XNGc33Gz7h80CX4jE8ahxnDcinra2K54q7+FJktYbZjXuIcQ6gc6hq95HbvhtZV9msDeCFUWcxzq0S75BQW4opmDyTqJY2fFWNCNYodrX6CDVC/YhMPE5bZEwz6/IpOkFNJzZ8M63qN1g9e2jwlyIiMSh2YBePBVDlq8aneIlKGMu1llQu+noVngYRJMPMzioa+Ix4SDIQJ6ZEFBgxgteXECK/Z6SrqHoFmpFJdVUVhggN9hhOkp3khQtYUX+QAcHpNIjp3K8pvB0yLSNJsV90NsE4OZ0taiVrfRYuPfgksXorXs8rjNhbzeLkaSjObNaXWilvT2e+rZ3UUW8D8FBhG1NLBfYZNqSkZHRfK5VWK6kZ+5EkhVQhFTGcSug+AU3VOFSRQ2P5mehKHWrwF4YPMVecHVNsxyRkGAaBA+VMK8piaLU5gVh0SAxCIN2OlOI086AUzibWvpcEoR4Jgws+8xNssjKgyqDZLVCeKLA07QAjyv/Kua7P8FgrucZ6vqnE6apJruUDVdCQDYlglgPBZmaS1UQBo6GOce1nkRvYyRYqeXvwIACmRp+IDSWCwjEbsbq9lgp1NzPcFuLt9kifiKRci6Bzvtluoyo5hckWO4puoBo6nZyjAuysakUC0iqKGSdupTy1i1bfmHMqxfVboaKYUlcKsmcbgtzOqPBQLJINS20NDjVIbWosJVGx3HPbI53H3nUbCLrOsuu7cumIS28mbcfrtMy4kJ/Th7GtbCkAkmDwm2HZuJQoxJ2pBF06Slw0hqriqU5G0q04HNkRtIsG6Fh1M1BbdCd3Q+Z05EQx26cp/wCtHgsNmpVGqxNfXJjkgALd2jDQoiH6YrE6TQW/S7EwIv8MpjaHkKoUhNiu1XVPZhcw/CH0sB1XfJhO62EHqsrQQWtnacI0DrhyOK5tL7/d8iQbc6YyceRc+hJVUWiqr0YJ+mn65A+MDG6hQMoj/tT7Ach0B6i3uUyrqWYifcJhDV1TCARbOuvZGdLQMREqkl3BEfCjAdmBEHcArnAtlqKXEFGRUBAEg+4hzgrwfeN2mlt2mRsuOJw2oJEUWWdo0596bM2JpBsqqDDZkg8cGML808yYmKef2IijxI8yJIqrrh6Ly2nhq9tW4gjUcTTRw2HqnngS0W4n8/XXjike/2H5P2U4tVqt/Pzzzzz77LP4fD4yMzM5++yzuffeX6+Z/7dF13T2boVMSyrzXHvJ5CmEhDg2WE5lS2Up2wbmMpUmPFWllCXC5vwgjbaDVIcb0X1ufhLms7Z1DJ/nDcIuiXyteNDGTiJ9sjkY1wfLObQsTHraWFzRKVyXNYWX3+1SzPZ4t1B/qJwcTw5n5S6gqmYbgqqxXqnljhEjGDd85mFXbNa7evNeLjng4uwzs5g7ufegtDd2VPD3j3bwzpmDmJXRZRl4bUUBf9e9gISohdClCxlY/pjZHmh8fPInSN0C9e5acReLShbx/UlmmU2PDyPKb1A2LB5RMxA1HbExTFRRgJPf+rjf9lY3bWXLli3ERLdiD/g4/+xJRL1ehyyO5TftYwnrBvtDGouyDcL5duRyL39JC1IRVtngk9ns7wpw+9TxDXd6r0M49X2SP5zB5PFXMXjyAs7yhpBFgbc/3sWgpZNpWZDHyOM0wgW1TPnd1aRP62qvpcsGIGuDOe6EnkRZHXicv59v+sbn39c3aV7hbR+i+J14Ym2ds1DAJnHtjeM685g88eAFqLrKn+6/lPJrrsUv70akkbFPv8oPI2cAcGDB+UjSDrI+/wVREJF7MSMXPbGSIl+Ib/805Yh9S/bUcMt7pkl9SvR6RrY1ct8ZR2ZHXbn1MZSWv5Ka8hbDcg7vX6Y4yz/irbUhPn/47F73D7nzM4KSg4v9XzElqR7PNV8dUWbKyyOYt72KFH0reTUGNy18/Igyb/3pDgByGqq4OymG63Qnhihy4j/eYdr6m9iX6WX0oU+YGJ1Izrx3GBhaQ3Pk6WiGwG5vLQtOnkvLznKi5qnEjEyh8q0lGEImjtOdTB63qMf5mr3Xojd8RNpNi3u9L4ADy0x3cYcB4oxzRjMupyfqbMnHGzi03MdVN1+KtZdYA4Bd76/hpF1ech+b0Ot+gPYPv6Jtl430R8/vGbSthOCVadB4iEJ7BgOCFdTazPiTlu2fQB/KR/m+jQif/JYMw7R2RRHFmuzrqWz4kLe23M282BhunnMJ8qw7ej2+qXAbNe99xW9PHEfeHNNa997jrxEWVK64y7RgeQvzqNj0Hcq8bHLnmbFSp3yzne1RGhZD5YtB6Wxo2sy72/7MjdMeZ1RstkkmqOvokczZuqHz0bYH2NhYzNC8DzB0FQwdXddQwgqa6kDS2yje9wKi3kLhgQJ215ezTn6PrLwTeeaWbvf/K2z5hq5Tfc89BHbsIOvtt7DlHenKOSb/XvlfKx+//PJL5+/MzMwj2E3/v0lCRUUUnbKAOd22CSc144gOMir2IPe6HiILlWtIgmHwXMLXROe6+PbsBzhn7TesDqaDILGlPcCq5nZOSIjG74nDEtXl5+wYTzpWTIIgkGSRcFs9jE07nrL2MvY07GFTzSY2HvYW9Rf0p2qmGbg/v33nNXT7/acvdvJmbJejWlSrsXt302p0uTU27t3DlNFdE3TOtmgW1bzEyje/YsiJEwlEWamcls2Zz3dFkG97/HGEt97mr6s2ss0XQqfD2WLGD9SEFQbUVTK6shAPEMzIxpM6ks8//wcZ1Tozks/BKbtp0w2KQwZDDsL9m79EVKqo3JzOuiFB2m0aF+6LIbU5gFWwMv64UZyGn+Y3fZwlXsf5PhPPHx9lrjRPGZ+BeMCPYXWAGHEvHOZ11MISNmNQn22XNNiBpvSfL8YqWRGtQW6878g8Kh2iG3pnTpXMf77C1k9fxnHfc7Tu2YmWPwHJZkfSQLRIvSaD6xDFMJD7QBbNH55CLG3cTjKz9kyhan52r+VEKRJEKfYdwHi0CJ7kUB2lzmx2WvKZ/+e1vZZ5yXErgdzHCMSLhGfEsPiLyR2VR8QgcZ4XuISShDTub20hGpU/v/UCE/btwpAN1j6pkZNdZZJ2tabR3DCUlYFhKFIYjyFx5YEMWg6UA6A3wMH3niOu8mS04fUkjjnziGvSW3wIgFpViJSS2yvkMsd7LwO23sIfT04hNzHlCMUDuiWo6y8RYLe8NX0WqT2IwLAj0WKvzoLGQyBaGJAxBAoq0CTTTTi/8CMwXu5xTNOqRWx/82lmZm6iUYxlYd4dFKntJA+dgccdzUNbvgXg7RgLs0SFvmjPlIBJfWB1mNE0H/6yk7pgK25sVG4vJn1MLmGfmcFPdnVNJ1vdABLvZ2czJNHGz40iPlFkfNIoBsf0DtX+xZWC0lBKkzsBmyRhE2VsooxbkjCaa6medxVpusCK4fBQ85k0eQSi7RZsdQe466U9PPGHLmJLo//uSt2TT9G2aDHp/3gWZ7cYxmPyn5NjuV26Sc0DZuf1JQ8mZUYu7Z8tRh98AR96pnDJoas527aHi0ZNhQjK+KaGM/hzhkkQttknkyxWcHFGHk9Xaly2qxi3LHGOAUG1l8mq2ygkCQJDPYn8depfexSp9lWzoWoDP+3/gZVN62ipLyIcGo/VdmTEuBpBsMj9JEfqUF46EASqorHQpdIRzWkJ7kYKVhBVV4+ojCfsS0ZK+Z4JI3r61EcJZhR/XJEV/6OrSawLkfjTQerOykB35yE4PIhyOgLwoVfFQCIJDREzHkEQoM4TR7Tfiy8lg+GjRpEQ9HJg1w6sxLEzZjP7g09wi6eIZCtECw8g6yr5xWtoSEgm81Alk9NOZvQ/ngag/A/34d+8irxZGTT/bN7jl/oMhqtJdGfj6Iyi1/XOScbQD5sODPqPGhSEfgMPAQLtR8ab9F5X109ruWkmdtz/Agfvf4Gy6QNIqq9AyBrSx8Gm/NDcxW/x9DtfUl9TGSE0M90GEy0KPuqoUXPJHZbYax2S1VRKBKEf9IRwhJ7WQ5Y8dRWD/7KEkpQ5fWZ1dY4bTFO9TqA5DqvQbQLvqFdUsNPAGcqnNHmnoQGTvvvKVDwwqH5OoYMG7tBXT6CFY0kEzgY+jfLhslV3hRQBcn0cQrSIJvuR9iRS8uSnpF09B3tcVxBw+K0VCBNBfvU4fO6Tcd2+8Ijr1hrNVAGnpccSlRx9xH7oUj765Yv4NdF1QS+dcPsNr8CWd0ANQVMhSFa4+hfY/iEU/Ezald9TqWi0NZUztIPC/uA2Ck433ROpwB2xuSwb7sQwPgEJONhl+bk8+0beKn0ewxHT5+Uo/kheGdHJ+i9XcHCHiczKUeNo/ngb6WNyUSLKh8V1pMVn4AczcOlV3A3kliSy7ccLKJCdJs2zroOmgTuKec9/QqXqxGs4mbfzSIbcrMoK3tEFWs5TGfuNE0lJojJOxB0wz9lctetXNK4pTe++S9Nbb5H85z/jmT//Vx93TP5v5Zjy0U0yXniegxMmkjIqi6QLz6f9s8WIiQOZP30qHIIZli1csSaDp4ItDPSMBeCebTO4R3mfYMYIjrNV8vucIXzTXEBQ62ZN6D7LdIsN6JC+xqRUVypnDjqThg27WMk6Vr27kJ0vf86tH31zBOxN0zssH32r/J3niRT57vtC/NFmPdG1D2ENmRTOhh00O0ihOUgIPdJXAxg5DrRqjcw/TmX7wi9I+tnc3rjPDdQB9WhuM7AzKFs5y6rx3KypPerIXbSWmoRk1mfnItRVcPk9t9GBhVq8QOVWd5fP9pLkWwBomfFHho49jZKzzyE22BUYiSiCrmOZdxmnbV3JulYfDZqOZu+pBAiRSPpIuELkZg5vfQHjCFxRt71HmYQBRElB146SIfMwzoeh197J/vQ0Sr7/BLmuGb2iipJYhY3p7Xz8bDdLgnBYHRF54u/P4G9vxQb4nSkIgoAoisRZHVS3V/KJ1cOTyUcGO5tVRhSxfrPa9pTblzzF15sUUlzJ/OWUiczPH4EFjbjU3q0rALIrAPUwcPitDBlyQa9lPn9pPmdlfspJv3kEwzB476P3aHbaSD79HOAtACoLklBDTgQBsgcFKD3k4L6kBKZcORtnnBvNF6b6oQ1Y4t2MPONhdF2jYccatM9iqf7nGlKumIwjqRcCOH/TkduA9hZzMvzkkW2EDRsn3ziYAcN70gF06Kt9WT42FNah7a8nlgQO7ahl0Oje84oYyaMQ2iKVLTJTzWNxgM0Ds++B5OFmllkAUSY9OYf0ZPPNUYr2dCoeHVI2fh7DLE4mpY9gYtoIDAz215ejC2FmJ8XyVinYpL4ta+GA+Z59/f166kMtAKRrcUxSB9HmNF2eqt9UlqzdlI+Dk4dzoKad2OWtnUi16XVhdmpBBKuGEWEzzj7QAtQTam+lTUwDQeadgSEU3SCs6zSEQjy/71vSylcC4J+lU7A9Ga/DirsbSGfCadd1/u6Pa6btxyXUPvoYcVf8nrhLL+mz3DH598v/OLfLv0v+22iXjROm4m5v7kSNpM1twpkWxqLqfKFN5/uWBYwJfsXV6Zt53vg9XiGKXbG7OBhzkObkv6LZBvao7/cfPUNcayMhmzmg2HRAERl5+QH8smnOvrfSdAtEa9FYBAsWLFhECxbBglWwItQ0MnX3PHRLDLKQij3KgstShbVtL1bMALeFcWNYqw/AESWTkWmuznoEswkCpZVtBFvDPHP1BM7KS8LbFmLE2q2MCRzksoIPaJf2YiBQLYt8EO3hpiELeG7/9ygt44ix20mPdSMJMqNrXVxWMYs9OU5ESUTCIGPdSoTynYhRyYT3fdV53jkvfUgGbQxwes2EcZiJ46b941UA3jzvJtIbGvnHMw9Sm5DAVyecTFVSHJ/UmgNvKOjGYmmncvsAVHsuhg6hPXsR7HbsQ0yrQGDnTgSLC885d/C4P4qvI106xxHgtJSWzmvR/XYurM0mFNWGy9GMWp/Nbv+HVLYWY88wrTsJU7/DUDxYpZxICwoRG64ZNNu8uIT61ijy8lJ6JA7r+C0IsNw/j13ZA0jMdJsBuBGnRUfcoAiUllQT21rKwIHFkWclmBBmOqjlBSoONWBT3BSGsw97nkbn34LcTq2zgjhHCbqgI1okoqJcJnoInTalHi0g42wdRkNaI7LQoRR1oDkE1GAjWYFSZjdm47T0zt9T3iCwOTiYpNwURAG+bTIZckU0sm3NjIwK8V1jGhcJfs6Ki44ESgpIu38hFCpHkyAUrqYl5KJ8ZgKehOTO6+j+7W2tBEEF/1DqBAu7rS5GaM2c0r6ERHsVDkVlefBmwq3D8Kky2ckOymoDjHCIDEozLYKGbqA3h2izBwlHm3T9CAL2NhWXz8G+pKUIeUXIskxcwzZGlRThw83eYdMxRKGni0kQsJTtZ0xrAU/7HsHWPoy09BbSkiLPWxQRRJFN+0PobXFUnvizmT5AMBE1oiAiiiL7C6q4qmEWA5V0mp3txIwL9VAeOxwy8q4gQptE6uhvYL/JlvzGgMuJtjkYGihnqOCjrKaOHP9uNqdfim6NQsTA+vNuLJuKejyzReME/FdOQpZkrIKMRZKRBBEQafBq7G/2siuwibebJjMk+0RUnxXZpZtIH1GgTpT4oeoAddWm62WQmkreaacgKmFkQ4coF6Isoq+vJbmwDe1EO+4kJ6LFgiHJKJKTxpeu5UBwNqOMLwgvryX5g++JHpZjXqAo8O2fLyb1591M3LybuYsfpKZhGYtPf5cFXy5AlFzomqn8DEg4jQlb28g+bjLehnICS6oQrYNYl/kxqc4xPHPPi533/fWtD5CwYjHTtq7r0R7+zZsp+/0VuOfNI+2pJ4+xmv4b5N+e2+X/l+XtMWeQUFvO4HQ3asMBRoxRyU1z0uAVaWYMxbutzJvdjm2XhlcwV5Ijm0dyMOYgE93pWFzuHvWtOi6J9Oo6pqYMBwNkvY1YaSet0ZPQMSeCDHkLXjWK0e4xhLQQYT1MSA+h6AooGhc3nUm5o4uyOhyAcGAAYkDBEjDNqP5kHULgD2mUVvVMwd2hXoZ1HSPWynVFFTxQXceEaBfzoit4ff1NABToaUSLfhJp4cS6p2h3FZNkkai21dGGRrAdDDQMUjlJHkNKqcmuKRmgJh2HJ2kcur8RpXg56CrlrgQktZEaUaTG60A3dBy6jtPQmSTJYBgoFgu3f/g6QcnCU1f8gc05Q3n8YFfWS4vcTqDeirdYAeOAyfoJGOEwgV0RU6tkQYwbgNpoZ6iksUbUaJOgMiDzRWnXZGo3BKYRIstvoPuj8Kp11LfWoKgabcUmlFNOiSYqJUxQKwTBQBCMyLxofg+xBghZZBqqazAM4bC8Lebfm6Y62JVrIzYUxhA6sCOYqz1M95c3P464Fi/1rR93x5Z0olAMDKaFTM6EfEsTRi9RF7oBLoIk6ApbHH5c6NhlC2ElZKoWgkC5WAcucMvttBs+3PqwyETXcTYIyuXsiFYYURUgwaf3Gt0R1awwIbSFXaGT0RGYYC8jiTLcQjsV5NPgtzIKiRlGIvbIStgwQNrwNVZDpz01lfiGBpIVhdKcbJql7q7IblZAPY5wUCAQDiMQZhQ+/up/Bk13EWifyqfNf2CUQwIbbFY12huCxNlE4u0SuleJ1KFTLNbhVhxILbIJ5zQMFANqpAa2t9rIai8mOqaRD9UwqZKIBT+DDpjpE4RuSoEQaaWDFgutzlriA+mUthps1qwMqgtiIGAgoWOnzlXK4tbFkTsyOr8NDPQYnRtjVnN53Rmc0zwXY003Pgmh43mAakThFDd3Kh4Avyn9LHIegWbgg8ApXC2XkVfxJRoSCAINm7o4cjvSU64YLdJStRnVAMUwc7HokcFAMyQQdAzNwcGG00iuPTKOZfKJbo6zeZmIqXzEG1FkflnSS+8A1TD4/uN2oGvskQhzbcpyhjqXU7QsBUMVqTn/NGq6HZcP7MmCK94xY8oMOY3JG4uJh07FA6Cq6Vu+zQGhaQVe4CrP00iGhD64kWcufqDHtQi9rKdDhYWUX38DjjFjSH3s0WOKx/8Dckz56CaqplOWFE9zchRBRwAlcQLykNGMm3kKcZgvysWPJfCFdSDTQ//gguYMFGsLgmbnkflXcPrUI5lZR+3dQdLA6dw4z6Re1yNBZ1IkdkAQBJ7fN52xnrE8f87zRxxf9voWRMMPVpXycNdLFWW04HDGct47ZuDYoA1bON8v8XNaFCMGDzyiHoC/F1XxZGkdSVaZJkXj2/pWoCu4sn7ESWS6RsGmW0jQncSGs1l60XbGP/Ah8weH+dsFv+u3/QzDQNUNFO1U/vrjIj5dI3JozgycFhtrlu/ikZ+e5HRR4/y4xWy5IobkmhB3bz0TbS6UpzsYXlVMQ1QM24UKLovUKcogJcPak87nRHkWrYKfT2zr+N0JJ5AzbdoR13AtcGXJXuS3p+Af/iec597d5/WmAe6/PY0l3ETS/fv6vbcOqdwzjeNj6knup/yaxZ/gUYr5eEHvyBCAc3/YgdWRywfnLOmzzKuPvIDb4eLC2y7vs8y9L95LTNjDpit/6nX/1tVPcFnhe7Tb2rl7+itcMuDINlu0/hPuOvAQJ1/1AKMHTOq1ni33zmNNgcF7f7mu1/0Alff8hGdEHe5Lzu/ctm+hafHLPfdKgsPS8F57Hb856zdkzp7dZz1Ldu5h7RefguDgjLZmmvVr8ekmyuiEboupBTEihqCjDq5Eb4VwNHRYqlaWHGLKsDHMPb9n0G/x/v34Fu4gN+MBJs6Zy5LPrmGuZS27Lus7ZuD7X+7jntKv2HjebWzZ/DX+bQv5IG4B27Oi2Zs6iAOZsPHHB3lQKGfJ+b+Q4DiSBVU3dB5deR0fCV9x6x0PIvTBJlux/DJ26Ks4/vhWU3vTFP686EO+iBrTWebu0oVcXHsHB5vN9/yfF8Rw4v3mc9U0nUtfeZMNFYk8PmoNDn0VomjHKiQyKO5MbllhxR0lsLlSw6eYlqKYmYOw1YUJ7W8m+vRcoo5LwNA05mwuYXn2YHZmDGBRbiZJLieaLKBrBppuoGkGF24vJNqnEdOq8vwoGV3T0RWF79/6kJjEJNYM/w5N1SmsXoXDuYU5J0SYkiNJDb/aVcDHKQEy1VgONuksmBhPVryXKsfvSTJKsAsmp5A30M6eai+lrfHg2cRrk29DMOysO3dVn8+tQ5S6OsqvuhpLUhIZLzyPeIzN9P8JOaZ8dJM9+/Yz3hLhSlQAEQpXrOWb1n0sOOUmhIjJOtlVzwMnPETD3gU07D6T9kSR8ncP8cjmGq7+/SgSo3pnydvZXMmpWw8RFmNADyMYIayGDz31BtLDJb0e45yQTLCgmOOcMmMdBvv0NhT8lLTFIamNXQUNnVF7t/JlocC2okPk5g9hcm4OcjcftCeCY8+wWzlJOcjk/e+w2z2HVfaPyA3+SMZ+gaB8iLB6BoJuQ6tupfS7jzlFtSEHjk4DKQgCFknAIokoijm43vjF51glCYeuMq3Yx7L40/EdaoUI71T8kP38qN+Kf1MU18a+y3Er43gzL8wr3jPJt5bjDYq0iHGkiyZjgNswLRmbv3iZlJ8uRHVORbBYQZIxBBvoGqK/3OzYwtG7tyGIJnfGrxVB7HVl1aNOel99HVGmn/2+zbUYio5h+xVe0X4qOm76XVD4HuOSJ/SqeADUV5QCoPTBdFn11WPYA1VMTBDhzZNMvpYTHoCM3iCjvV9vw3MPQY7pJqt++jn27ayiXXKwq25H501YBRejjpvEmsZibMCcoSvRvTnU14/F2dz7/anuBiz7I0p/NYSjzXW1LuhotiO5HjrmfCMSpJFl6T3ZXo876ggmRcCz4z2GrN5P5s7Szv2FQDzwpATWG3qf2ERBRBYFLAJ9Kh4Agi0agl0LE2QrL518ES+G2vEJVryahsMdz6is5zjov4bHVw/nmoUtrExeS0XDPgL1f+OKoXDFUNheN5wxSXWEgtFgL+NQ+xa2NjwHDYedszlEaH8LAK3fFKPWB4k9YyAfzRrOi6sKeAgvQUMkOaXLqruh2cstB8oodYngEhESRZIndyWIVF59nOzsGCada8LG9Yp97PFaSb69pyK9++nVuJr8nDtQ4S+L4MHx04h2xQALOFBZyNeb17C6SGFnbVfCw5MSxhOwN/CXmVfjsvbuJuwQzeul/JprMTSNzFf/ifRfcOUfk97lmPLRTXZu20JGRgZnnX8x0Q4LDz/8MLoms3VLO1u3mMRHccJFzCqrZdRlCynwLWXJbrhsvsHitgyUHyr454PrGXVpPqePNAPa/LZhbFDyGbRsKT7DAYbEaVHlWEUbXl2iOgx7grkgxfR6TQmjMzi4aQWr1zhQRBkEEV2MBlEk2qF0lnM31XPiyq/RBYE6w6AO+DE9F/eQEfiKDiKIEkFF4cJwiLL0PD4dMYX3Bv+RTUtM06YinInVCGGG1kkYWLE2pGI0GlytW9jW2GUC/eX71dRUN5qLl86Jz/SrZ6VEM33BTPaWWYEwS7dFYybeFpjvyCBZVamwp5EcqsNiqLxqXERi3VDC3i9Zz0SahHz+ujCO2NaNnec7mOxnT8oXFMseGpPiwRrHQNch7LSitf1oBpgJIEpdE58akpEyhx71mRscXZnoIUL/ydPAXNT9irx6/UrzF4dAMjDC/cN6uyef60881t6DTaFLXZDl3vkp0rY/SpobcANlJoy16J/30Jr5e7M9BNM50RZKYqgi0N3xOHT/PoIHiyk+/RQoMfN7uA/u42DsMspycgCRBGcGqcmpFFeWsHnrUmyAx9WMEr+f5oT9NOcsRlBtTJu1GpvtSCRRuK2Fpl1biBk2AnvsDDQtgPbQLqRe5plOlFMHNLbDFabrfeYuIdCl+Yy4/FMOvNgVPC25JNLvvprdy1fgWb4Xi9g3UZWuq53n60tUzHfaX7UC8TDlWQKigRa/6SL83azfIDmr+NuSdg7tu7SzXG1gAMmOQkYn7iGw92o2NwSIlw2uvP46Jq3azYZAhGbeMIhVWqjaVsAIuQtuqnu7Us7PzUvgoYNeLq+sJq6xEc0wHa91IRW/rhMrSwxV6ynpRmVvKCGCmoTd1dXnlGAQWTpyUeZXNNoxKChWSVOtOCNIvse+/pJX1lmRRQ+jkhu5bko7SdFuzhg3hTj3gn7bsOs6FCpvuhmlvJzsDz7Aktp3lulj8p+XY8pHREpKSiguLubEE08k3m1CDk8+eTgrVmwhOtpDc3M7waCNJiOONVVWRgsCKUPT4PsaworM5QvyOTQymS9f3UXxy/tYeE6QC+bm4o29CMHQSBNKcUoa9wyZyKzkGT3OPXjxOmKsfWvkUSMGMOWpy7E/+wy5J52EYRgYuoEomYPldw9egW93OQhWTv3tlcRPmcnajRvZ9s1nsPwHPLpGc/YgJFcUDmDqll+YuuUXijIH4TzpZPw/O0g/2451/Jxez7/uzyvwt1v49I2vafOGeKjaRV9dx7avkb2zfEzKSeFgTRlr75nL9wc288iXzSxJisDaYs4AYKpwiHyxhYakNYxyyyQHNzLmp6+OqHNgbTMFKXH41TbWpxRTkuFgrWplQVsKN994oKugpsBDpslbfrTxV3Xuf9XyYSDC0cprClj6TqBl1tO7wcJb60esajcDOiQQbP2jZn5tvHi1r7rPfdHJyVAEDlf/q0I/FnTAqsvsbZtP9bZojG53oRgijrZEDgf02vNzyXrvM9qWrATDQJBlxjKUSU0Gg57oIjXTNI2X73wdVUnGUuMhkLUfZ6KZP8iQQ/xuzeucmH4cvxs8r0f9Vk8MKdO6ctbougaIvSJPlFAkB0s3ynLz745IiS6Z+cRyZFHA2j4YPXMbgeVfEq5rQrIY2LNiyPqui5nYX1mBfeVerGLfJv02bwHiUfpOlbIdgPUHrui3HIAo2bl67kyKGpawrW4UY5N2EpV4B3OGX8PPr41BTA6yvb6GkGSnVpPYfO8zPHnttSz5x2soahuK0oyittIqyJBjKh8GBrHnd8G7DavZJg26jjcYMoOnBZAEGON2sHj8YO5d+hmNepcFwttQCwj8/OMm1iw9CVGAsCYQ3UvelLJaP9NCFpLXuzlH0LBEFOCDtfXE2j2svHsBbof7iON+jVTfex++TZvIeu017IPz/0d1HJN/nxxTPoDm5mZee+81zhZWcNyiv1O23mSLTDUMLrBCe7vO0pjZtJKEraaS/PBe9rx+FhQ1A39hyaftJH/5PgYw0JCo1pNp/KSYTxY+Axf+HkMAVzgDAXhiWyVPGnuJjdE60Q9BSxq26mWUvPIchmQD2QaSDSx2sLoI1PoRgIOr11Hc3I4odkTRC5T8/CrjfimhLN+JdKpOcdt3hPYWkRMFuRd1o8LvHIcT2X9Qob2kgJFNO7ANuBr/zw00f1NO0nGTeg3EkhWFKg3+cUimo8t8OMtDoryXqNTheHLGgWHwyecreWC/lZ3b9/LeetPk/eznyxifn80L56YxKjuRP3+4ilVmglbWGoNI8G3iBGs2p7meAhfsixAyP3vR5azNfo/YdoP4oBX/4IFUNS3FFTWC0bHDaaxcxJcuC+Wf7uCzLRVcPDqdtBVNwJdcn3IWPBgP+SdDfDfmwgHzIG8mDc1VlB5YAYLIkNBBvJqVz5Yv78znIYpiJ+JEiLS1ACAKDAiGSKOemnWfIojdUCyY1PKCYfC9ywwO/n7FOhA76utARpj1bZdUxtS3U7BoDYWSRFNsIuovtYRLgoSEIMMSqwjho8XvY8uWLeYjFASCwSAWi6UTStvmbUMRFV5d+RxirBNFU1B1FUVXzI9mrqRL6/ey9NsbiXG4QZQwBBFDlEAQaT+0maFamEMff4TP9YtpxBJN5I0hwGW5WZy++0bS2rtiiUI5YRLHDoykQzE7V+vnpfhLRPzffHtEvxOA6NHp0FYNMWm0/+LFItioWvQ5hiChCzIIErMti1nhvxGLoxpHfHGPfriNCdRWVjC5+i38GAhWAUM3GTINXQfD/K2oppVu/foiDF5DEmVk2YIkSWxdsRFVjGVF4X4ak1I51KqjSbF8tetrrLIVSZCwiBYkQaKsqcMNNQBHOIn197+BVQNBTiDt4mso2VdsvouSyK6KQo6zRVPdUAcIiBHEiNCBXhJEQgENURNpqttlul4ECRARBTOHiSAI2KKG42+tY2D05Uiije6opI7eVtC8EMWop9Vbjl1VuG/BMCoqxlFRuRNv/VOsW/8RUlyI2kA2qhBN7pjPeL5Z4OscEDb/wGXtJnoqP20Sg+ZMJ2/uJPY+9h0JaireSUpn9muAzChTqXjWFcMFE3N6PI8OBa5N1fHoXUn77HFJZGQlE++Rcbus6LpGW8F+gsII3rx+OQYQ57FitYqc6TcVEm9UI6I/mgkPfIABtIUTGZ7U+D9WPOL8LbR+/TVpTz6Ja3LvcUzH5L8rx6C2wJS3b+Syb39m2l4YdGIdLUlZEXeCOXKmhgr5xTqRb6NOZ1TTNmaxnprEbHw+K1VlpyKE3EiY5nHBgIDgQDV00pu+4O3TL8KweCiP0pAsEooaRtEgLs5vIiEMAVXzcUPtO8wrKEAyVCRDQTJUZFSsKGghgYJvk9HVvn3F390Kxw0K97m/L5k8/FsCr28i2J5H9LAy3L+9+IgyZbd9hU+txz8/kx9XrcQqhxkxbgmWGB9CGIZ7HiZuxEls21PJeV93+cKTHPW0K1EE1J7kVemOZkan7qWwIocJQjWyYPBn43ksgkpF8Ca+bpnDlrRyBh5ciEUR+WliHdUJQURLKjsuMgM0X/n6EhY2bafkgEnRbTXg5lYH1bLGw4PvhsZCjhCbh42nvEHed1eRoLR0bi5oj+PriuFHlu9FZiQWMzGhot8yKbNW/Kq6Ru3dxIkrv+bJax/u3Obyh3is4nViBy5j9apL+zm6S0qjStmcuLnfMrGtFs4PtnC9v7HPMs8WTUQL9R6vZHGdgmTtnfBMV6tRgxsx9FZGxc5niPvIwOte6xQKSLbd0mPbh8aZHBRye2yr8cTy1ZiZTGADl/IG8fTOxwFg6AKqamH9+vN73d8QFc3Xo6ejdHcx6SESKq46wp0WqLgIQ3MhuQqxx66i/eBfMfpZr0XpcF1b/2nuW2xV2GuOJDLrkOjcNnLnV/a5v7sYuoAg9j18NzensHfPHKZN/4hbyrvQML/7oYuLRTAMBEFCj1hkpif9hnTXoE6lURVVcixnAnDAlcdX8bP5Z8aFuKpNy4wuxWIIFlKFTJYe/JKI5tr1EU0l68Wy9wCItUs0B82x0iULDB+byHEXD+GGe5eR6hcJzjTZazFU5o8YxKwRPa3Ev0a+ueV+Bi3+mKQ7bif+yiv/5eOPyf9cjkFt/0V587GfO3+3lTpIiSnCuK8JIUKuteHp6cxu28ggfzmpf9mLKIrkAGO/XMaCzHYevvCMPmo+h1H3mNHYW6Uy7ANiMDKq2bC+gvvue6AzgHXVolwyDBvx9x06sgpdo7B4G/mW41lx4puMHnECmq6j6Tq6bqBqGn4jTL5vO5TdTFTOKwyP65pIOwaVThakSMKs1oNvcCjwIbJVIO7ak6h68iCte7NwtTQgxvSM1jd0nTKXg3Wb14PDijOmEUuMjxT/qdTK37E7eC9svBdEeGx6PM9vu4pKXxonZC/nmvkP0hqQKK9r4q5vi/DqFopG51MYPYKhUSVIB6uYP3U63xfkkVr9KZPsz2FjJ8P3aBCBIp+4MZm3TyllivuUzhiHjsiLxbfM4KRnVxEW4MmYADnxTrhxK/gaIJLGG6Dlnd8Q01bCxC/PBWBd3tkMOeNRdE3DFoJzJAlDp5MfQ9eJ5J8wMAy9E6V0z8adSHoLb40fZrq/OmC2CJ2/f7jyClrEaAa++y6GrqPreuTbrMvQNL5/+lGiAj5+88iLfLf7IPuiTWfFROUX4gYtQw97kOUwqmplxowZGIbBrl27aG1tRRAEzjvvPAzD4Id/PktmWTVpYirn/e1JLJIFq2jFJtmwSlaskpWZH89kaJmb2DYbpDUSvuhT9JQRZv4MXUX5+R08e5/lyj/ciZw32lzRGgZqMMCevSsYMXQmy998n4Qf3mHk6tW89N7beHdswhBFnM11WJUupdfjeZO0P39FR0K1rk4ErP0HrHsJxv0ept5EWMkmyA4EQ0EwNARdpfDNT8GA3918G9E2mX888QQh2QqCwOcTL0AQLuK1O9eAIXLF32ciSiKCYH7M3wLhoB+LdSQxlnsZPeViVDWEpoVQlBA37VyGXfXzVqYHjxjDy9v2sCgug3emvosoGKiGimZoqJqKNkFD1VVW7xBpK5ZpS5Sp8evE2UQuHeyOZGI285J8eTDMTy0aWWdD68ESfBW1CLKE0uLD4nGRMGUM1b8E8HjjmX7NeaaVxtAjhHZ659+Fm0oo/GEjx51yNVanhY5G7CJmNygvqKVuv53BJ9mx2UUMQ0XXVTNhHhqqWoleXczYfeuIy/mA3YGuYd6miowYMIpohx1dDdG27BfaMobxzqQx3PTDYjzNq5DmZSLFJINuYNVUqAdVsGIHzq9eTGX2OawVEggZDUzOOo2Koq/QtS0w6CTQgqCGUNqbaaiqQBIMElO6xhPDV4NdcKIKVgj52LpVZ9vORgaGJXxGmEkvfoIdFVkJkdRSw7Jb7mPutT2J044m1eNmsLZF4NErju66Oib/PTmmfAA+mx1XKIickkLMAJOZM1BTgL+2FEMJMGTqDbD4GtKD1YSBDq/uzINbMXw+fnm2GIvFgtXjIej3Ew4GcTqdhA2DAZhBj/GqnZ/KtuEsaUW0mebUDjFEESF1bO8XJ0rUCjbyRWgQBGKje9cmw7XV1AGGI56omKNH8KvOGAiAYWiI8clIwjo0I562DxYTc30X819LVSOKxYkudiEhPFHmyjN7zl0Mkv5K08GltJdupir0FYnuRpbeuoCde7+k3buaxNhostJi2OJtI3NaLNvkKLBKfJaXwI9F2xGAYSPGMnT4aDR1Po+++RLEK/zutqtBlHn71dcQy3eR7ziJNU1vcO7HzXx07l8I6wKaAR6lgc8vyePZ1XUMSbIzf1A03pYGomISwNU16P1sH8jUoJeyCTczesYVTLF3xWTEH7W1usS+v5wSPZa4AeP6LNNc58eBn6ysjD7LbPC1YbPaiB+YzfKB5kp0y6I1tHhM8jUMCY+njqamDFat6gknNAwDWZYZNGgQywwQfDIhi8bopNFHnEePKJ2CIZNscVEbHoRR6oPmss4y+zYKlPpf56yfn0OITQerk2/THCwr2cS6qBqof5rUWINR0wymOCxIS78mGvCPmw5NdQRsDqbe+id2Pf4nZHc8YlQfwa1p+SD4ICMfEpLoDaeQn7qIr8vs5MSa/dxhWJkuxfPS9BFYLeZwleSKwmKVsDl6tzJIFlNpNXQNWbYiy1bAzabaHSzRRrLAVcy8gSaHysr6Vhb5YVjOcBx9ZDUtK5YpVRv4ql4zeTV8sGGTj6GpHjJiHciSwK5QA4agkS0q/LTyix7HB+vghHPmIqRUU3VIZ+zc3/bePkB9wetU7d3D8Inn4IjqPX5k2/ovCTREUxSoQtBAM0T8PpUzp51JakwqAb+fb//5Apv3tJNXkcC1z73EiRW7GJA9FjmSJ6jo4Eae/P5u5AktLJDsbBk1laxXXgAKMNrSSbqryxqn3x+Flns1utRK+qF3+cecKTz64wl8XPsxr06/jc8DFTxavRTlvLewWEwLy97X7uXnku0AjLC0c6L7YYraphKyDcIjhhGA2lYbhqThjHOAJmM/tIn8+kKKx84ka5vJaNqi/uuGeV9KJisGT8cbDvLDoTWcPngGDkvvFr1j8t+TY8oHMH7HNvbXtPHuu99yevljHOcqx/naRJyHlfuaSQwrL2dQtjlZxAa8IMKK5maTQKq+HgwDSdPRZAlB17H6RDJdg2lpPohVDKGJFpKTFXooH5H4gr4kw26+OAMcfb9AkmgOuKp+dEgsEPE300nVHDPNoHE1eMuzsf60EucJZiBg9ctbcUlOXLW/cN+LDxDy+di85w8oClhkO1ZbHCmjziVl1Lnkhf6CGvRii0qmk4UzAitcWN3Edmc0uUEvuQpMzx7D5qBOC/Dsq934TQQRKRziw/tuBExFzxCcfHbuE9y0KJlf6t/h+PdLaGiIR4iJYuqLXXwbq0q8vLaxAYFDDLE2MC7Gh1U0sIoGvuZsAhaRS0+46de1Tx9iHBUkC760tF8HtT0M+TDu5GmsXTYDX3gDYa9Oesw2bIEAo2fdiGEY/Pjjj51lBw404y86vKY2RaKmvpyUxJ4uD80wn2+Sexj7fWexvwn4HMDfrZT5rI1gAa56U9F5xJoFER1idLObHfHtVMcLPAUosgXrnFO478qrepxrF0BM3/TqSB2Te9/uw/uKhxA2RH7ZdoDZYwcTJTloaiiirboeR5aJVhCOkl9HjCBOdL0nUujD0r3AUC7KyOnc1pnup5/6vthayTjMp/7m78bz1bYqftxTw7byFraVt3SWi9cEMoeZcVaJWTkE/T7aG+oZOGEKaYOHsuiV5RhG7wisNYtuwWssxjpEYXieiGzpu41CVjO+onB1YRcjmmHw9r7nyNSc1OzZAaEQAmCxWLHanQwe2BX38No7t/Ci9jNanABxIgkhpQc8K/b8ntT3rYhEFz1DbuSdDrbVkx2TjV6nU9pQSnRMNmqNwAdL7yQ/ZgASUFTclZiyuFRmumsnzrJCNmSfblp5NJ2gw7RCVqJx3JY3ySxdjz99ONGySVR2/+Tf8frlZ/XZDn2JYDYHv3n9fg6Vz2ShdjVPnv8HBo4/Fvvx/5IcUz4iMiTFw0N3XUzIfxYr/vkw4X1LaA47iE7PZcTMWZTuXMy+/bD7vjvwDz+Os886B58zCldOHn897zeoqkq4pQWLy4XF4aCxoABXUhLP3XcjcvHXWFSVMzYUM2DJD9iTe6ZvNpWPvgcbSyQIVO5nzhPoQEX0D83sOqCD8MBcGTtOPYvUCVW0vPoVTUtHUrPqR3TFgtuw05AYZOZjjwHgtNmQ5akoyiakw6Bzks2FFIHKdeRHEUWJt3fuY6fFQWrQx7qTp3eWz8uZQlJlHFHzMjsDKJsXFdDeXMSBqFFMOiOHdesr0etlk4ztlDt4Zk0ubxbcjz02mZBh8PaJls58KwYCim5QW9/ATwUK21pdhA2JsCFRp2YSawT5dVEU/TbcUUuoUf0jXfqTqXPf7vz91JWXYHE4mTzZTI+3KjoJLRhkZnx0l+LSbdL84IbriDt9Cpdf/OfObR2Wj1Y1gwkxpUy9qMvC1uBVWPRePZYIdwqXfIkxaBC+NZ9D8cOcIKdxx4xnScsayuWvX81ONvDsm2+gSXKnS7K7CELfeYpM6ejjfSM+rsyp56XiZH73cQF8XECWnMopUhlvvfUW115zLTEpcYhC//l1ung0ep7nI99QPLRzfHpXHEHH09QOTzDYTXISoqAe5g1NYnZ+InOHmNTwhhEh2zIM3nx2C3qBl9jUdG7/+Lte64nJ9dFWrbL463Eg6AiCbsZsCDqSPYCMGQMmWXVka98oJ3+sHytwxfVX4LQ6EASBl++8Cev+FmoAT85A5l78O1Y8fB+aEsav+NlY8AuJuFECPp5jKUgCJ7RkcihKx3DH8MqwbFacsIBZ1WU4Ro7ocb7POYU06hman4to95DlSSQvEsh9sO4gSpTZHn+vXQm1psXi7Ko03Fjwxwj4DAcbtqeR2hwmqWETPoedRmscDIRg8wvIzRrWZjMWyVm5B2clfJM7lct+Owe36/Al4K+Xq3J+4u6a4UwqaUUNmwqbrussX76c8ePHEx0d/T+u+5j87+WY8nGY2JxO5t76Nwz9YXYuXczKD96i7LNfyE+fxegxFvas/g771jW839iIHp+MXtfApu9WE/b7CEg+RJuMKEqIkohYUoySlELccB+50bmU5V1EWdk6KDNzDnRMIFbBIFi/m/Z1D4LFhSA7EaxRkY8bvbUZr1OiLtjAobZaJEHEIkhYJSkSnS8RimS1NbQwqqpE8owIEX94bxNmB8SwS1kx4pN4XqtjjFzI+PAAmm1+QsOc5J84tgefhB4ZqMPhegxDQRDkyEeKfIvokev5urqBexpDIEqcHNXTrB3TECZDjydjrunCaHjjG9wks93uQVJlJp0+m81VWwk3d/Es3DrtbBaV/EA1GxENgdlzes9KebiS8fv7nye9cD23vJuMfeNnJER7mLPgLMZOntA3v0MfcjT1w0BAMHSMcNgMuBPFbnwYpjTqClFK1996IIB4mBtB0zTUYLDz77uGDeBwUX1eZE802WfPpfCtL6lvqKTWW4VkGAiGTlgJIGoQ69YZMXcKYWe0ibiRBFRCyFotKm20O7wUfno3KUITsWGF1PQkct0eHHYXzXVlCIV7cKVqiCs+IwqQKstoPHQQSZYRLRZEUQLVIBBW8LZ1Pa8eWYMDASyGBUuwGfy1QEffFCMKg0isbMaPREkqXt2gXFA48Yz5fPbdJ7z9+utc9PtL8IltBHSd0urKzlxBRGJ1zJ86zYqIlUZ8vlqsVhcvlpr8JMe7egardnCU9GdJGZcTQ0k9PPqbkT36iiAIyJKADDiSHfgKvP3yhdhjRNqqQdQywBAjH4ktLelEtzgZmA4x6XG0BN7ql7ultK2UQeSQHJ2M1Wa+U3J7M4pF4LY3PscagbSuESUUJcyGguXctPGezuMtKrw27EHGTTmL37x5GqqhcmZyLDz/VK/n84mDUBLmkntRVxDv4JTBABQ3FXPOuHNg82PMT5/FHaOvQzUMPmh6AdZX4Gwx0ERIbQ7THD2Q7WNvJaF+C+vHT6G+xsc4FAQMlo4eydCSYgYEvDSoIt/lTeO68b8uCLwvOefkDZx+fAN2e5ebq7a2llUrV7Llh6+5+aHHsDn/58rNMfnfyTG0y9Gup6GeH/70GPXtpWiGimaYbo2CnCEE0weQ3VR71DryBmwkPf1Av2VG7m0jqaF3tEqLR2bLmJh/+doPF6MrhQRgGj/2vTcAPSghYBCQo/APMFc9Qke8YPcxMLIhNq6cESOX93MioTNM7vvN1/DRxIiCYOiRSnQEDN7ctw1b/tMIRjcdWNfRdANdlBFEnepd19B2aARvHO+hNkbqzEgiiJG20m0YgNwcImpjB5fFkQP3nMblDPQXERYspLS3MbnQxPsuu/oaTr74AvKSU/jm8afJfu9tVElCkyRUSY58S6iy+TssSmwfNZa/PP1on7e/ZfYcnDU1fe4H+GF0hyJhrnAFw0AwNDoYQAQMVFFi/8AR/DjnbHM/HcypBmbKGYPr3zR985Kgoxki2we2sD2/tce5zlyRRoyvb/KrDnny2oe5sCTM7QfMVWJg6zuoZWuOelx3+duES1iVPqbP/TIqS6x3kSf23j7vqfO4T/09AJbYNdhTvu213K+RS+NCjHOZSvA3nMXHghnLJCg6omEg6qDYzfaPD/qwdgRlH9Z/VFXFGQrApiYsYkfiP/PTQSWyIO9nxuatQG0fTSc89rCPv00h1JKOZ9D+CDufyObN49A0mdnLlpNcV4cvX6T5Iislu//WwdvXeUkm5Bb8dRKiLvHWnFcJKlUMqAwzc6sZ3+QfP72jMM5Nq4j1+Bk8UeXHpFoMIEZ0Ex+VjM3qBAT21R2gom4Iw8Q7scgmO7FFNj+SKODy6hQX/ohg15l9cj6iKCFJprJ58ca7GOkazE2P7UYIW1k70M2H851cMO1SNizbSGKZQchqIxyXwoydVlrik1Gs7QiG2OkualMO4dSaSBs8NBLAbbChMkCjNY6RaR62W3UqknNxW9wR62bk/RBM5S+xsY77H7yRyuHjCaRmgSRT2hbmF1s6s84+gVhxEanC88h6CsfZPibU6Kd45RY21XyDPGQYUVf+oaO5Is+z55MbFuVgaFT/CCaAiooK6uvrgS5X6OHf/UlvymZfCuivLdvf8YIgMGjQIOz2/hli/1U5hnb5PxRPQiLnv/QkbUvLaF9ejiXHTdS8dKypbkKI2AXTlHfowZ8IxAXJvWwamqaiqSq6qvLWA/dRY53FGb/50JyQI5ldoSuCfe4Tizl9WDt/+u0J6OE2DMWLEW7HCHsxwl783gPg+wzDPRtbwulohoZm6OiGjmpo6LpGc0slqb5X2dlyBnkpQ7qSh0VQGhgGdau+xRZqY8j0WaBr1BYcIOTvihGRwkGcRbsRoqeTNSYfp8NuojwiEf2GZn5rdUOxb8knbUwmkg101IgFRYsknlMpqyihsiFEXr6Dc4P7MRLckSRrQmdasw3525khqWSK12AYBqH9+5ATLaiCQKvqJpT4GVGxG2lnJPUxMoOCAjluc1XXEPAS0nxkROVyoLmBOofI9akKXSiLiJoSee/DNe1IhkizNZZUo2tyllb8wOcbl/H7F95ELy6iJTYO/9nngqYiqJGPoiJoKpKqEr9mFbN3bum3z/iTkrC2tBB/8smmf1uPPAdDJwKjYdyGDdTFp2Cfezr1u8vxag6GuktwJkR36odPRSVSnDWYS+0GumE6EToSjHW04ZCBAdR2g6xhk2ghzNhMG3KUzeTxEER0QWDbD2tJTPSQOfF0RElGFGWEyGf7l88Q1CzsHWJSpV9c3MXXIMVkUXPZYBAE3J/8jG1/KVH3/slE7qiq+a2p6JrZB0MvvcYosZXzpnco0UK3UAKBwoZSntk3gN2DxxGbmxfxlemRN8Fso7mqgMNfSjAqgbLWdD7qMqIwzzWZ+SkLCId1AoZgWhmFDi4N80SCYGYH/suBuzhUkc/cCWcQVvxMa2yhpPZn9qgjmDw4i6BmENR1drcHCLqtDJBFXILQ+a50iGFAuaJTlJDKTHcDNlE23wnzck2simHgtpuc5aLg6ux7nX0w8m2PrcKZtI+wOjDyJHU0zRyCk+tMXhzXQR3/l8l4k304nM6uxULHxGtAWPbS4Kwm5N+DIEKU1xzk/VFRKBWldFycFG3gGOxFiw0wSjZQZJBFH4JaBKqpzE7zKKwPNfPhjjoz+RwGKmZ2iWRV4LdeO6EYG2GpiW++2dGjn7vSXWwP7CXKr3PymaYSHFfShr85yPKpl8OYrrLji5toi1vZeS+ibkUXAMOGYiRQXtcQaRNItFlwiy14G9oZqQcIylb2Jw3sVBIiXQUMkFpNS1b6ns3UlZUg6Rphm4fNM6ezeWkBU9IFrhwOcruD1hWloOikWjMYFjOFVl8M1xwoP+L97S6johwsmTCYdV8V4msJMeuiwVgOc4m1trby+uuv91sP9FQG/l9Y85922mmMG9d34Py/W44pH79CBFkk+sQcrJlumr84RPPr+7EPicNzYg5yqunftyCiW2zEp/ZEmggGIDoi+Qr6OoGEIDmxe440qwPQths2f0Zewmjyck1Yr9YWIljYin1QDFKUlYOVeyk/8CoTh5zMtGEn9FrNo0tasR5YQ871d5KSGMszz94IFOOLFVA1hebRKWhNwxheNYqREwczbGR6r/UUflWAbX0q8eMn4IjtXXPe88UHzK7OIuUPU5AtvXezr7b8iNICg2bfZm6Y03P/T183E52zlPaKcajyXBodAtfFeJBEAUGMYUi8i/ykKB76sohvDTs33t47twPAN9f+TH2jzu1/f4qFr37Ij6l7iK/Yz4DUXHY2V3L/G2/wh1+WAjD0luv7rGf9RRcj1/Vv7TJkiXBcHGmP/q3PMrWzzyTKksj4Wy+juaiWD5/Ygycpjcn3XdhZ5oNl93I2X2BVTNcARILpoJOTwjGpiqadMezdtBmLqCNv1UlOjmbaQ1911nNRhDVTVsLdw5zNii57EASB6PZmbnrzId4adCFntyUgGhqNYhLTU2bBngABdwUBSsm8pO+ome0vvc7IAemcdGrvQYJbCjbzzL5aPGNuIHb41F7LAJzT7ffSD1+jTtGwC7AzvJFHJ/4dez9swB1y//57yMqZxPjxZlBszj3fA7Dilglkp3Thm+7fVMQr3jZenjKW9Kje+/Kra9bzlzA8f+PpJMf0HiewcdlB2tnD8ae+06fb5euvr8BmWcupC77p3DZjRhkrV53GvvxY8p9uRsnQ2TkynTZ1JxMG2pl24d1HxNd8//QX+GoMvhcEDAx2DmxjxiUPc/vgni/Q26suIijEMXP6e32206eLZpLmHsrWR3sm4NM1nU++OkjjT1XEBgYQlwZzLjgJXVfMxZWucm54FkHRS/mrd3Ued6nlJxLlGN7Mn4xHt7GrvIEHQlb8cg2WcDSKtRUBkdzMQRRW7UEGTh4ykokXXEBvcvejjzM92smiU3qfJMsrUvH+A5qf+DuzTjfv4d1Xv4Yi2POnWbg8C9jxxzFUpzjIeGgirYtLwCrQtqmBOF80a57+C0n3/pPWLwuI/8No5Aw3Ogbv7nmHTeFcinUHixf/yKEfQTQsNFf7OPePXTmNDMNg4cKFyLLMzTffjMtlzgcd1oX/qRg9FOAjFZW+lJdfU3bVqlWsXLmSIUN65+35T8kx5eNfEMeweOyDYvHvqKN9RQX1r+wg6YYxWBJNE2avkRW6BmL/FNlH76M9gwv1kErTJwcJFbTgnp1J9Ek5HPAFcQIP/LiP4i/N+AxDN5AkgQun5fDXmYPIHjyE6gNr2LX7AHFTxlBTUEoikBiM4vthuyh1VzK5NZlpURLC+0UUTvQx4Oy+aYn7u+yi1iKOIwsdjb662dG0/5HHXcfOXTtJGf8eMJcGyeCW5vquAvWQtEXnFMCi9Y/y6TDXJifFcfO9N/TY993jj5GzdRWbctMYUXFkMrKe16wfdVARNQ2jl4DMnhXpZiwIEJuXTIyxki2VyUzUNMTIsQtalqO4dNrjZne7j45+1hGzsxA5ScMTTkfRDPYXNFLcqrL30pNMa4kBXPkYiaF2Lol1o+sauqaZPDGa+XtFQxsHkjPxOdwMKiphnz3OrD8mn8Xv7uD41HQ0r6Ozox70BXmwsIp58R5ckkiUJHJSQrR5Rf20jRBBoRyes6Q/eXT6/fhCLcS5crjkpxv5aMffuHzCY0c9TqAnIuay4+J5Z2sj3286xB9O61I+OnKtVFdU8NrC98nIyMBut3PRRRcdoUR0cW30I73QtHeI11dOlLuna9XjyeLUBTtob6/Bdo6HbV/9k6a9TUzPlPi5IEzl07dzwnnXoO4vY9Xf/8rmnBgSWs32G3fihZwzeAHj47JIdsb00gYaBv2722TBjywdGSDtbQ/TVGMiokTA5XKSlNT7WKAun88bq4cRsyGVcaFdlJ77C9npJqrnd9vLIcqK1dCIacsgftIwdhasp7CqCw3zw/79HHrtR8QoOwOGpREVZUcURURJQjQ0lHBbPzcQ6UtaV+xaRUM7MWErLo8J14o2BDocstEn5QBgLW7CMALkfvoJDW+aOYeUolYcWR5A4K31rzG/cj6+4RNZv2cjJMP+2PkcP8BDfVkJ7955A9f+8z127N2HpXoTlyS34/7pdvjNq/2296+V7mPM/0aJOVxUVWXr1q2MGzeuU1H6b8kx5eNfFMEi4hqfgmNYPFUPridU0IIl0WkOdr30EdHQj6p8wL8Wvd/04X5CBS3mcUoESulx4AXciQ7yjGh03UCQRA7uruetHw5S6wuR4k7GBex85WF2vgJJgGQdjm6bwRT7Zu6YcR7WA1YSVpivamthz9iBzuvpuNZ+3onRiWPgQP8Q4u5ukd4kJXMshftPxat8wcFJw6lvD5mkTppOQNG5a2cpOz0i/qCIRTsKyscw+rze+6+/nn88p8CODWwfkMdxvRczRT861FZQNfSjKh8gdMs94hACtABr/vYFM+4zIYhxAT9WXwwTTuw7vmTx14txxmcw/+q3AZhZspsdC5+L0Lmbgc+2UIDTNC93T+qdLfKhZZs4gBmGoAVWYrF3tUCq2gKko3srOjvpT41t/Bz5dMiCxGhuNgwafAp9SWe3+RfG0olZZwKwr2Y1AIr+r+Th6epc9587iXe2/sCSPdXEu3dw9vThyLLc+SRX/fgDYPruAerr60lONlEcYoei1+/Zer+p1c3t/L2khvEeF1NSx6Kqpb2Wc7vNrK1lrc3oSBx/xV9JW/4p367YwnNvLWTy0lXUDP8bCc1Pdx5TFmxmQcaovq/I0DCOEkxtEYPI4pG8LC/ft5YoBRQBRE3Eau9biVEE85lUnHUt44ZcQjYQVjRa2kOkBUUGFe4mo7KcmpTJJB+o4PitpRQmpNAYF01dlIJDVjlUaQbhHzgsNM4GhCq28faqb3psz866gjnZ8zuVDrnIZDQu2LuWkoYK7EYm1aUH8Lc1Y0NgRHWI8M5tnS6p9Lp2WkULot1OwpUjUSrasWaaVO6GYTDCbsa+ebfXcZJzAvWpNcRvCrKl5iMaFu7CClz6zRJGFe3jfj6FWvhn9SkU6tt54pwx/bb5f1N2796N1+vtRND9N+WY8vE/FD1svnBtP5cSrvBiF1w01xSjqSrtJTUgCDjSYsHQaQ1qqJpuen47YPndJ14DDE3rO0Op0JGJ0zxn9Cm5BA+YznBrtmmC9sjgBUTX5zRry7BIDt6Y8wi7J2Zzx5ub+WGFOeilp5yOXQ8iGRon+kVkeRAIdv580/0AbNprsqyGoe859rCkXL2JLB69a9mCB7AeBWjib/OiW2Q8TgseZ88B8O6gwsU1Vax0xOJu6DtxGpioi74UodgoN6ecdyGrdmw4YoJpPbSa3dtvQQ5aEbEhas6uKMM+RNA0DLn/+zc0rZN0FuCk+0/hrft3EvD1VKKONk8LogbdAnbdOSOYfk/P1ZeweB261HfCs+zBuXCwglZ3LPEtDSTMbmLEA38lFJfAyK8WITotFJ7UBd+dH+/hoUjAbofYRBEBg7KW4OHVA3Dd6oMsqwkxLcZDs6+bSVnT0INBDBFkR98rsQMNJn386JQp5rM82jNA6OQ4AXP1aBF0trdY2b64gminhZMmDut8lNNPPo09a1cgCAKBQICEhIRux0autR9NWehUUHoqR+dsNyfFdS0+ZljcaFrP/Xv3vU1tTRuVldW0t+vU1jqw2czc0kPnnMvAcXPY8dMHPCaehzXFxnW7r0DXKnlo4NvUNZQCT/R5TenqNkJa37lRDMPAJgWxyT3L6LpOlAL+VBsXXj2Krx/YhMPdd/8JqCYBYQf03hdUKH1kAx7F4EMAsqmr+ZhWdzb29a/hDDaQUNR1/PWzb6E0JpVTYp3MnZKEKNHJCvzUj/vJEg+RL3a5xFJCGymuXW4qH4ZBoxtWVX7JM88uZHesj4D1fiaIhaS+9QcAKjChz3UfejvriEXC4TgITEO0StjyYjr3CYLAq5e+yskfb8RR7COjRcY1NJcyo4ZBRWY//Og3VzGm2owXWeU+g6npCo9uvwQ2V5KS/TNv7X2HH8/+kbSooxM+/qfEMAzWrl3LoEGDSEw8PP3jf16OoV3+F+LbUkuosIXg/ib0boGbYT2ItdvLstD6Oe8MMOMJMDrCqjpGNIEz99xIqjcXBA1RUhEkBVHSEGUVUdIRrS1kznoCNZAMWrQJ2zRMaKL5EUBuQLJX8WHLaA6IcbS2bsDmGIzdGk1YM/kIbAEvsW1+ElpG4QnHECME0VUXAacTq82cwGqjYlk0eBDjG1XkoI4WbQ4o3Yf69LJ9JNfvJ8eW2kc8h0GNv5F6Sy1b83aB2GU67IjYFxCI1qrIs4Y4XuzKbNpSEiDUoiHJIggm2kgNiNgdk+jQ3gzDDNrU0dlm01AlaIhLwZaaS0dEBICCgM9qxQCCWj3HSZs5Ud7V7W7Mb1VRCba1YgDaQRtCXa65VxBoS6kEqSveQq2Ix+9KhfzBffaLs799FndGEGvmYTlOur1ppc1+FrKAfekRX7th0N5kBnsm6ZVYRY0LTjXz1tjtGXREe6hKG5Lkor25HkmWkGzmMUpzrhncGkHMdFJ3GzrXJjyHKliQIjOt2IHFiATwBTrgsLqBJ2QgCvD+H6/E5/IQ8iSCKJJZuBMsTqJOuBMM8MoiIUlEMsCuGdhVg5phn1AdU0Wb09WzjwN3uh4nt0bhkhXtVAzcTpJUBQiEqwUCTidzly5lx9jR6Hl2BFFH03xkZO7B6TQVCGmvjzsTzevMDaabICFR7IxADKgBvFKAkMW0vCiawvTo6bx81sud17CnpJZ95fXc8X0pD5+QyiXHH8cdy/azcG81Fw5LJdnVk7emQ+nYWFjGSoeDV9oqSbDbQeiWKDDi26+ueRt3/hqSEh5Gkm1mf1c01jZ5WWRYOd8qkND+Fbp1M6rnh8gjV/jhh6/RNCs2mxerNUR0dDUD03dzqrUrjgLDJItbuTWbaMXgd0O/YVjhDwjY+cusl0zLqiiYiQJFAQQRXYD28jMwnJCXdzuiYEEQrUiiBUGwIog2whps2/Vn9vlvYM7os5GAeFnG0HUWP74NgPk3jmDJ87uZcG4zE48/u9f+XuWtZt/G6Wg5zzA/73RKy1uQXtxFu1umfXwMyUoI5fV3USq2gtdE3exLGUx6SyXuoI+a2/6KRZbQwmEMXWfsOScTm2S6xqY+/B5TclT+fsnlACwt+hpKbqPMfQmXT3iA3eWHOP+X32II5rNLDdhZUrmOuojl8UDWBXhSJ5AkRyEJYqcVuX3VM9Q6bXguf8tMQWEAQRG3aELRBUHglpIK7LrC67kZfPbDl4x8/wVclX5s58G74vmkGjU0hmMJ22zMrKtDydhC+5gwz7daOG+F6Rq8/pW5ne2ktoYQJAGpD+baf7cUFhby3nvvcdlll5Gbm/tvOccxtMt/SFzjknGNS0ZtDtK+sxrfItNkaxXttLlasA7woOzyY7NHM3VnHPF+gdTmOprmLiCYO7ATzxq7JQnN5WXsLA1N0QgHNXRFR1V1dFVH122E6mdgsVtNIifdhKt24B8MdNSAHW9NFhcOvozpk+Zw+o934wu3oBsGsmjgaqllesU4JEOiWfYTFq2EbCbGXUZDj7hv6iLQw1qnQIwsoxpHmrlDhukL9ukhbErX6lI1VGrCXTwKjpCH2kAthmDgsXq6UD4RfbdRlTgYsDI71lxFr2hv5dvoVnJ9Tk6tT0JAwF9vRQuD7qqLDPrQgUEUEMhp15F8JSQ31LAnLQ/BMHin6DqidPMaH869hheyLsKtulBEO/Nbt9MDQgCIsoHhsRGb2IDPqdL6Xahzr1jrIRzjQ5Y8aP4g9XGZKNHx2AJddPOHi3OoSpQ7iKo09FFCIDexjRythLXBLjeFZhNQwzqNFheiodAS9BBjb0NVW01khR7CMMLohoLVpQLd4lzEAAIi1jYfMYt9CBHgDwYoN5qD3agoJ5phoAGaYfJjaEBDSKFF04kO6sQiohkG3805jaGlpciamTFWTR2NMyY3QooFbjTcHQyiEiBDe+4ebMEMDLnbwBZ51hO1PWxLzGf76RsYdLCahPg4DAyKWs0ZftnxxwOQ7lAJKdDU5MHuCJOXqyGurCTj8xYumyKxZ2wKqZrJ7irH2dHbQwiGgKEatBqtHLAVoMo69VaF2kAty/ctJ94VT5w7jgHpCVS1loAYoC1ott3BgibkCj+fVvSSiLCbWPGyveIjohR/r/s92e2486Gu4d4e23OA6wBCoFshoNq44bOCbiXGmF8doSCNkFBxPCM+ub9HPQbQctUbKCIs+ioRZYsG+ODty/q8ZiHOTevD7RQV/b3X/Yomc9fKxwjrVv65cT0A53qt5KhdLsMlz+8GYNOnsWz67GcEKUTq7OcR46pRsaBixYEPF/Dyrmq+/+wp9rclcIBE3vCtZtjyiWgkIA05C2v2bHw/3o0ApDZX8uqwBdy57WPSnu55r+u/+Iz5iz9Hknu6LnfVboUSMzjdJmhUt1ewI1RNY/qLndbhJuDh0Ll85u5Y/K2C6p7pCQDIgrFhO0t2HP6Odv09rWAnQyuL6Gi90hmnde5rtTn5850vIEsSDzzwAKnLlgPw5Lgp3Dv1Qmr22Glr6LICtnxfhHeVmTDQmush6ZrRvTyRf6+sW7eOlJQUcnJy/uPn7k2OKR//ByLH2omdlUvMzBwq/7IWFJ1oPQGhAHRDRLeA4bSQf7CeCYcMBj50NfKAPDNVuyDw4ufLYHATM04/h80/lLDhpy6b5Hl/nkBiphv4Xb/XsKfwEL88WU70MAd22cKSBU/32H/fi/ehWBSuvuZqMuP7zjr6wa79bGkI8s74bIYlJfRa5q3VIUp/LuOiW68i1tmFgV/85qPUdKUMISAFMDC4Nuk2rj/58iPqeeKrF/io6S1OPN1EItzxzkgAitP8XHHXl0iSzOeP/pWS7Vu44c2X0XQNb1U9rcVVtJXXUFV4gNqKQuqADN3NQxefAZoCD3W11eh2M5jsOFcTtYqDk36zss97X/LlSVjsLVz60Zd9lnn24QdRNY07/vjHPstUPv41ftlB5u3mgETFZngnMnCljISEfNj2Hi1GFNPm53DN2ExSomz887X3WbQ/jh2SaQZ/ZONtnJL7E6fkVxAMVmEYpqIyccJ3rPx5AVZ3ENtuCcd+K05LDIQUlJJGLCUi+nFxCBa5M95ovK+J7+aM6fV6vyiu5w8llTyWn8EZAxIpLWxGH2DS28cnuoiJd7D6hR+JqbBhc1UhSBrRZ47BMmxkZx2GoXNg+b0keFI4cdaRQXeXArt3/0Rt3evEzHiUcePOAyDY0sKbf3sUnygwTBRZcM3fqKqq4tVXX2VA3oXMnz+fQx9djkoVsxJO4Y6bnqDu5cWES10YVQpChLK9wSrw92wvaaVrifK388vIpRxSDnHTxm50+hGjmHswjMz8CoCpmXHsLGrmpcvHk5fo6hGD1KEkf7OshFe2lnHO3U+TGu8woed6JDFcJFngmp+2sGHNCi665EJsdivhYIDGK64gnJ3F4LvvBF3j4e/28JM3iQ8uHRapHzStHZdLxzBUBEHilfe3stobS+6bT9HdciQIAnl6K5qRQN3O/SiAsPATM8BViySm0zTzb92g5elrcR8KkTX2C6yCgq4r6EbYVGB1BV0Pc6imiLBuJcrSTiDsRhNAHuAmPT8BTdWRWxUsPoXiHU0kDmgjJgsOLfdQLp5DcnwrGGHQQ7TrQVbUhsnf3YjX5mRoloOCIg2HZTWpwkvohp0ayyWUTN6GxytiWaMTG/JS74yl5YnnScnOpGrbbjImjKJs/TZynvwrPzz6HGOvOw9NF1CUVioq3qdx31MdtDgkt33E3k0foRvJIL7EPGcNU+NiwIDXGqbjCZfwZP7ZkWdoPqOWYDsuiwNZlHmk4GP2yRqPt+2mbchA1i7bR1LdQAbMiiXeE4NhGBQ0BrDK0Zx19kmdHCTt7XvRdIWRI07FEnGt3n///ShXX43gcPBmbKx5gV2pcQCwZnTF1YSL+wmg/TdJXV0dBQUFnHXW/4e9sw6To0rb/q+q2mV63C2TibsL8QDBncVddmFxZ1ncYVlY3AkaLASSECFEiBB3m9i4+0x7d8n3R/VYRsK7u9+77Pflvq5OpqtOnTpdcs5znvPc93PuvzWA9V/BcePj3whBEHCdlIVvWzWWfjEgCuRv3UOps4ZtKY2sz1XJjsolIf9Zdm3chYCA2WDmEp6AvbF8/ugGDEcFQXgbgxHjo2e0rCVLUucgigZ3A1KNhGugq0fDQ/8N+v89rsW1KJ0etWIXclUAsQCIliZqpCaWnLuENFfXlN2jcUfi7bxS/Q9GHHTRUFFPfHoiasTD8NJFZ3QqbzU6SYzLpm/WLKIskUh8yQgnPcHhhnkITaWcIdiolOdxlWVoaxbh7hD0uVG1YI9lNE07ZsSkoEeTtm04uATCPjBaoXQzlGwEoJw4vll0kNlLDtLL7KbAH8vadjTS/FHPELZX4veDIBiJihpOQvxJ2O3ZnHq2zhbY9dJgpAoFJbkMjCKiww6nJzLopR9b64lesIaJPne37Q1Hnh2TJLLm+wP03qTP/mYT5H2CrfTe0dTzjjGAr7E3h74+RKN9Hw6DIbLyp8Fg0LTuBZmiXC6qqsHRTn7eEh3NzS883/H6Ra6vIdK595n9EVvGjsOxYAEHhw8j98ZLqHj8C7aWmig1xSNoKv84M4YmuwNyzgPgT7/olNja6FoUUSEshBHwkxzOx2+uwlW/ncPbirA2eYnCT3aUhf6xXSfE2xpZjomKjyY2pesy9rgjhCqcpKQMwWwxs2/AQKyahvEPZxHTX6fAVs5rJN1RRCC8kwkDZmIzd36vB9nz2OBWsUw8vdvraPz6UwJA/+FDui2z+6cUKC4kMab7GXaZdz1Qj0kM0+LHi42zcM7pua1lCnfVULCzngFjRqNl2zm0cjv9sk5j1rC2WIaypmZ2rHgX1QjSsFF8aXAi9laoqLsU9u1CFAIkK++zPyqemsvAMMXCJ9su4vrNP+Jc9w71BhOxchAf0DLdyZjzIZO8fYEY1PBGDhx8TTc8VBFb4xDEoBVP8gZaclRdkexiVpYeRPnW+htoBiaOuYXrHpzKpv5t3tjcUDLzbliGVrqY3COljH3+aQBsk+4hYAhz89RBrc/fi9/X4pXCfPXll1g0lQeeeBLoWnXVmNpzbIdtWCK2YYlAz7FDmqbh9/tpbm7G4/F0KqtpGoqisG3bNqZOnUpaWiqBQBkWS2qP/dv69etxOp0MGvSvqcb+O3Hc+Pg3wzklHeeUtmymI2ZlM4IzUFSF3bW7mb13NjX+Gm4dcSuiIBJUgii+BjINOTjMdsoONgLQaBOxiwJzVuTD2iJdTElfbUAN19DP1IBR0JkwgijQ0KwAiQhC5we7sklXk8xMyjxm+1sD53rIddFdAN7EqXdQVP4WwaBMQINMbyYW029X0Lvu1OuZtGEMCxc9RMm+AuLTE5GbOw6ag6Mnk3v5DJL65+BI0NeFV8zZjelwu9nECbeTy+0djlPXzz1m8GY44AHxGCFQ3QUFt0OqPw/8wBcXgxrWDQ6AmzdBTCb46tnz+gzGRJVz8bmT+cuSfRwqlACFJiGES9OXSQRNwC/HctLURZjNXQeIiRgRT8hgwGuLu22PQM8dXr1P9/mHwgoJm2oAgdqzs/l+4R5QIMlqpNIfZgtRxD1wCaMe+BECZgiYeTGqjmhJRIiI19YaYro9jxjpHNtL+ncFKbJer7ZjtpguvQTefgflyadYtnAZ92SdjTtJ4E9DnmZYYiGPHprGm/1OYibL2MmI1uMcigMCIMoiJtmEkxSe5D1Ypadbvx34k9lIqbwL6FrDo6u7raoq+7Z+T031L6CJ+Lw6Q6hlqaAlsWD/K9ukvS/L3II57Ruoh+9Wnczls97qVK8ogCr0HIUtB3UDeeuTT9H/1luwR0d3KmM2JRIWijttb49mn76EdN3kfhRWG5m7s5zGYEfKuqdRP5cjxszeer18nKstNqY5EOTl2Z8gawIbx06jAAmzHCZoMGKuajOA50kTEMqrcaU2sbJxOi6XxPpTRvJ68FK8TXB28BC5WVHESbNxh3ujZZ3GS/2NWA1hrIdTqdh+EZaYYqIyN+KL3Un2uqdJ2/0nysd/CC5Q1DYK8+iSUxlSMYWXtsxnZPhRRq6HhQPeojQ6j8OmSiZ8OA6/EER09WP1CVfr1zRCN5bDCkaTPizam71oShO++ARC/8bISFkO8dNPS6msrMLt9uB2e1COxdbrAocOHWLGzB8Jh+uRJAcxMeNwOgZhMEaRmHgqFrPOoPJ4POzatYvp06e3GvS/B/x+WvL/OCRRYnjicF5JfKXzznYTGE3TuOnrnRgPurGFNVzVQdA0lMj6vaZphDUzpZoBi6DQomAaUgVqbaWUqR6gI43qq/e/AmDq8KnHbOdv8ci1GChHR4PEx+dw660vAvDx4o85vPEwph5YFuWHG1scJa2wOvTZYMivd3SGuFioKCHabKUx6KdWKOeEnDbDAyJJwf4NnkSry4ES7pnKqXFs46MVB1sMAgFMdnBEDAhbLAHJiozKqKQoll7Vdr/cXg8/HHqPRFc/pIIKkJK7NTwApCMBkLqmRLdA6MTBOKqZVW4wQPzXR4hCoMgAJ0zI4LpDdTy/r4wnJ+eyfeOHzGvuQ4O7oyx63bReXDhRp/D+tPxRgrbu9VbECAPq6Gyz7VHy8it43nmHwQMHEsrPZ83c75ErPTRMnYZ36nSG/rqWe07ZilXYwh9sqXwfaGR2+H6u7ruSx9EZOVNYxTKuISU5mrP7DgRBxB+s4qsN+0lzGWieNg9PYxPemERqdv/ExCOv4DJ0TxFueSl8/gKWrzgfTTGiaSqiIQQRR4/LNp8MZVirNojnrLNwzJ/PjuefZ8zjjwOQa/FRAsiqRIrxJ75bMhqXqQFZlRg6cgUrNtxG/+F7uLs5FTiv2+ZU1jfgAmyff05+RgZDru4i7uPYWf5w+/UB+8zh2ew7FOSbXeWcOrLjDN7bqJeRDVD0ls6DDSy8Fu74gbCi8NQnn2NpaiD3zHP4slG/r31CXvYYopHQUGQBWTAihxoo29KbkqiR7FWSqeirLwsbGg/x2Xf7ETSNL0aM4Uj4AsZqAZoKqomu20WqpYmCXW3Zkys2XUvcgB9pTFlM/dar2Ln/OhgP1xa6iMrbBsCp8okELWHih8jUlJXgKsngjP03ERKDSNEVmMY3cWhXHfbG3tjTSwg7rchVZnAb8dQHiUnWn1NJVjA010J8Av16ZfV8MX8j6upW8/PyR9i/b1rrNg1YmT2UJocDkxpGFUQUQUATdYViqxAipqQWd4WROtVGECOXpi1hcp8VhMN6XImieKitXU5trU5saGraxpDBerbwzZs3I4rif1TNtCscNz5+ZxAEgVcvHMppWw/hkES+H9mnw/4DDQVM3dHER70t9KrNo6zxSTRVYK/PwLcNRlIORlNcXNSaUE4URJpFgapQErN/Oggc1CP0W09IRJ5a/7qrrhExKpb35f1k5nWdj6akshIXsH/RB5SZDK1i8a3K5mg0llYDAnPnL8cgGvT6BaHVg4MgYNCMDC2fzuovD0K7YFTRPJxfv/2ZAxtKqC06CID9vMlI24upzMvjnbuuwmAwkzF4LCmDhpN6wEaDUeSBncu7va4r/elkakfYsOHvHQ2V9mv8lgBBv5F3P3ofQZT0eAlJjPyt/98sayBqvLNqbdsF7HAtYZ/lIUSXzKRRw9uxfICdv7QWLbSNojQQz6G1hyO/W6UpnE9SQhjR0JcKn8hIwKpUUrTpM4QIR6XNg6Fbo4I1Fsnfl+o3F6CFVZAVNFnVP4oGsoY6LodFlhQO/7hHz1+BPsPWuVICJWEfNm0xC10+4i0ihtQo9n6/jU0lViCNl7ZvIK9pAgBTvjsJR18Liq8XUfZUVvoSWLNSz/9ybvEM7lk2g0Xb55DolDvZg/5AHUXyQGLK5mDPW8Mezx762fvhMOhLGYIgcObXS4gGehXp3j6LR6dHJu/fyM8XXc8v5/UiuekbkpPdTIw9gpOhPCeM5RXGMlu7CCMyUjVkVE6ESmh+/R6MESro1KQkBt12IeWX34ymCCBoJNigNCYG83XdGx8tfgivuxZQECQF1dsHDIc6lMvO3tlqfIx89hnyFizA8dXX7M3IZND11yELukE9dOQqlv96OTEmnR5uEBX27ZhKcsRJmGkr67YtAGIk0aIsSdgTuo7L+i0GcmljCDAQZbPT0Kx7DlPjOyZa8zXpxsdbH/1EfHQdrsbBGMusXPLgcwxxFxDnaUJQZEreOgSX3MVf8HDxmEEM3VvGyoM57KsWcPVqptfJZcRTy8DwbsaWJzCvIIoDmc04VFjwh8tIUKM4pXEuxeZ0PqqayBXlC8koCrBv0A1HN5uwLxZbcBL9+9pJNlSTHxDIlKKxiHoQem6lATBww9X60tUbf1oBgEk1k04/zj7rBL7fsA7VoHHe43qW7bkvbqXS3YTfE6bFd6cpMppBjynqN3Dw0c34pxAVNYTc3FRcrnm0RBkHMfOO6Zwejyt2pWEuK2t9pyzRtZhMAUrXJWGwKIgGlTGn3Iw92oXPX0h62mX6tQqH2bx5MyNGjMBq7X5J9D+B41Tb3ymePlLO5iPbmbfrLoQTboPxN4MgsL8+n+k7m/m4d4hBspsDhTcC4PZLvFJvokEWEFsTu4EmaMiFf8Yb7DnW42gEpiaDpes1xDOLV5FW0HjMOgxhBzF1PUp2HRNB99docmm3+8/pdQdmzKxJkLhzZM8ZKhP8v/CK5dUeyxTn96VoXTSipiKqKqKmIqgqkqoiqQruAaOP2eaFQyZQGpvUYxnjznqkys6MGXufJxAN+iD1d0s2YsK+HuvJ/vYmzFHjANBUGVQFNAW0SL4dTeXWgckUxRsQjWIkv47+USN/q6GDSM1PY5OdmABZVFBQ8Puy8VScD5qApjgx2vKwZM0GQBCdaGJHr9bDux/hPrpnAQnGehy5L2BUTYTFUJdlTt+kcuEalVG79gOgKgoHBukdv2PmmWS88QL3zbmdn0LLuSMxRO+6UQQKb2KAR6DKW4Vl5TNszwrQlPE6AOM2PYE0KB2hqQrzwbbnyNY7Bt+Rhtbv3w0bjKVd28NCe00ZDZ9k49vUixDMISRRRhJUfLKFG4d8wljXTkJm/V2R5bZrIskygkXFV2WmcG422ecVYUsOYAqhG6qaLuwWan8qRUIIK6Tc26YoS8tkIbLuqgb1OJyKlDS0royM86uQUxX2mgYyx359azagtoR4GiIaRd44wqIRR1gjFJBRfDKpe92YIlRTUQCnp5KRDeuJijVhUKdjCrvIj91JeuFyVAVkexSxSckEbA6ennQejwnNJCSl8OdKL2cv+Zz+RXlkzSrGlaUbkQe+y8Zfow+C85LPZLa1DxaMbDQcIqAI1DemImqdBc2qXBI7eivM0p0bHSisR6PF2HC7dLXi+LSt9Br8HbLfheCPxWE1MlcZw6/aVCRiEYAiq0bIKJLsU7Go+jWd9PNs4n1NBNKyAbjknLPoN/xf68+6gt9fzpH9Czi49VcI+BG1AJIiYJXDpGnlbJeGs80ynJQmL3ZRJkH0IwoammwCRAp2bCVn5BjOue+RTkbntm3bmD9/PldeeSU5OTn/9rYfjeNU2/8HMDXWSdOGLQieSlj6F/1z9puoWfpAIwjgih5MsNmCqCZyznkrOaeLetZs2ccVBwq4e6iRWy/Vs8u2rKWraqvPonX7Dyu2ct+qOhZluRiY27WrsapuIRm8QvDPOzFHp7R2iq3C34LA2rcXsnOXgxv/PgHRbELVIsnpVC2SmEtlxUcHKN7VwDUvTGoXR9LuRILGex9XEcyT+OOzJwIgSiICYqv8siQZ0DSNszWNc3uY7d3w1Q2UB8uYesX+bstc/9b7SCq888FN3ZYZsXYXoLF14hA9Av6o/SoaX/y6j1SDyNpRvdEj7VvXzFoTqI3dXo8zw8ncK8cCcPv819m6ewB/n/42fRNSUTSF8pdXE65XmXLVWWiRbModBySBql92IFmMJN0/ttucImfevIL+A2OZdMvwLvcv3FTPg83w0YkfMzCrT6f9iqpw+arn2VPxE7sv291pf7i+COOrQ8FyLoPUAZwe+ivdREoA8Lcht/P4jreoN3o67BUiZGxDu4sqShJJD/+dqifvwrf5VwD6x/dncfkKvinJ5p38m1vLJtmTuPhPvWhyHuTpD/9Kn6qIcbG5cy6eFsOj3mahatIMbHUHUVsusdFI1Pg2WmV9SRGuwq2cmenCaDWhmUoImYx8s8PCwbIR3JW3iv3pLipyjFjMZ9LSrcoGfbnT6JQZ1Gcghb8qRI+sZESv/q3PgVa+FyGstyWQ8Uf8O3bAzn1Yhg7R1XRVncmiKjIltdXIqoJkloj2BWka23F5VRZDSCNW4or3YgAGaLsZb/dGssFGrr7WQtCHw6oFVJUkwcARh95mU2Ez/Z1RKKqKomgYGstxhsqJVfuxPeo1jiTG0Du/CVWxYOk3mD8/oetZVDW7eXrrEbYGNZaUNpLQWEtKTSmiQcRTbsOV5UHVYFffeg71lji9WORB60os6kAUVHYbivXLllREtaU/mRWJOCOx39tyzPw4xg6axqxt+rV6+q4Ik0xoCYeOQINowG2qx5CoLwMZYyIpGdQ4nIYcLKLITmtvmhQDAwISiqBREon1qrSJTPXq71ZsfRmq2Yro86DaHNRWlP9fMT6s1lQGj/wjg0f+scv9A4BL/8m66+v1YFuz2XyMkv/7OG58/E4xKcbJ9kl/4hxbNt/vjNAFf7gZ8wWzgV4Igsj8D88keWSARFvXSZkA5q7dj1XV+NOFs1q3tQxSnccqqXWb1WTGYupaUtkgCohoSEYLorHrmI7GRv3REkQRSZLoyofSooJqi+o+LsRgFZFFCy5nbLdlAI4l22MUJDRUDIbuSyabzYQVFUMP6pk1it5JmQzdR5ZrgoBBlLBZuvfEaKqGxSSRHtEjGJncj627IdeVRi+nHhVfJ5gISWGMtq4ZFoAuNmeQujU8Wsv1YJjVBWp7LCOJUiRYtBsnqbUtyHSQuJ9do8I0bI0jbroby7QZaKqMpoQpLFnH+Zsg2qAwNCmdVfV5vJgyhpnT38Jo1DvHI023EFzdcfksWFQEgDFTT4R12ZRrObt2Ct8uqGcfCmZgGWGacn7m4ZxdBFQnO3J7sf+SK7j/Tzch+31s+Pxjdi+cxwlnXoDNYCTY0MD+BfMIpKcy5c93UfBIW8d/yqnjGXjZta3fv527iKLCrdx64WDSk/Vljr9sKyAkVLJMOZnegYncG/MifclnypRnEQQJVVFYMv87gk0mTjp3EY4z0tn5/l9ZvnQ7532lGyXJK3dAhAhWUP0z1hPvoWzFyzTvLKLX7jkdrsH+zz9l6/yvOmy7+/mOfM6v9rxFbPVcAlipd5yGy/MTr43pHDtSU+Nly9pibtxZR5lN5MxbhpC6Udc5yR8cxyV9U7lliO4pfem2b7AFg5x5+QWcyQWUlRWy4lc9UZ1YWcpbN1yGpmmEVJVz49NYPukMUpRGzlzwNnmZtTSlG1EEI8m7TGyPllBcuj7Nty6VX4sXI2ubqAs9xh3qzxwUJBYL07Banbx6ShS3/9JMQFZZNjzyHgkCSmo9Hm8jFUIQAYFpWjLxqgtNiwQzi0C0j41RFdxzt04XzyuPpixvDR5bFea0M5nQ/zak1T8w2FTG1ye1xcE9cqiUd0trCafZudBipzwUgFAATGZCVjvDJk7qdC1/7ygtLSU9PZ20tN/GOPzfxHHj43eMW7OSyLCcxdiY/vzx0LtcXf49Hk13VytyI/2GXUETr1BW8SnaepkBo67BaOo44O2qCZEiqRi7ySx7NMIB3fXc45JxRHisJ2pXbu8ARcUWxGPIYB8L+sTmt9dRU9bMoYp87DFtRoaAQJ1cj8Kx87906cY+Brx1fhpe1GWXdw1yQdax41/9tQGa25UyS2b0ROZtELRjr91rGseUGtcr637XXrfuzfCp3tZtK/c8RYOiMjB5Ov2TJiMK4lFuqTYYrVFsTJnByPK9hNV+NG+NR0LFlJSCwdy2zmyw6EaUKEgMTsphdf1+Tj7x3dZAVH2nCBqE6msINZYT9FYSUPS4mOCedez/4nlO3TUYNI10RxMn129md3ZfdgwaxLjy3qzdMpY+chHfx5zG9Eo9ENdgtWGIicFnNpEwdSopubo67dd5u4lqqOGbdoZHhr0/Ubsnsum22Rw4JRGT00Vh8WEMtLFwAFY1e1ATrfgAKaDg05KB/NZ3QpQkzK4wSkjis/se5I9vf4Iq689f2YqfsUQ7GXoon2ffeAFbMMCeh19iDOieji5uVnOZzlz581uf8PEP82he+kOH/TX+euKr/0YYA6dN381n259DQSIcbsDtySPgL8XlGsXuzQKpS0rpK4JZBYOmEnS7kTQZRTCgxZpZXNnYanxk7d3JoLIa6q66Gr/RwLo+adDSl2gaiAIhrx8lHCLXe4BQahZ3nDeLS5vzSQvEkCBGIQkiW2J0j4WGiFmw8WaVfk8NQh1JZt1IGAukahVMqhiLqaKKd0xV2Pq+jdE7k1jzhQzzhDg5mMQuZyU/ZWwFNO7Zfw2SJJLnbDO++7ujCIltAemZsePYRipJQjlK+T/4rHI+IfVqVKN+zFNHylhU09SaZPDXRg8b/A2MGn8KE3ZtJ5SYjl+VcLiiO92X3zPKy8spLCzkwgsv/E83pUscNz5+5zgnKYbpsaP4tNcz5BbehlKnD/xBfymjT7qVLQvW0eTajPGa1znM62QsX4YjTaf6Llm7g3wliodG/PbbXF1wBEgh6OtayRFoG4Skf82wCPp6YBj8E2hqLuXhj15gY/oK5C4G7bhw18F5LRA0De0YNMfhJQdILtjPtNLDvHHGyQyKiaK2wt3q2emd14SS+dtilRpq22IM2oyMtgE+1Z+AUnCMRGqRAaAnBFXw+LpnoUyMm8Ti2vkYtTaD7Z5tXxLSBNJMc1lyyU7d+OiBPjHuj/PI++saHJHTJN+ciyGz42yrKazTpptkH7IqI0Wo4lVViykt/ZjGps3YakSiZQNHJk45+hQANK75iIfyhjKovoCYoL5sc+HqpRzqlcWqviWUOWC3Q+DKg4vZnTG29biaEt17EvC0LfVsGD2DlLoKhlis5Gr9GFlhab0PqbberPlY1x8xAAGThWC7BJGXxsXwVK3uMToxJ55e0hiU4IYObVVlAVtCgGBAd/vn7fChIfH91yLg5R+rnmgtG1Oqs4g0Wc+a7Pf62fDTeuo/+BC30UedSZ90WGJjwWxBljq+09srfkUCKm0nIQgCe9weRiOyfftVuD1tGWSbi7/EZBPJvGMUW+YfJLrIgyUhmW2JDXjcHiZ5TUS186JJvcfRVP8LjpuuZeXyhUiKymXPvIxSH2L7vO9RFYVDjZsAiLKlcVVjIr4vD/Nn9WLiJ+ZywZSLqPfX8+GNkxhQ7WTrWc8ySpnN8OA+Non9WBV9AkcS03i44F3Sg1WsSB5IUlk1VXIiaigJz8FHsWZ8hOK4im3ABwkn0EvMZNVVHwFQ+sAa3DEhTrx/Zmub1931DK71u1lwy9etsygn8ZSl1hDdSyZKK2R/8mCQYdqmPPK8OmPEKgqYBIGwpjHeH2DTkPGY7E6GlBcwpM+ALp7G3zd+/fVXoqOjGTDg99n248bHfwFcRgO3ZCUxOdbJn/YcoSCg4K54nw3NXyFKBQjtcnnVr1+M44Ib8PoCPLDgEKmEueZ8XU1y8eLFqKqKyWRi3LhxXQYExaZlQkUYv6xRXdfYOhsQhDZGTDDiHQn4fIQFoy6WpgVbywIIYQ8STsLeMGKY1k6gdZAVoKZEH4wCQbnjuNYW1oCq9pwXtwV7NrzC4CWP8jagFsKv0kncHZ5BvCZw9YzebNu0CVXWqPF4u60jrKqoAtR4uzC8IgbXiYu/4FBmX/LSc3n+zfexhMJsGjaOh6KNNBQFcUkCkkcmZBGojVAZW7KittgIkqBicBjJSHHgDUSojJFB2x8K4Au2nV8VVcI1TZHzt6xv67EAmhZhszQHCRaWo8kKyLrSpRZW0BQVLSxjFqCmoInKLW002fYeFWOlPqguOLyGPG8lRtFESBMwCxqNssLiA9uorD+MqgT58Ug1AiAJAgY1iMsqtf4+M9Do1Ih2C1S+mY+UuAHTyQkIRiOKILHu0AIAHj/4Gc3hRmIljRUr+7ReX0kw4cmSaJhoJmHoYCRnNJItGoPJRfPn3yEUeJB+1RiXfRjT5N4YckcRfuZjAPoUFNGnoO12BcxHyLTEcnjrQWxR9kjr9DihFuzsPYSajN7MnjWxdduaxQdIW13NMzkBjEOu5C/TJvK3XeXMleDidgP+LUPSOb0plqCq0ddl5ft1yzo9MubwSYQNP5E0qhZBEFCi+0JDAZfdm01zSQWe2IsQvvuK0tRJpPWdRMATomzvPqwqFI4aSTKQDCwZ1BsLEn3SIzo9ikKzXeXh7d9yx8DTyK/fi1So69pM6neHfm5RQ1GkVsOjsuIKHLVDGVMRoMplID7KArKKLOo5apIGDyJeVdFW7SSu3XKrEArhtbnwhPRnUpFE1jz5CIo5horGMmKdqURbU3BZUumXfIL+fLsFzghPoTgUpLq+krqJ09F5J824frib/cOiuKXmchYmn0ZKWOQCKYZpo2biMQpc/+scXl7wHs9Me5D9FlAEEU1p0wpaErOO3pTQFukDvqiOk5jo/dsRC/bgbzJ3yMDt3GWBFgbyo/rmAn8QsyBweoKLNwdlt9ax4Ls9HPDX0WDXqf+nnN59gOvvEY2Njezdu5dZs2Ydc0n2P4XjbJf/QlQ256N6ttDcvIvmmrUYqo/Qa3OIzw+OIGg0MOGCSzkQdvL4LpFnJru49PRJqKrKE0880aGev/71r51EZ17+Zi3/2NqzbsTbxpc5Rdp8zHYqWiwVwdm0kRU7YlUgTFPXSVA7wCvK3Pfmyd3ur6vaQ9xbese3Y/xNWPcX069JFzh6VT6HrBmPsaw0j28zUo55rj5VJczM29pzoaY6fLLG+WvWERUIUBYXj+AwkNfrYQCevKjn+BQA0/pqxObOnp9LzNswC7p7/prKPkjRxxaGOxa8ioa9By9VnaGRq3L/iiJ09LIkGlSq5bZ7p4Zi8B65v/W7JkLwxNRWw3Leag8Z/o7dyVpDHnkGnTp6yHmIXfG7Wvf9MT7AAKtKr0Iv2SV+RA0+Lh1OrbtnRV+brDL6hOmMuete5Lo6mjfvoHztHjRZRt6zA83mYI9xLG5n54BpTZMRCIMgUxkdTcgg4HNK/DzeCaLO8KiL5CuyiQI2SaI5ECIkiXz943Xs8A2i3pDI0V4go1ZJZko+SYOyEWhJeCciOvQg2YLvL8bX7EYT+hCTOqrDsmb7HCCy5MVvL8PQtI8GixPi4ondq8fAOLJzCbibKVOLWTxBD6Lt64jl5hidxVMd92cuGabnPnlp9Y2khHfzjngrRm+Q2WvbVEsBDEk25Cofu10iS0+qRkQgoIh858skK6+E04VqTKZoTnn5SczhIKFZlxPw1FGbv5WSKDNeiwlHIMTIfmMY+MD92GPb+urSqmJ4uYgD42v5e/Xr/O3vbRmQN+WkMLv3+RTYs1u3BWal8eKqPBIsb/Fs85WklVeT4m+gOHUmCalWQkKY1SzCJIUh9hdsosI1UcMQBIFT11+PbAyS0KsWDY1mqRHPs29E6j2x8wpW5LZZlv7MT+Mm4z3rHBB1Flid143QIo8eKew9dBCbHOKlu+743ciS/xYsXbqU7du3c+edd/6vBpseZ7v8P47kqByIyiE19Q/QH1BkOLGKCw7tY9fWPLb++D1fuk4Eaxpv7w6Qr+3jz9NyOOGEE6itreXAAV2/Q5blTsaHITYBaOLyvmayXS2KlBFWRyS/QZ33Ig6XNlJi7sV0308AVDiHkGiwIDW0GSWSUE9wRAKaZGh96VuUHzWg+nA1y2q9XDImozXbbevOyB+rjxxhb6ORz168j6i4NZF5v0Z7nslF7gruALYm5jDqlOfQTlL46vm7uSj0EbcZvqdofwKL0y/HFla4K7brIFqAD8ob8JksGJyxZEwY32WZgqU/kiGZue7lv6EqCttPmEhyQx1inUZV9AEaYvpxxmYvh2I0Jg9LQQNKa5rZUNCALxJyclaumegxMdg9Yewt1FdNozFUSq/YNkq0/4F3IKEX8Rdf0tlzhAiigOoVwShgcAi6FolB1JfDRBHBKCFIIuriemR7COtpHWnCLfMOraiJr7a+yLbJUcT1diCrYULhWpJMRiqCfpCieW5xHjWNHdVqBRVeS7SiabqIWdnpRpwhFZMmI6gamr+ZkY40kgMWvtuwGYvFxB8SemHwZiI1FmHcF4frUDJVjTLzBD0Hz0BXJbU4OfWWyzE5nTqrRxTBH4JyHxvmzaPR62HXxjWM4V4McXHEnjKT2FN0t3tzfjkr/74CXzCWNHMFuecOxu/243cHaKiqxWRxEvRrhPwqfsWDT4kisyDIutFOFIt+bRNNbe+EBoQjhtvg6CqmOA6zviaTpcKJLVdB/9crUL0rjqRBcuRdUdHQUBr74a0OEvK7QUjCYB5EwBtGUzXkUOclNYNix9ncl7ApGYvjEAQ0mg1OKszJOGuMnHzxGkrrjRCM5OyJaIU4+3/OzNS2Z9bvL0IzqJSrcThoG3wEo4imgVznp8AusC7ewBqPDRUBVRMx+f1kNpWiBqpopApTWPfMaSsXYAbSBEitC+I16nRfl7eUqhe3cTDdTsbJvRjUJx41LCMCcW9+wY1Us3pmBp5aU+T3KR2S8wWm6yqcyWl/45AhEZexjl+1oQDEqSEO16s0oAIzCAFxjjzGxBbzdf1ONCDDlscQfy88h6LRUFHaKeyKy1d26TXVAL/JRGFyKkuMDoiI8IWjHbT3s5pDAS5oqCF2wKD/KsMjEAiwbds2Ro8e/btkubTguPHx/wIkA7jSSB6dRvLokzjx+ps5eV8edy8pJT05hq+2lLBsfxV3nDiAc6el4HM3UVlZicXShfR5JObh/BNHMSIzpvN+YPPC98ktOkSuTxdZWhV/KdNueYvQM9ORgLChH0ryFISYLHqfP7DbZhe8/QWXD/mJwYNeo2/6EKymzi/K0HInZ7+6m1zfEM7OTWgVRBPaUXtHNizDL+xj1M3b9Z8gSVz0l1fQ5L9R9/K5ZNW8RzJ9sfcawy2jh3bbniXzd1AtNyG769m98muCYpA4fyJii+dGEHQ3bmSJRJQkRm3Q87SEGhrIDipsfmclpQcVpHiNp26YxEtz1/L5Zt2TNCVR4Z2bZuGw/rYOYfNj76NmmOl/9Sm/qXx3aFq8DKsjRNKorrVH6gQV+2Yrw1OzGdA3ucsyD3/ZgCbrxsoM4yE0wC6E2PttRw9YY8ZuevXaoX8xAAHwhs5mZdpKLk4bzHhxL1j2MnOvHi/xffyjuGJHQoFufFRXxoIVsnKnYo2L05eQAMFiIaConHnaefx003U0upvw1TTqS0uygqpqaKrG4R+3UyqnEi9UMHhaNrnTOuY2KTvYgMkikRCJy3lg/l7iFlXx3YhcsmM7s5OKGpsYt11fzwldugA+mcbouFJG3Hk/lpi2a7Xojc/Zv/orTj77my6vnxIOs+ux22n0/cSUF5/mxb98iz0ci9/RiCZp+pKlCN6glwRPJsZwFLF1uiLlu6n9aZL0a++fbaRo6CLUeDuisYkv6s3cd9o2JKmjUT3QFU+ouYBDJ89i8T8+AXohWorwKBrNTgeSM4p+JUcYULGQu11BZNVPvUvCl9qLXwsS8Ukij937GK/WjkCS9efV72pkX8x6RhWeSkX0PEz1qzGZS0mPFRhYHcT1wX5WxRrwOcMMRSCMgcTJAZT0KjxLMsioa2ZwaQ1jL3uX0dSw+gQ9KDShdAZuh0y/5AP0yz7AJ/v+wMuX3kdsrN7/XPT6+2wsTSHO0sQj6XU4LGEey76EhNGP4q/axNbtlyCLGoKmIRtF8v05WB2xXP5YR3ZQe8y+6Gwm1R7m5bMeA+Dg13NYMPdzrnzwCRIidNpVC+ezCrhg7L+fXvt/E9u2bSMcDjNu3Lj/dFN6xHHj4/9BiJJEvyGDWDhETyJUXOfjoe93c+dXO7n3m12cMjiZ80els2/nDu75shCTtYY4m4PaZoGMOBNg7jHOwrXjHQB89xRjMluZFqHbatH9oXobsmMo1uv/dsx2npazHJOhmtrCi6jKF6kODiYt/VqmDjkdQRB4fdkh5m4rxQgMtWRx67lXUHGohPxdJRzZUU+610wfk5koaS8GY36n+gWDgZibv6Dx7zN5qOZBPFEPQ7u8H0dDEwQqHIVsTNhIqi8VAQHVITEgYTCqoqEqGqz7iRRfZ4EsU0wMJmDqoxfyt1veJc2k54r4ZGsNYOL9C3M5cVS/Y16TTm36d6yKCmJXvOpWKLI+AzcYui8zJV1ieUGAmwdDL2cvvdouZoPBoL6s4nTcgaZ58Xjfw276gTMc6RwuGc34rE0sLZzOTPRB+iE1g6Swn/Nj7iIheABVyQOO8P4t1yIA4XaUZlUQECPXQzCk8tHD27poqRU0lbOfPRNLXGe37/x/7NDvYwQtfqaj8jlS3NjEk1v3skDUDZI4dyNRcYMpn/gCqb/eh/Ef/ShMOIu4Mx5g7YKl7F+zgmRLM+qjMVQMfJKoMSfizOlP6ddv4Nr7GkbNwwijG1zw1qcjcTYnkHYunDOrIxPhrY++xr/NizPKSKjOhCdLpamprb1/2L+SqzOfgkZwDngACQ1vRT6OpFxkj4+gr5z60o0YPWWEgHpPE0Mq9PuleJORUHCERYRmDZPhe6LVdfgLzFj9QYxRBraai6mpuQKAV+csoj5+E25HmMSaYViboxnqnklYDHLGiiO4mkNAOW/c6uad/tG8EJcFmyoZWiSz2yXSNEMlYazKkMZZ9PlzOk07XiWUFGRcXjPlsf2AOkwBO0OveA+AOUtuxiWt5MqBX3Oo5mTGxU7X77sGY9Iq+ObW61m95u+Ew7C34WNy1pZyKLQCTJASSsdqSUOSbBSKtb+NAdYOLe+Z0C6ouKFON5CT0v/1pc//LSiKwsaNGxkyZMjvPmzhuPHx/wEy42x8et048ms8LN9fzWcbi1i4qyKy10jIl0pFxBOaX9FtNQCsf+8OJsi65LkoShja6XwIbn2GaGxa2+WxRyPXcgHFoTcxJ/+D8tr9CMFFqHV38MnCd+hV/EdmeWqY6jrMT2lFNLtTWf/dNpbuatQPliA/CtZocLuigNo17VeyO3Hev5qDr5/CVTVzgTu6bY9OclQpdZRS6iglO9yfd699oEPA1v6XHwRgz0mRGXWkj9trTeGz9DPwGqMotSYSrfm5/o0lNKkmRsWr/5ThoefnOAbb5TfVIyH0EPMhR/LZGEzdU6eNIhhFjTsuP6fHUy1Z+i3BYCIzZ+j0ySVL1mM07aGu/kYu7/0IADk0MCnwCm5szDTlE2vxU2+14vMnYzKNQWiuRaCB1EY3jkCIAylxeEefgCunD06zmeJ15Tg8LqaMDOuDjCDo9pWkpxRwJMdiiYtCVVU+fWg9ngZdrUqUhA6GB0BtrMjK/jZ+XL+Vq9ITWFvbQEjTWK9IVBtsOMJBhtaWMPTgHqTpQ0k9+Y80pA7At/gJsmvmo344n315k1FEjedmNPAc6Wzd/xD+A39FUTXSAY8hlTrHyVgbNuKgDnljLOGBFZx10iWdrl9LpuiZf5zAOa+vozlieBgcRmRPmJsvuQ/qoUWw7ck0P5sPngYHO9ZjE/XP1LmTOCllPBd6pzD2zj8w58nHadY0bn76WXjsfACs91fT+OFIRLeeEqHZCFFhqMnbjCRAhdfGuGvhyQ13t9Y/a0Ube8rsysds6MWEiZNgYiZLNu/n+uYALwolGJvNFHn3I0TPxe+yMPZwLZ6k8SipIaCOkMXLpp9HE515FqNykmlSHqO54i8dlj/QhNaEmZqmYTTGYQk0s6XUS8XG96hM30nyCJU/T4u0b/7Z/+NlEjWS2E2MZAX3+7zsPVKABRWjsful2t8b9u3bR1NTExMmTPhPN+WYOG58/H+EnAQHOQkOrp/ci6I6H9fMe5GSGiNy83BG9K1kb90+NMVBrn0ig1NdXdaRVvEThWImFWknM97alhrdv3otVv96AISbV/2m9ggICJrEpMGnAqeiqnewfMd3JCmPIGa8SIlTD1Rs8VX4AKPpfMKhNve4KxRFtHkeANWP9dfT2euL7h1CSAYIVZQZeg44VQUYEB7B0qs6q3i2wDfAjqXQhzQ0s0PM4cPGawkJJs6TqolWvKwJR0OJ3qHdPOOfMDxa8C86PjRNQxAlFG/32YVbPB9GY/eeD03VevSGtSBm2XrsqyX236nT+zKsGqLfxImPvtlapk/2Dk40Wpi991I8mplY/CgGP15nAQftJjaPLkY2hSP0IAGoA+ZDEAho3NSsq2oOub5nBsLcF7a2Gh6xqXYkg0A4qDJ4SirDZuqz2a8+XcnuJoVdCRK31wYAKyYljFFTyQh4+PXkCeQt3slc2jw9MYOnEDP4Z+Tn++D26PoVIalNQ8YtigTWRVFeZCP3rEr290tgzLUf8Pabw7iyJsxZjw0gK/lEukKVR+ATu8irb65tjdN+/dRBbGzy8OmvRZxftofx1lz6kErfq3ZTuX8peyt07keacAPl8mw0KYymwS9eGyn2i/k2PoXJxgwkq5nDpm5E9jQVTTQxethyPsxbRkFIYPa1F7HgL59xpbU3po8sDM3sS0qfNJaWryTsUjA2SSScN4aDSf3ZY0jkq22lfF/RwC8WGVUUMDQ5CUdVIUTto+6Ai/p1sRh6lxJVuQFTvUjhqGhko4hbbMBdqrOW/EoUVqktAzLoZpax3cMnikbGzNrF5j/rk5zk0mHMl/Zw9rA5pKdfonsxjml8aB0MnNYs3hE21LezP0RG4IJzu0/w93uDpmmsX7+enJwckpO7Xj79PeG48fH/IQRBIDvezsobHuOXkl+455d7qDVYMEuNACy+6vHWspt/+Jkx2/UZ0nbbRPoptexKPo8J173UoU7Dz38EEcrkV2h8uxBNPUzIV4XR0s2ApkFRZoj3cm7lmSWfkhUu4hxpCxIQDGdicrYl7QoE7NQ1pSL7ba2GR244jX6ynVg1ll2+3gyNOYJfiEJqjRuJDFyR/mVLnZntWg4//rijNXD26KWII0aVeHeYkx9pT5vUiNFK6W/0ESOZkKaMJeUCjQsu65gOPfSAzq4pSzWzu8Shu7eFEAYU/jF/GzV/fZgswRsJuNVQgiEO986mOq1jFtH2OEEOE/Prr+y5YFxbR9naqbYEoIok3HwLCdO6VrltEbZSGqyUPrim405B/ycl0vH+4e31iKJOnG3xWutXUaBeUbAIPXcXV7yykL8s7FhG9OsVpRdU428XcjI5bQOT0zYQCln4dN8wQlKIYNMMigxNaKZGBiRfSJTNRUsOZT3WR6/Lv8WNNeTknTu/1/POaHoJTY3cc03X2ADd4Aq551KbH0Y0mjEYLWxZYGHHTxZMFivu5hBTmqKYFK+yv8GBIsMIlzdCLRf4YNEe/Ae2Ayn4P76H1SY/d5oixmmyBZuaxEZpDXV5dma97MKqaNQJiXxx3iUwAW7a/QFjbDupeT6dU4w2EBRe/OQJ7MZdJNpHUlgnUuooZfw4PVh0WclgWkRjpg5OIiHJzi9hP8sOVKMJ4LnoIo5sqyOrTF/6Sx4wi+QBRyh99w+klz9L2ZT4yHMB0xw+Du+KJTRsJG8VHmbsvfcyqKAAZ7Ob3a+9hn1/MunpNcgfP0RUcQHfFg2mZO2fkcxj6Bss4/31ulE/D7iw170MUHrR3ziEqnKZgoslRvU/hZA9iopKC9YoldubasGmPzWnbvVS7qnm28R+9G3oh0nazf3/+BhFkymbO4aMiiBT19cjCyDfdwAEgb99exsTUregagLbquopDevLagX1JrKjitlV+iOy3IQseyg6vARoU/491+TmoNdBfe1BStVY4psUjuzbo3uSNAiFQpiMhtbvXkHEUFdL2ZpfADiyTY/dOrhlN7aaAEeq6zCIIoIUS96uCIe7JWg+8u51Sq7QSQyxHc+3dZOGGpkcoUZC57VIXVrL8o/eP2kt3yP729I5dH1ss6eJ8vJyLrvsMv4bcNz4+P8cUzOmMu/sefxt44ssL1uBWjuGB656hhkFa3C664n2N0NkXBPQOGgfiXPYWa3HN2xfT2jJ0ySJpXjkyTRK/XT9gIAPxe/BIDo68szbvYeb6MUmctDMInvMQ3AHnExhCx85r+MZ7sEQiexUmpM5UnUe3/Xqw1mlawkajNTGZDKtwgYSmK3/oDSg99krD7zKjJtuJW1yR5GqDx54iPpgMy4E3PV1AEgGA47otqDaCXVhepeH2BNhO2gauAOFDDAWgwqaMZFGTwxGi65zsnxFbwAyU27mtswoXi1OZWOJ7jFyqT4mNOZTFpNCSmExw/J30dgrByxmNEHAWVJKoslAQ1Zm5LJ0nqnlZ6aREaXomgy0MY7aOjUNcX0d9Su/79b4aGEXCRYZY0ps+0NbPUSF3iDf1TUzKdmF1SC2asi15ATRNI1QhZde3bhh7vtyM1/v0F32Hw84hXMK17M+sR/DG/biHNGMHKvhGejEXhfCKjZh9yl8kXYqYpmNmjIHXqcXV3wUG5MGYHTvww48POZahsamd3m+Ww/PQqoYwqnpIxFakqBF/hdEfell78/bCPsk4tKTkBJ6EQr6kYMB5FCAgKcepSGIqgRRInlVGvYNJTEy662MXJ/WXEUk45O8WGrmsio+Bkxtg55dhTWMxloRxhGoAQSUdveyaqKJqLBIfMBDQsDDYaORX5J+5fyC87EcmEJ/oD5rHp/t/wyAi8IP8bngxC/Cqr1VCHvafrfmNDIn6OWFgJudjj0cWlmGoqmgatiUdYSTLMTUh2iIbfNurB6sM5zSykpoXrCQ1tysb7xJEJHKaheZztdBgBK//i6M8m5AbhdrI0ip7JNKUWpc7FlZQG8hkfzyYZQesAJhriFMwAA5Y2I5sK+MRMdBVE8s+QEbA9GF3rTQRMxxaaCqpFW1Ldm4h0wlxqrP0j/cexnfHjqLsGLEKxuAljXgWAbGHaDmYCTNBDJHyu4k+6QMqsvH873xbHZnnYqvXIRyH5x5B0NKD1P79bddPj8A9B9OY10lX77+YofN6xZ8ii+zH9idyMCc7z7uvo7fIawGF7m5uccu+DvAcePjOEh3pvPsxGcY+o8XGZJv4KqNeu6GZrOdouTeZNfXIFlN9BFDIEiIapCyOa+g1Rwgvf4LAAKaA9/MGxk0XRds+uXzxWyZ/w03vvkpzriuWTNzFv+MMRxmzdh+jNtRyGrLVFaj51po1qKI1Re3sSce4WSzzDtRMXwwWU/49UyjgdhpIvVz6jrUOT3zNtZ9+yFjdtxDal0hBi2EqGk8aoE9Wj/6znyB1656CIDMwcO48OGnW4/98YmlaKLMvfeehN1swuML8MLzqwG46fa7SIqJ4uWX/4Si+fSMsREUV7zJNyFd40O1SFwRkLhJjEJzOPAsuB9UXc+j7/sfEJemd7Rbxo0l3hXFqQ890u19efvWM6geO4ip98zutsyeEwZ1o6KiQ4usZZvTAsTfMKzLMonA2C73tGH7G8uxVnRtfNQ26WJxk5IULrr+buZ9uJtPVJVbC96CxmRohFPmHcFvT6TftAbcspN30m+FdPRPO0Q7LFDXs6y8Et1EgXkxaUMVJNGKKFkxSDYMBiepqRdhNLrYt+JDMkemcN4dT3RbD8BXP7xG6RdLuevuO4l1JXRZ5stvHuNp3xKe+kMZT5it/EX2kzdqPGEJqqdfhNU+lMIhTqT+fkZHWTEPjCV94/s0NTagnDYD7xl3I1oS+fLnO3m3dguLT1/E+69/0Fp/RuMAXrpNfyZviP4Ho0sauHHCX5FEkYQEO+nJjtYZu0kSeXbng3yTsAiK29r4fB8L+Uc9CHW+WFaYfOR9v4yYNcu48uSHuGv7VwyvOYzPJmHzKTQ1OlFv34g3/wjT5l4PGHnrVBsbB+n39MLl/YhTVbaqNcTX6Vo6tYnr0ISOqQosMjQX/8yomR8gGkJoqsR3JdEk1RVh94aY1uiFovVQsgFRVQilD8VUugsx9zQCNTpLbfSw56gPxnLfhOcIK4qegBINVQmQbB+D2TCK1399GHuTg7smP42aFKbOVMJGh5XH4pvpG2NDA648IKCZLZwxQ+9L9h46QkFJKZPHjCbG5UIQYP5Py7DYHJx/1Z8AOLAjjz07VzHxojswOWyUNtSQ3UtfLj3mCk47L6E+RWjxSh6VkUDQ97UXbiSSPbjFS6tnExY6fBfalW//XWxJ6CnoWjErPtnPtIuG/NfQgo8bH8cBQNm5dzK/aA1iVDoq4L3nccZcewGiKOJ97hzEhk0Yvfsxmn0IP29qyYeFV4ujeeRfSTn7WtpHFaiKPruResgps0myETKayYqJZveYPry6Yx9b3X6KNJEVhpO5wPBla9lHXPYOxwoWA7Zh/bENg4CnmvL3f8ZUmcFW+z52NG1iwnwv+SVxHY5xXFiGyWLljs+/R1NVpKM0TiyT9LXz9Wth49ZzCfkciAKEkEiKiUSOCxI11Tl8MecJfA1XEgjWMnD4IiYM2sGcnMsYevAAqYFowAIGq06Djhgf9qTotvZrGtq/QXkwJtWLvXY93scmd7lfCwvA06B1n+r+t2B7Xgh/2Myvjy8hVTaQaAHRpPesF3sVJmElNWCm5tsSJjpd5DQFcE6Podcb2zHJKiJg91aTd2Bmhx45S6xD1CN1AAGLsZE6emb5KHIjqiZSVTW/076CwtdR1RD+ulyaKxuP+bs0pYXp031QoRoJ+hUFATkcYPvGH3jrPJWdOSLwDfANLq+T3g0TcI09B2u8QG51X/YWDCEqYTv+hiLievXV1ToFgfT4DO6990HWv7qA5D7Z9D7zWqxmC0UVZUzb34c/NOQilOqu/jKrwI/TU4gySggGkbqwzKeZGlZ/MuvPnYckihyp20TlgetQVRui2KahUe+Ppd8ZU+l38lRW7/0TNZ/uZHdcDsNrDmPzKXjtGnFmLwduPZn49Crck5JwV9nZOKi5tY69g+KZtDcVuye7dZurYQhf28I0WvxMMB5g1aRpZEv7eFB6G1fTWBLSZ3DE8yyXuwWS1cVM1/wI0cBHK1vrMJXqrCjXd22idXnZWVjVMBOSM3SNFFU3cEwGM0bJAIJAeePLJBpiyR6o67rM8e4Er0Y/GaZbYyCuNym71xLtimb0FD0RXEWTh4KSUgaPHkNSkr72t2D+fAIBP9mnnaGX8Vtg5ypyRw8mITOZUcd8cn5fWLXxAA67i0ETuvYW/h5x3Pg4DgDC5Xp+BrVZV0scfv4prcsl9ge+by1Xf1kKriw/Pi0G84PbsUdFY+9UW1v0ePtkXEejoV0elQSHnScnjWm3dxKri2cSPnwDa8WzSPIMIkYQ0ARYZ9UQI5lww24PFa+uxeBNRh5UyZ7SX7hipYoHPaGZFCuj1OuPefOvurv8aKOjBVJ4EopxLapsI+xzIAAxcQpjxuSwe/cS3O56mhr12fGhgy1S53GsWX0FFwQspMQ/wgajjW+z69kQfQK3RfchOOoKqn5ZxsAVBax4+AaMJgsiAq6Al7r6Y1CLfgPSBunLBkGf0uV+TTCBACZr97LyvwX+sJkUo8BYv363A2EVn1VX5oxHxGAAKaShRZL3JQiQO6cBBaVV4tqQmsqohZ8AcPKKpymgNxJ2FAQURMKqTGNES8Sm1tPJLRKB09EPGkuZMX03suxDlt3IcjPbtl+CLLcNnHUFx5bPVcK6YSj1wGhQ3G4wwIuzb2ChuAe3WSU6SeS0xv6cMPws6nw1vFb1KTusPzN27unodJQhAKStfwnLRi/FjjjCvUa1eqlsNhMjr5tFSA1TV9tEQK5m0XP7sWjZHLSo9L53BHvnHSK5JsBzipuWnIiCqmHXFCTFgD2S7bjywHX69VWDmMMCI8Z9x/jX9tBsjiH2UBVGUWBDiX5dvuh/MkXOZOIdS3k5fjs6s1SnlPbTavHl1jAhYSpNoQaS1XxWsI6wEsMJhwUE6whkoweLpZYzowvI6LOFBtVGpdnOXbyApgmMOPUD6uuL4cCzjPBLJAUzEU66QmdtaSqEvFCxAy1zPH61ATkqgZY1wLuWKpzYNJ6mZ9pUcAHaP7nv8TRL41a3fhcjZmv88rvAcwgcSagDP+iQ6mH79u2YTCYSEjp6tmzR0a1/t1Ftf59S5D3B7wmRt76C0admIfUQNP57w3Hj4zgAGLB7B/49eym7807ClZVI0V1LXJftSKZqa4DUBT9hiorutj4tMmsRuxnoAab5G/jKGs+sdT9R3GDH0Sjx47kjSLTrQaNTMmegZRxmbEkJy/PycTrsTB43iszVu/CWVlE8fwfKPg0xYCfqhkSie83gmgW1NLGdlK/eJHqYrhMQ9tZzeNQJSPTMe3cF7dQbISE8naysaPz+OhobFX5akg/oOiLOKA/9+6Vht0fjrztIY2gzOYEyrm+XmdWgafx0/l8wGvXg2LycgVTvuIfYn7aiCTqrJmDW2JbkoSf5MFUN4PcX91BChyetN44butK8ALW5EZ7ZjaGDbPT/HP2ynfjL25KyCePTGHpO92vLDV99S+W8I3qwqD0OzVuHOUfXm9A0hav4kHj/WIad3jF1/MJ9b/JgLVh6oAaLgoCKhiBIGI1OjEYnkMrECWvw+wsxmRLZ9/k1JPdP7HjgY+0YXPcXgjUGVZZRRA1J7N5ILivcA7kwx7qLgXU2ZsWexOUXP4SpXcbezT8fZm3pWsbcEqezVESwybXsrr6WMatfI9NTx+ryOobXXMLfXvwcY0EcBrUj80RCN4BqZY0hIY1eqoQxqFE4eQh1vjBqWCXeauTuuQIHg5Ggx3YeItWgYAnbsMYOxZvdgD/TxW2lEQPXpCGckMj5moU7Jkwi0XgNda8OIF5VWyNUUqxucENuocy2qimkikPJTVzL+UkVjPzkC764yIskWKgTQ/QeupAfqpMZ6XdwV9wLAAiCRo3qRg3rDCODAAFDMpxwa6drKhCJTW2HmQs+xWsvo26C7rGUIoyXsBpGU1UETSB7lZ1hwT6tx+RGXrvocMTo9FQRkhVqG3SjXFEUVFUlKSmpQ+zZiuGTyEvO4u8/bUJUVQS7HceFt3BZj4uYv0/s+aUMARg0Je2YZX9POG58HEcrrIMHkXjvPZTddjvzv/8RITubTKOBIQP6tHow3I4M7L4K7OkdZxGqqrL9pxIC3hCCIFB2sBnR2JutS7Yy4qSRmG2dVT2rqqsJ905h73YjhtJG/MAIeTNDg/XMjIYtQZn9DhdVMXFgjIYgmH/eDCYz5grQqlwEjZXUpG9B3BUNu34k5v7Z+trryh9pXLW49Vym1ESCAZVfXpiPK71vl7+/siYdn2Mi4eT1xKX/yKf1ZmaOPI2QpwlZ9iMaDJjsViqkKi4Zdi2/vHU5/rLLCWi7GByvz7JnZM5AQOCTb5cgCCJiyxrtHU93CLZdcegnXEH9unWX+EnTwF3Rc2cYsFkIRsW2i/s/qo5gmKC9jMPl2zCv3EfrejRiu+h8gSq+RcJJLEct30TGNsVZT118GnsbBmHQzJhLPFS8tqNdNH7HYzRyqB1/J+tCdZj81QhoSFosyl/fIkk+yJCToda6iW833oAgSIiiEUEQ2VCpr/9/vPYZhkX1wSAakSQjkmjEIBqQJBP13kYUJUjlpsVILieiaEAQDQiihCgZCIl1GCwaPm+IvEOFEVKPQEq47Rms27qCUNJoaqrKUUSNw+WF2Ay2iHKuzvgRBAFJDVA9NgPqK/lrwiXMOP18BFHE7S1H9EsIgoiiiTT46tHQ6JOZ1k59N4Mdu94mrIoctEUz/tCfEUMxeAK1qHY3XmOYPlOjKS4NY9nsjFw6jXxFRX1jJ4OS7YBGOL8IZ0wstZKRAl+AGsVPnSlAvruO7z6eyhGjiz1RZh6OHYut7yWUF+wnKznAXlw8GudC1mBdaTWrHGbkOg91hfk02ezkqA4aASduDGgoiFSY4/mw5lLCfjhFcHJb74UYD+l3NxheT9AxnIHSJp5c/XcA0gYs6vC47KveQkaTbuRLSvB/FH9gRsRuDdLvxJO6LbNv1XxM7YatltoD424HuwH6zoI1ha2y4nIkY2NJSQkAvxaXce2eAuJECWfQxyVSCEWCA35YG5dM2NpZ5fb3DDmssHtVKf0mpGB1dEOj/p3ieGK54+gAuaGBQxMmMv2tthnprT98wzU3XU9qv178MvlSEmu2Y7z3GXKvO7e1TOmBen54eUeXdQ6aLDLtsmmt31VV5eNXX2aPXyYvOYvKYgN1fn0WGZiShEsVaLJLDKgqZ7xBo3d8LBNzs6kpKeWzxUuxB330Ky3BJzd0OI+kqMzaU9Dtb4vK8uEbPpifmu7utgxATN9lJA3/GkWD1R4Di5qMKFpbR6cgcJ0lHnH7ZYiNvRAQ0IQQanvrohtVjFZWiyYgInLOnX1I65fRZdnXbzyNoFvg7jk/dttW/4vJ+DMGEnvxii73K41eti28iebkDYiKhbY0nxoIbTlyNEmfrUqhrvVdFE0j7wedXm0W6ZiLp4tfKwBrpDArbGHiA02IqgqSRJPBQra7lPvH/oNgOshii6NAQxRgrcfA943H7kR7mRRuTwp2u//QD1l4K3/bQOKxyHw7o+w3le0JifVmTtvQnb6Chsl5KeIxtGZqRJXZUd3/LiXBQnhkXLf7AXJqyshP6HoWfMW3b2JP6Ezvfnv8mWBu8/5MX7uQ6YcKODn7XNxJm4kJ/Uxs8172mk0sttn4sFxP3hYe4OKTjKu6PNeETfXYAiohzYgm6AsksighixIIAlprrI+GHR817u8BkC1NHeoJIyKEHFhUAU3TCGtBwuhU420xJu4cn4ArpGJUNYyCSIVZYHB5EacfPqgnm9P0OJgGu4uvRk/nT7/o53mMl1ER+OiUHTzdWI/PLHL3vAYcLWQcAeTgIULu+Uim2MgzHyF+twaFtnwHENtl7e5YpuVYoYvj9SDSdikcBLE12FSvk8i2o44XBJSwitedzJXPXEF00n/ecDqeWO44/mmES/WYD6fXg9uuz6fXnNabc889lbrXPmL4h89TfubJhF/8C7QzPg5u1NO1Tzy/N72GxRMOhPA0VLHorXL8zSH8bi+b1/zCuvVrCUr64OIEpsge/FopjSYL2TUZGOfrRsiokSrjbzytY+PSU/B/9RFHSgu57vOvO+xqeekX3XohAUXhD69/30kTo/pvZ+AEbnpKj4I/2urWVI1PHvsBmzWHMRM3sHDbHUwXNtDXmcyVM3Q9gEZ/JVO+PpEPArUw4B/YQlEsvWgJ0VE9Z2I9GjuWbWPd3EbksNxtmb4nDGbfz3u63Q+6JDxq1/EeAFK0HXPMXmLDDkac2vXSDMCqVUMwW5KYMOPnLverapC8+asZflqQE848o8c2AVTU+3j8BT3A8PE/TOLU8el8PftHXjtUT6PLiFx7OmKNitlgoKn/ZIoP+Jl+2nCe7D+IS1/KwW+NZtDVy1DkILISQlGCKEoQWQ4iyyHMcy5A9P0B6cRrUBUFTVPQVJnndh/msvwQ4xM8hCQ71Sf16dy4yHxr4/f5OKwC/U+28HhMdCutuEVnQQ4E2ba8jPg+u6hLDHNm/PCI/oKKqqmoqFTm7WbDrgoyxw6nPtZL+iVDaOE8aKqGpARRtu+n/EgNI4cdobi4ksrKytamuEwJjDrxbPZurKAhoDJ+TAqzDxQCMNRkxqPU0ShDEzYwSqhemT+KjZRRQJ+E3oieavpLDsyR3C6PFoPXZOE+rZxqayID7HqMzobPP8QcCjI1vIso9QhpYjWH6MUG9Lwl9pAPFTuJTV5O3b8cmhpZl57KlqRS/jy/nH2CkRPGa8SGJGq1WVytraTK6CImEEV/y99xry9C8e3EMiwJRQ3irgjR1HQQtX47+fEjcQ4cgKZpLPHJhIwmRsdFAxrFvmaKAnCB/TDOsm2ElSzIDLbSwNE0fmqOIr3ewKgGBUEQMAkWTJHw9rFuuG9fAK9BQBbBV7oB3+jxDAgLZCVn6xMDNOr8jbhdqUiKisfowhHWDRwRjc01bnwOkVnbvGQmO5AkIfKIaDSUCYTc4IzLxOyIbtXXIPIctGgG6R5ANcKE19Bo+VuN7Gt/XOfv+jJ1F/si/7ff1/7vkL+cuIwRvwvD43+K48bHcXSAZfBgnKefRmLdYdKao8lLSmWHNJg9uVnMGJjJsk2fsvkUK2IoSOCLv7aKP+X8Og2APZX7GHHSqYCd2FQnmnqY/J02dh/+Gp+zCCKGB4rCw489hiRJBBubePuZp8FRx80vXNqtq7Z662b2VhQjCWAyd73Q0HfmySya+zMFi98l59zbO+wTRCOaqiAau1/f11RdYjnKksAlEz5jxcpcYtRSFFVGEg1EW5P5ctZbFNXkcd+2V/GZmvl60/fceOIV/6Pr3PITW5UVuyl0TLekIIDWvfEBUGNt/E0N0nqQctdVI7WIoFfPkBWVk19YBYBBgynDkvEUl/HAQRGI5+TiDVSUjUaISkMBrPkCfaQYKt6sYUHqQvpKGoJowGzrfoavBgRCpjgsWcM7bL9iwyLiamfpX0ww8qQxGAxdq7vuXCGg2gxcdLrOivjkoV9x17UPUrWTTSxj6c2YGRPB7ISjErgdrnmDysrF3DT9Fmypvbs8zxr5Y8qPfEP/867h4CNPEm3QmHD2JSQO7kN0r1REScLfHGTnjlpOuWYQ+wJ9ueD51ezyBwBHm1tJ1jCIMo9PnQVMa62/pqKMT597gkB8CgMDIerjUvA0NmMVNAojGaCza8sxeN2Yh0xmSvhdAHpTTD6ZTGQjSvHHJO/R6b910XGoLhjdZyv9Ur7kh81TKRXP4KfahzC4REzSL1wzI4fw8mRCIZWkwdPQ5m/F0ieX+LPaJgxNhw9TcsaZGB+7ml4X6zo0Xy9egwm441R9eW956RbuOmTg9CFW+sR3rQS8ccsvPNlsZW6BQKOs4LWIxG9YhYBAbGo6M4t9RBWXEy7bgrlPDlmP6wnVKp5+F7kuA1NmiNhLzmf83lIUQeWXPpOYtc3N642TENFQVYj1qXx89wmdzr1rhcCyd35g6hWXkTtqQJft+0+hYMdWvnv2UU689qL/dFP+KRw3Po6jAwRBIOqv99E8/0QIQ4LuCOHJ8+HJnyLhkSMgqclK2Luh1W2fE+kMqzaHIDIOSwYDUy5K4fC+KnbVFQFw1szpDJ1wAoZ2gajmaBcTRo1i0f797P5iDkMvu7TLtvmqqgCYOLZrWimA2e5AQMNdW9lpnypICIR7/P2qqiErHlYWLqak9FPS0HNkXPDzkzwz9o8MiE5lYPJkBiZPZu3+aub7v6Qp0NRjnV1C6Bww2E2RHqGJIoL6b8j/gtBjWzRNiUjXHzsgr7DaizvyXDhEEafdxLb3lgIpPB2UmZw0CtHSjWHR6CLZLOJWyo/ZXqGL9uZMu5KG/aWIqhFNUJCk355SvMXwyBmRgKZqhAIByg54yGl4B16IqEY+VAnGtkDT5kZdD0NWuvdgVR3R1Xo95dU0eCoZ2Gcy/c/pKA3f3uC2WYw8e/Ewzv5IV92cneXBOTyB9w8WsMHaeTll+fdz0SrLMFeWMRDwVpTTZ+K5DP/bAwD4LU4MYT/5CVHs0vaTkx5Lb6euoRNv2sgeSznfO2M5315CgjeDquh8djaP4rTyAq5M+Rqu6vggntk8iaxZJ1O6cg3BOh81xY36bzgqMaHq1+ndgqXteoVRybO42FS5ixizEyVyD0Wh++dqpNXHz24HJ1zXRoB9fN0rmIeN4YE/XwDA5lfncGRrOYJVY8Mt9+hUXU+ISv98omuSsO1cyfixs5jbP4WKWi8fx6tEpxgIBxXC5fWYMrqezDRWVgMQldD1cuR/ElsWziMppw9pAwb9p5vyT+G48XEcnWBzxTEqejRbG7e0bjvDPIGRhgwQRE6cciUxCUfFKdwAb37wNezs2NkPnTmKfieE2PWcTuUdOXlql+fMGjIE9u+nsLiI7pLez/v8RwQpmbTxEzvtc2/fRt7S91m9vYicJIkBF97VuQLBgHCMRG2aqhIKFaPmv0oaUCb0YodP5XDtd1z040p2XdZG81vdtBxMcPspN/ZYZ1doGWx69HxEpMJ7bO9v8HzEeS0I5t/SefZ0MhUEPfXesbCjsL7170ZNpb4xQGW/XKj04jBHIbbrdjzmED57iGZXAMWkIkUZSdtVS8yxWbKd5a0BZ0ZfnM/0ZeXXe+mzrf6YAY/tdwsCJGZHceofh+AJeZgwZwJMgLeBv+Dgomaof/4LJJusHycKlO3bC0A40DnTcQssDn1J7ue330QSDfSd2YXxfJQg1bB+8Sy/NJenZxfzqpZJ0sHtZKZFs0np3GVfeOOfeWHLBkyeZjRzHxyBJi65/mz2/+0BVIuG59Z61CgN1+ZozE03sa7mRcr9UezMdfODy0OlIZa7C7NYGbuLZnMtZrOTUYM/YFljry4tYM/uLbz65Tucl3UHroAN5bMjABzyh2hvUipePdZCsLT1CUcs+nN41n4VaIIIwwf1GDf8qFutO+DaNhbV7qUskE+GayBEAoZxaOCHxlAVjaEqcnbE8n7zSdzSoJN3LWlGUDQCRR4C3gNMKn6K57/wEltbQvK8xcQMyObAr6sxmBNJyOg5Vud/G9WF+RTv3sHpt937XyMqdjSOGx/H0QkG0cDssz9CVmUW5i/k470f81PzVs6bdgNjksd0e5ym0i6gsQ3PPvcMAEIPs+Z3v/gCDAYmX9rZ61G0o4KFb+/H5NTTjy/+rprrj+q/5zx2P26LmcGuKqZc/Cim6M5qlRoiwjEGar9qo0HIZOTwZbikIDOi+nOlIDD1hxupb1zPewd+5oZ+J3LvY3+nsVcNyaFMTIZ/Ispc0AdPVQ0TDvnRNBVNVfX/NQVNVVHkMEZBJtxcBJGYBn2dWQFNRlMVQppIvWrB5GvGZrYjdKGrIqjab3Oj9ABNU/TMolrXS1blh0pZ+81m4tOc9M9p66ijNQGLWUJLMwNeDkaVYIvTr5cpyc7Uc87sVFdeQQyBqBSG99iio+Uj/zm01JC/oxo93Y9+nezGjuo126QzmRUzBc2jEmqKRtN0tlCSZTwHWYzJFt/tOZxx+rPo8TbQP3ciOdPHd/41XdyfjxQzi85seY4nku6vINRFqnhJkjjz0edZeu9NQAWWmFqWr+iN8EAUgqsZtcXuPKWcrJpXqd9vIjTFg7zrJE4oSWFx+mKu1tZwkvt29pjLmHXn3Yx/ewR9/XW81S8JWVUJKQqyqscvzPvmAGE1yM/ln3Jiatty4+qaKkaqKqYIe0sN6J4P0WrlWBACFbRoo4CureIvzMOQkohIZ7NYQOhw+xvqdE/ZH159oUO5sN9PrTfIF3++nFCyiTPun8AtD/zIhJxY5tw4gYaGekY8vx6tNo1SrueySXBK4QZuP/dUNtzxBM01exgy88rf1QCvaRrL3n0NZ3wCfcdP+k8355/GcbbLcRwTISXEjctuZGvVVoYnDOf0nNM5JfsUoi3RHcr97bYfsIac/Pntji7lrz+bx77DO9vqU02okaAuISIwZCFMVGMTY9dtQjGI+iAQieguSz6fujjdtWgwNhMOOREED3rIqo4l5kYIH2Jm/S+k25roNXQE6RNOJWHkSYhGfbDzPnwOBqGGsuCznX6jBBQEA+wNGBga9Q1Doha07tMiA52ohAAj6xjNHvpSL0pYZDsibQOyZPKQmLuWV4M6E0dSDS3hh2gRg6PFQDPKZs5fnYMl4KMr9HXWcGZ6Xg93BqaMns1Bu66fIWoKDsWPQw3gUIPYtTAWVM4Q3yXVqHDqzGXd1vPzykEIWoBqIQNFkTHUBHAZnRSsvA9RFIjOrKQuP41hs2DSOZ2pkIvfWkr+zrZ4iL+5/GgC5EpujHKARsVAhSGGvvGfk2YoaZdiJsJ3aAmuEwQe8JSQLQfxmlParn9EtrrluIRAIQXihZQ4ru38YwQBmydMmk/jjbo5iLTZXjoNVt+QHz2SSklkiKGBxJABTRMwCyJZxigGkkO1Wkaa4XOazFsZzCC0YABvoZ/GiqzWU5WrITbHyqRFi0gGjd3+eJoUM9G2tmth9tZhDuo6FMMbJLJol/ww0q5CSx8OJk/lxDNiEQ16rpolYZUn7BLnuxWG2Sp4RErHKIcZI5v05H9aay3IIT8nzHkKAEtsgP4Xds/6EmQzmiHIwQMTqKrKZXBwC319dcRa9YE77dlJTHx3BDmldkYejO6qhta/pjoOIoyfQNzGqVRPq2Ps5fe27vv6hmtp9qvUJ8WRlTkMURB4MSOV4ug2/8g72lUUkc2s/JMwGmMirBCNeYcW8VHuLs7el8Sg/rEkZm2l2HFh29m3rMNoMuEODqXGncQeVwK/9B/FCXs3MLT4IGmiBoKIzW/EaXNw8MgGMCWQn3YJPxImymLA4q2lWmr7fb2iCqkLxNIciuKV8sc5EkwkPnsMVz73yO/K+Fj39WdsmPslo04/m2lX3vCfbk4HHGe7HMe/FSbJxHsnv8eywmUszF/Ic5ue4+WtL3PD0BtwFNayYvOXCFaRAfLTXR7/h8vPpaBoEt+8tgBNkLFpBrzhRkyDM/SXWtOIKzxIUsjMuuEn0GSXGB1lQ9M0FFWj0ae7Ty98fgJKTR2rvtpGfUlHdkmZyYJiSGfi6ByKiytYsyEfZf1bmKXXyUq20GvYCBIVD1GSQqh3dKc2OvKbyDDXovQJoST2YrNyBR6vB7PJiMvXyLYKB3XE6teDINlRdVhdo0iUUlsj1oPhRgoqCiCYATTQz5zJeNvprboPgtCmH1EeOMwizyKyTokl2zZSX/OO0OyESCr5mMLvcFeY+LLmHPoOySE710w4bCI+yR9JoCZxsEk3PN50VOKWw3hkRf8oKl4VAqpGs9GFJPUc6+JVBVRVRBbciHUBzCGJkNqIpphRFAi6LcRkVJE9qPOSF4C7rgmI4tLHx/PVEz8zOmilytSExagR9HtxyjJSfDWpYkObTkOEvtxKQ4z8vT04lJBUT7TVFaEmt4ivt0Bjd9BCnqUv0U5jhBSh0tC0FVEwYDLFke9KZlGyiEtxQYTmqbZkCo2c+6DmolqxUKTEcpm9BJusIose8tRaBhhzSdAyyJG3oMrxILkxsgdDokhzc2t6NmIay0mr92FLjEIwGvD6TdjtXhzmJqwGP/WBGBrMDswaDHD7yYiKQUTsNJU31haipcxg2Y8d44eypjuZm2hkbkTtNdrtxm6Ka80LqEVW5mSDiR0DxxBVVIM9xofdHYNoEEFoJTLT5AlS47fwTcbVnKd+xZDoIyQkFlD4dTRZSX9ir3cXsVMySBcEDBYZV1aIMcM6e2kA1OIakowStv5TqDo4D//aTaSd/efW/Uqzn4lx1wDws3cpdXV1YBToZ7ciGO0U2S2kKfuxKGFGu8OYC3uj2dqM8LxIBuQfBlaREl9EImDzro8YouDIacJq8iJWQ2XNZPL76Ndn3aDxrBs0nit/eJ+UxkYMqo3apnpspmisgpGx7sMsicrEH5Rpbmd4ANREpTDSqS81N5qNkAcB3xYObP2G/qP/0OV1+E8gf9tmACZc8N+RvbY7HDc+juM3wSgaOS3nNE7LOY06fx3v7nqX17e/jqIp0BuGHwlT51pDcsNUvj7/JQSTCSkmpk0bQ9W5A1FyDX7VwrCCX8m57CT6jB3S4TxXLN/Hz1qQZ04c0brt218KqZqTj6xAam463qRaKKnHPCGea68YjCiK7H/pGxZXO7ireiyCRYBMDTkUQkAj01PCmEUbAQt9XCJnPdk5qqTuuY8xh0Vm/vlqAB577DFonaHqFvzgKA99+/Uja/QpuJI6xrwoSphvvnkcsQpOPOkuXl12NRcPnMoFQ2/u8nquK5jLotWLGDblPIakndxlmYZF23mpeiYkQ2i7mz279Sj+IdPSmXKxLpSWvGw1WZqb88ac3vWNAz5atwRBcXe7HyCACZ8UzzUzVvH47efiqAwz8rZrsWyrI+CNIz7Rxem3nNrpuJ0/b2PDD4XIYX3ZISYpmhtfO4/rwgpGsz77/+66K2j2NHP1mz8AXcTiHIW37r+fvUYjl9/xVLdl3n7qGWIHDebiM/QgxD21e7jvxzda928oLKH/4GUcufIRTJau3f7LH/yCQaYwR0JWfhXT+OEvp/HtS7OpCtXT/4ExCIoGz8hoAy+lYeFCkrIgbMkl57u2pHBNj5yD4etC+n38FmLqQHrt3s7OvFuJimrGZmwTBpdViVHZC4jP7ZrRYfjTn4hZey9pH32MqqioKiiyxgxFo9EhIkqw49OtNGjZZBubkWWVASMT6DcgFhQN05gkbvOu4A3t7/xF/CNXn/1hp3Ps3L2Tsz8vJZAZy4fSTdyY+DrV31lZnjWTypTdVCTMxey38N4nz+LTIDEK+mYG2mlP6B8BEXonIwi6XkeKfxw15lXs2FhEQtQ6zAKYQyotaiIZtmR6DZ9Fzuh6bv70XEi5HNJPgj6X4F43laaVR4i7ZhDWfrHsOVRL6b5aztJ607v0e4JCiKRQDfRewR+mrdDPCSxaNBrwEgza8Zss5HoaKIlN4gLVx7eijU/Ovp5NhQriAd2gqfDls7rqG/o4N3BXwysAxBoF7prlQGwIobpMzLCt5Ap1Lb6QgyFn/x1PRQFrPvucH1/8hO3D5jLruseJTerf7TP5v4Gm6kqqC44w66Y7MNv+++i17XHc+DiO/zHirHE8OO5Bbh95O4cObSL4wfPkVuwkMPQQW9UcPHUmUAS0VgKAboIkieXMvHsyqlmg+rQHKH7HRp+xr7bWe/Wq/awN+NHMHWNDxIjUdljWg0VVUZfXvvaKIa1r9JedOBz30l0oqq1Ni0E1kVevsCV6JDXROcgBH0OUWs7q6kcJtFP8BIvFQiDQFgR3xuBoRl/wWLfXZOnS18jLMzByZBzR0Xq3q/YQ3Kq0xJ4I3dN+o3avBHIASHaOpzKSG87maosxyZVriRd69mqEZS9x8gHmrLuw2zI2zUOzpndmmlkkaIVxI09m9ACNT/6ymcI9ZppqG3HFR7ces3XxZjb84Ab0bQnp+mAriiJiu3t42BmDPzWL7558MrKlzZvRYdU34tqusljwH2M1WEDr4ArvF9OPAbED2F+/HwC7phEWDMfM1eGQVB6blc1flhRzxvMLmSHXExYDPPnUkwiawEOEaAoEiH7gNeTZ07AaD+JfNRfrtPP19sf2Aw4gOPSlhMFDRuAvrMRm6MWgGcsorq1k/5J7MKSux2bu/nkQbTaMso+4MYM7bG8vB7bznQqcgoZXkQmENTasq8Tw+l3YHAkYxlzJLbFbAXhGfQfoGPsAEFb1a7G08QXclr3YVJXtkzM4zbmCDQGNbE80sgAyMMnnZ5zSyF7Pl53qORrGOoGfpl3A+zMvhpafKIFjhsaQRoWrd8QQkxCG0k0Q9sKmd/TPIw20kFwCAZm1y48wYFk50YDXAH21mQhAKHEdlayIxB3p74sghgkGhnP1VXMBeG7DNlb64c6Rg/h2h77k9L5UzR+MDqLDEFZ14bYJ8UXs0ElzNIc1/liuoiUf5Kppp5MTdR9wX9sPyxxHv9EXsG7e39i2YDUf33MXQ04ZyrQ/PIbB2DV9+/82Dm1aj8Foot9/caxHC44bH8fxT8NmtDFs4DR4aRrMvR72zSdlciZ5838k+dpTibn35S6P0zSNclEidd0yti9cwYgzZjA7r5wlWhCDBIOVjgNyrU9nEix8ZCO+JBO2qhAiQqvhATBhWB8mDOssKPXjqi189MtBFM1EoeAkT+w6al04SsPi3nvvxe12c+Sn91mwz8Ow06/r8VpUVzcTFeXhrLMeo8mv9249GR9axDKTejA+Amn9ePTQy4RvKEWIt+L3hnHGWjoMuhIayjGitg74fIwR/Rh9u7st41dVDoZ0g0hzBzHkJGKzOsAK0YmNNFZH8/VTP3PDKzq10d/sZceyYiCG3sNDjD17DLEpXdNnfdH6clWRx9Py42mJd2iL5mjZDthsNB9rjV3TaFbarq9RMvL1mV8jqzIG0cALq9bqKrI9GB+Fmotyv8pX04ZhNhm5d/5h9ogZnO8I0yz5SYiOx1ChELRJmPsNI3zVjwhfnoq68u8QMT5UVUIQNQRJ70oDlZtptqnEGvVA0cz4ZLTkYRxmPYKlhwFLENia2JcPH/+cZn+IooCAS1SJMug5UiQR4gUT8Woso67KYN37NQCsHXEfkhwgphmamq9hkescFg3ohWHhOhKt0ZhFkeTDPpL8Gh63hxP8Biq3Dycq5mQaZImGoJHyGA+WyJKUkYhBWLWb3o7N9L70RzRN0YOcWwKe0UBVWrdrwxR+Td6MUZVZ3jeFoKISVFXyy6u4zWjiiuheSHIQJt2iG9slGyF5CIgie3x+0gHvnAO0qGgcnJzEjNN1z15jo5/y2esj11pGFE2Ry6VhMLUlHtRkBRD59ddNJIt2Ki023s1IQfJ6uK5II9MxgO31yxEFcAZLcJszkIINXPzGg4QumU7K+GkEQiUIhohUvxT5iAYmnXsPI2ZeydIP/srO+bs5tO58pl55BQPHX9zzM/p/AcV7dpLafyDGnp6l/xIcNz6O49+DaQ8CAsKR5YgGDf+hEmK6KSoIAvX3P4nptWfZtWEHB/sN4oEKnU//UHoSNw3umM306Zoaxgyx0veAl7SqNkpjUUMNWTGdWS0tKGn2c++WJnx+F5LNgCLIxHaXvVRo/QfQGQTR0dGRNXMNo7VnBVNFkXU2CCBGDIqejI+WfUIPxkcoLh1L/hZM6fq5jZbOr6uIdpSse2dsDWeyNuxk4/lfdFtmyMdDMEfiQgwOG8qh6tZ95z9wOh/ctY72gQqz738TVRuFM7aekadO7tbwAIg1GQiEgtz5/PM9trMFTz31FHZ7V7mSO2K/pzM90xBJ8NcimCb2kDAOIBRhYJ07cSDvL97HYdlMdno8jhEpJCYnwRuASR/wDL1HEfYbEGxtBo0WlhEkPQJDDTSxc/sVGEVIH/lIa5lWWnUPz8M+Qwx/nXgjqXX1RKMSK6nISNSGBWRA0QS8RhcO2US/gbmsEcoRNf1ZVgwWNEFACOzF3jCQWdu9/OOsGAQlSGxzkBu3lXIk1sHcHAfKiDgGVhVw4qF+2APRWH0KawN6MKwQiagQ0EAYxA9BkXutbfdVCQT47J7FeGUXM6fV0++CsxEMehsMlv3EhZrpmzG6tXyCQYIjtSgCoKq6Z2vCzfongsYoE+lAnRGCZokRf5lAertJhdNh4pDTiAOo9vtYs+1TBLUWlxDC7S5sK1dSCEm53Gvr2B+4NnzCV4E2zZhFKwcxvO4fhExR2H1VaIBx9g8Uzv6h23vTgoGCRprNzD5fAotf/oy91m84/dnXsaX879BwFVmmdP9exp37+4k/+Vdw3Pg4jn8P4nrD+e+BphEf/CvVH83D/uOPRJ12WqdI8apAkM8LDpM6fgqeYCOHF/8IQ0YyVpY6GR5hj4deDQXc0/wWo+17eVJ4mHq5P2tMbi7XTJRV1BATZae08ACfL/uV0bmpnHnGuYTCChd8uAxfrT74yH4ZATjoFLllwS6dqalHf+r70/ogan6als6nIGBnQlEBDjVMnRuKwhlc/fiHDAkcxqn5QRA46crr6BUR9/npp5cpKZEYNEjvqJWIZPpLO75m6dZIAJvBSIMjGoPZDGj4Ix2iZ97lNBqidMGsFulkOUhpokZCtRdJ1eD5bNA0GhUzmwPpPKVcQYxRRtUEtg4ciJJgJfunbZhUATNgRcAqCthFEYckUR8MYT62VipBRXdN24o7sm/WfrkOgFAgjuUfrUAQJVRN9zK5h8p8v3kN2uaOdXlFiRpbFFFGA/tjkgmLIo+v3UxdmYfkGg8DY/QBXdWgTJZRUto8OglKJelNZRR+U9dtWyco+6hWs7j4l/1Y7UasNgMSApIgIAqwraqZyeX72b3i27aD2j+GgkCvQDYBm5NHPv8FUYC9YT02ZIP1ZQbUHKKsBqLihtF/8xtsdIeJajjMAKtM4QGFIw88iyYK2PYU0Zx5FotvfosBjh9wRSvEWLMpOfIGgqS7LBqrt2CKFajbsJJm0066wnK5Fxjh3KH9MRmkdmygyP/5K6gKOIiuaGLvrY8xweJEEAQ0RUPVwGgyIJgFyssW422IZ+vgy3nvjfcAaEiC+YExGA81Y8h3Y+grI2kCNkmjImYP/Qwe2pg3+kUyqwFiNA+8OSHyjojsKR2EV9bVNJevimX5qjVcmXwLTnMzYtK5aKnndPhNLckoSwSVXw/7sBgKOZo3W1xZzJKE70kcPZHk1AT2HFmDILSm9kMUREr7qQw7MpY9jc+RbPkF2VIPBnC59rBnzxI0TSOxfCfXH9rPhX0nUVVxCHXTUtxnK0hTHEgWAcOaaP4xdCjzrX15+/kHMMp+bGPHII3IQctw6J5PRUNTZVBVNEXRvTuqEvkuo6kqFkUhQZEpKKhkX6mPj269jhlnXsCAq7pgXf2bUXn4IOGAn8zB3Skh/XfhuPFxHP9eCAKxdz9BoDpE+d33UPPqq8RefgXR552LGJnN+m+4njs3b6E+yoUppHsymhYs48SMzrPnw6PH8Fbk70MkczF6h3ozUL74Meb0ncmXA2ciY0AknY8rDfyw+z32Nxup0hJIim5m5T1/wGaQ+G5rCa9X1LLfoHbIrwawJ8UORGbbJoh2l0JQxK86aNKs7PFZCLtLGKOUojTWs33VcnoNGERlZR6//tpErxyB8867HwCzaGakTaaizkwN9ZRZHQTMBpAbcUVeOUURCFrHYK3ejGgPRKTU9S53e18NRRJIqojEhYT9eqCfYOUkaSsnSVsp12L5Rp3KjsMZCE1heqVF4VM1/Gg0CRq1AoRFAUUEu6YihHsWV7MZbCRYE6iMqHECrF2/kEkTzmDUqSM4sGk7AHkbARQgClWuIDhvDv4uPC+rx53EphFTdPGXfnpQ6MoQkBhDuiFMaNeGdqU1lKK2Oq7XlpNJOereVd22NxuVQ550XlCHgDsIR8fTJqVTEJOAdPsrnY5tOVP8rD+xS41jzu7GyJxfHyx7uYpay+bVn4tX/olx+19GQiEUlggUNBG99zsETaMo5zxqUsdjBJoqbWQufx/NUEFIqWh9xmyADSPqGUmEta4VV5uNDiDMx4drWtsntPvAQFLUMKcfno29QRf1CpudSCEfYjvtml6R/6Nef5kq4S6S0A3JAVIV+5UkkpQmwqF48vrPp2qVh6c+6jqm4x+P3UEWlVCfHzGKVco9nQOOvSTgtJkQ0FCPmmQYjfqz/ooQRCwIQMHeTscbozdiSVkGhcugsMumAPAFMHfLtdjUs6nPXEpNvzmEwma+/bblOTJgVAXWrNIQ6AOuPrCqYx1n7+r4PeuTT7o/4TGQC4zav49FTz3MokXfcXDtL8x69iUs8d3rvfyrKN6zE7PNTlKv3P9r5/jfxL9kfDz33HM8+OCD3H777bzyyisd9mmaxmmnncaSJUuYN28e55xzzr9yquP4L4IgSaS+8DxRp55C848/UvXcc9S9/z5Zn32Ke+lS/Ju3IMXFccK6tayet4CEB++j4s4/s+WO2xl1wvgOnhKPBRztvOuF2YkYL74F66fvEVtWQq7JzYOGOfgwc/V9r/Pul9+wtkylTEtguHCI+8bZsBn0QeW8URmcR0eWyiOb85ld2wBIGIMKMarAOyNymDB9eIdyA+6bS8bAodxxy6P87ZKzW+MTGhp0D8bUKbNaZ3oGo4kr40K44i9l9PSHuWTZWlYaHDxrCXLNBJ2xsnXLPE5390IapRDVe1SHc5kX9sJnEwjYrVAfBlm/AA57FJvsp9O7aQOpah23G+YxNniAW6qfYOUfR9Adpn+iEexZWw0tEsCZkJWN6jIjNgXZ+MrbFFQd5Ipz7uKSG6JoKCggEPQTN2wEm37ewqH1c9EmXsC9t1/dqb5Fm/Iw+YIUTx/ZYfs5C3bSYEzgsccfoazGy/crCmFlFePuHcbo3hHj87GXKI/pT+rtG7ttr/vJVMZlpPDXr+rRBLj6hXE0zJlDoLyMcDDEohHj+XtcGoPy9ndbx0n33MMZ5nquevxxAF5/42qU/edjMegGcdbWNzhQYeLlvlvZ7fkLWigZTXUw4JpKFt+o6yusu+rxVk5USoUem5D85VfEDh6Kpqogy9R98gM1f3uE5NtGY87s2kX/2OvbeajUQ/pzXacOKHtgCVFD/ZQuPNK6zRh0U9bbRtqRzjoxDvy8hU59f1m4jHFGWGy8E02DCUdeo5JJWBODdJffWRQNaMmj4Ma2jMonh8OsfvFzGuoFLBaF2HiJ+Bt+BLuDpp+/wataaKgtQtY0Xly5lQ1hKw+vseCRwDHCzqkzhrW+Ny1aK8tLzPyjcB5X9n+ESb1G6MJ7kQRtKrqo2cYdi/msejYlQzUydqjEFs+ibGACA3NHMWSwAxDYtWodR9b15qI/ZRGWFea9r2cpdkUHGGd+hnX2K/Hm56JpMiq6A+ZfReyAgVz66TdsfPEZNm75ldl/uopTrruZ7FO7Z579KyjZt5u0AYMQuxAS/G/EP218bN68mXfeeYehQ7t2Ab3yyiu/K2GW4/jfhSCKOGfOxDlzJgmlZRRfdy2Fl16KUlMLgBQdjRoIMPmcM9iMhv3117Fffy07jUYOn342pzz2V+wmI8uu9GNqFBmRfTXiu3MIp1vp1VSKVlYCwIXvvIT/paF4Yodjj3Jxx/XXcvq+7WjuSnKXPMZqubOgWAtO+XwTO1JNOBB4IC6OPw5KQ5J+Q7ckQPWh7Sz94CnK/E2AnT17n6XkRwvxr+1Gm56F0yjBTJ2ecmN6Aisr/bxd3sA1kSpMMZnghpDY8RUsX3cLvkhMQU1qPCVJIhOTH4W1ryA1FjHgpMtxDPkEt6cZ899zmSDtw6jo53njTysAyA7v4+RnLsSYpIslaC0Bnr8BksHIve/OpcnfyJuP3UzVnOU8vWgVlqZ2npP5ekZh0ZiLYV8Cc1cXcf6UrA71CILQmrej08WLbH7+3e30KwmhiBDn7OgRSG3oWVxNA/Z4/Nzy9gw0TePwtOnIkdw/IoAkIUxPY88JgyHJgpSRRNptjxPVuy0mQdM6Kot63LGYpAC75z/Nn545HffIMNoDOwCBPgOX8MM5PzDpqW84kJ/M8L/+wC0npJBSvgaLVSC7aAmWiLBc0ZtvEPvmOzrTxmRCaFHA7WHlS2nqKM+uaRreDRUEi5tRPWE07DTts/POtTHc/0sp2zx2cqro0vCQ7Ap5X6XS+4wqTA6Fm9Wv2OG9lVLzFNKNq6mMiKD7he7z3giCnueoQ71GI9P/cnXnttdWctEtjzA0qzcDHojQoxN64/SpQCMORYAtKrXjQ4wdnNTh2HQ5FgqhtyOdCYldz+gDRw7xWTUMPWkYSsZu5AVmZoy4DLOrzctQFF2IqBlJGK7XYfu6Bl9ziKZGC0u1xznp2nSWHVxC0L2MbdnJ9J90Mvs/+wRBEvXBXJQQRRFB0vVzEAVESUQQpYimjq6/I0iR75GPKIr0nn4i0SlprJz/Dd999CbDflnBtCefRTL+E8rH3UAOhag4mMekS678t9X5n8Y/ZXx4PB4uu+wy3nvvPZ56qjMXf8eOHbz00kts2bKFlP+lYJzj+P3ClJ5G1iefUP23l2hetgwCAUJHjnBg+AgEs5nYhATSJ06gOOZ0GguLGfT9t5R8/y3hWYP4S0wDiLC0uYnMRnTxrPnzsQEpc7/lo4dWcnOyl1jPOhp2rKdgz4+MPPwaAF7JwtZgPNO7aJM/pLAjRh/kXx6QyZnZPbtLdVaGHpchoRIIKxwsrSMkgctViSAcQa3VXydhZRFOJNyZurth+oB+ZB/8ucPwbzCYARlZbqPJKv5a9gcXAzDUdQ0+fyFHAivQRl3D9nmvMsgmYFx0GRU/j8B30hPkCnr9otaRaluhJFN+3/1kfTw7suW3yasL7VroskZz+yPv8NWC1ynbug1jnYesOjdPXxrAKIucKJ7GvVfez0vPbMGzuAiOMj72evxdn6N9MxSNw8lGHr1vHNG2to76sCMHX+KQbnP8tMARMRQFQSD6gguofUPX+Sjs60I6eTCENQwzBqAW18DSfGr7fErULW3Gh4qGGGmQqqpMHn022+YGiOklY7E5cYf1HDWp9lTWencwYc4EpHQzOQ0jCPlm8dQvNTwWlcnwvXPw2234DUaCI1IY9fzfjr6wx4Q5y4l/T1uMS8O8w/g2dU6OuDYhwJTrDAzwNFOaYia3vDfR1YNRaivRQiEO7cknLbGBj9NuYXfSLgpit7KlqJRxjpd5o3IeaaaZ3EQNK5J9jKzYBnQ9Sxda0rYfBf+q7/AsWYDS2Ixnx0Eki0i4WX/+Bvwf9s46TI4qbfu/qmrvHnfJSJJJZuLuCRFCAgGCu8Pii7OwwC7uvost7k4IxEM8IS4Tz1jG3Wfau+T7o3p6ZshM2H2/VxY293Ul3V3n1KlTMnWe85znue/SIt6LaccoaGxcvQyjrAJzQvt+8cEBxr3Y3fiQgrm2stqza071yHyy7yOwg9rmC23/ZfCu1ymiaQFa6ptQAjLzbk6n7FADe1YW4WzYxOKXCkN16yLs1O3/GXpP/vqvIfg85hbnEfWPNxh16x3/bU3XFOYjB/ykDhr665V/I/gvGR+33HIL8+bN4+STTz7G+HC73VxyySW8/vrrJCYm/mpbPp8Pn6/zoWpra/uvdOkE/s1hTEgg5fnnSAGUtja8R/KQa6pRWloIVFXT+uOPRDQ10VX+7MvkPQzx6DPZjHcXoyIipSYjFut5/LU7tqPROeiV/7yOAXXvsN0+DfPEmzjNF0c/rxF5XSEqemDeiLgwTh+SiNUkYVUh0cNxDY8l63dx95JSvKIFAb9O3S34GNo/jlHXPMi7f3uOhtYI+si3Muzhm1i5cQ59KsoA+DlmCOOC7WQiszY6EafHjcNqC+rByPi7GB8uX3no+77WDwCdQjtpbS7LjnjYdIs+Y02qyWPQ9/MolPpys3ofbkHPhrnupam0VzQS2LyG+PNeC7XVyK5fHQA1TTumjs0extUX/Rkugv2Dcrj8HglFElAlKwsM3/HT52sZIc1iYON43liSx6UzM4mw6kZEmsVEWS9iax1DWrzJgAbdDA8At2QF6fizRgHItHbO3OP+eCvR11zN3LfHk9yvHyOiHQj1GtmPfwPAoSHZOlFWt3PuVFP94NGVeGtNCEgMHJMGgCegexUGRedgjvVR7aymsKGQ8LhaPr14HuMeXcKSsBzGs4X4LxeQmtXdAOvW2a4nDnhbnZT/nEvaxBGYoxyowXWxpm/zcefWg6wiWA3EXJaN5lMxJtnwLPqB6c1jqQiDMy98hRzzseRppsdysMqxvHnSTDTxZEzu3fxc92ci3RLRkoezoh+mzDeCkf1tkDG+9wusqXgaSjnyxmVYrMFYKEHA88z6btW6mr2iUWP49o8QBIGRnp3E+o6y4vRV+NsTyKvJ5tlbnz/mMFKHDkwvmUDeFif77HockvsfRdjO1oesqg/W0vfOTin58txKfC2Lee/WnloRyZ5yCf3HDCehXzKCswlVlvUgUllBVVVQ9OBSVekMLlUVXWsJVdXLVA0tuE1TFJ1LSFGDas/6NdM0DVGSSJ9zbHzM/w/2rV6O2W4nLj3jv7Xd/0v8y8bHl19+ye7du9mxY0eP5XfeeSeTJk1i/vz5/1R7Tz/9NI8G11xP4D8DUng49nHdBeri774L986dKG3t/PDNGlYlLmJ3oo1FpLGnuAx5xkQMOWPop2mo83LgvQ8JPPs8jL6U/c5JDHVsZlj9MyCAacafeHUtqNmQHwYFSnuITyKsvI26En3KYzZGU+L1s/T971E0UDQoObAPT0w0YX2zUDRYdKgRrxjJFRky15yuU4vLboH6hVvZaHqeBtnK6CSJgTP09Lfb//hnJuzbzt6UH4kPLML/3SEQoLLBx9DmgVxQUcjclATq2ttIC0hUF2+ncpeulKuh0o+piIEKBE3G5D7I+/Yw4sQreHv2qZyHrjcjOvUX9kXtd9MghgEBbvxkJ3azAYfFSFjSaCJ21xJubeo2sJfXlOg073QsNwQ9BwgYVBWzz01j/eGQe6KD9tyv+Ln5HoEIWQWPgW/P+pz9R4/wQe77HIj7mqKIpcz94Q9MaTiP/jFnMCRlNKqcgAEb9cUteCxiaFbo01RQNVqKWzE6FVrMcLiyBU2RCaguDGYzZrcbS30Z/r3ruqR7/GIJQFVwupzsKKsMbdPQePLc5QB8V7iajEovpTtbqGyrp82aiDHfg3P9DpAkQKDEEUGaUkvDgXXYGysJd2hMPicLq72N5r3b8DTV0q9uA4cPePjDhEkUVeXzXtNBpgmJ1H+9kS9mZbBjaTFieCrC5j20ldd1UZ/pNObKyo+wcoqdMQWbSCz1k6baeP/TjyiV44n4cgFX/+EuhMIWBMC9U186EowiYTNSUZp8IIKvrB3BYuKO6suQG9toEd/EMqZDSr2Tnt5rTKXeuActOKgLxlQet6QxpiKZ4a5FEAdp5lyKTbMZNvt2WlpaEEURSdKXHTr++TQjmhogqW5TJ6GbqlERZPv1Wq0IQVkBQVMxaDK2eB8xpQtD98OrGZiyrZwawU3D2AcwGY+NVTAEU6EVtWfjw5rQZTqSaiZ25ChKVy1BbHV0qxebUUZjMYw7+1ZE0YAgSUiSEUGSSOyXTNqgLoZhfG8kAP+eUFWFol3bSOw/8FdTx39L+JeE5crLyxkzZgw//fRTKNZj+vTpjBgxgldeeYUff/yRu+++mz179uBw6A+HIAjHDTjtyfPRp0+fE8Jy/+HwK35Gf6oHYn5XVg3fRqP4jv3DWz+wDx6LgTtzfg5te9x6B+81j0MD8h6bg8Wk29h/fXMlb2fHH9OGeVWVTqXdCxyqm52Pz8di1gfyN8+aQyA8iqa+2UxN8jHrhs64ksS1uaB6iavQAxIlRSDOl8DE2om6pscvMNu0nvG+Dv9vV/USMAp+Fpoy+EuKSvvhp0mw1WFJkaiIyUTc2kzgn5w7nJn8HWsjep4sdMUfWlq5rbm11/KipXH423rmSWkIg5tv7eyPO+w0XFEX91i3X5Wb+VtrMahGSuLDWDjBxozNixh2ZDcA5/XZT7qj5Vf7u7V+KMvjTu613OTzcfb3C3l55AWsTB/XY51rpaX8xfhpj2UBj0jhD717b+1znkW0/nMDWUAI8GTEndz9oZ9AtMa6sOEsHXw1Z7j1Z2p2mAGbdHz3lM9RQXO/5bQmbOq1zopWA8vaTASM6ahSFBZfCT8cfhSjZkSkhWTLZQCUkcT7HJ8ky263c++99x6zXdM62WVffvxRVE3j7r8+0mMbO3Yf5vyvjwY5RLTQEx76NDZi6f8iGgYERMwqiJ0mMgLgEvUlvK/zHyFctaFpDkShljj7dQA8EhmFsr8fcS0WTKLuQQoJCXbtjNDluF2WIoUgzV3XJcFu34O/BaG37/q+HfQkoiAwes5css75Y6/X9l9B7dFCPv3zHVz48DOkDhry6zv8H+J/TFhu165d1NXVMWpUZwS7oihs2LCB1157jZtuuomioiKdnKkLzj33XKZOncq6deuOadNsNmM29x74dAL/mTBJJtbPXc7nzz7Cd5X1nDw+BsfwEfhqavAvW44qSuSnxOMKTuz/WH4ZEclhZPctJL61jbFeA9dPiQ0ZHgDTq1tJ29nGVf84i4e+W8aH8Xrmy30zVZTVO6kwGhDRSPR7uf7Rx5BEAUnUeSO6BiaKkoSj3UkTsKME8u+9lzSHg8QRYWS0L8elVAMwonEo/doGhPbzODw8c/czqKpKWVEVH33+HtLElzH8IrOmA6veX0XldhFSbics58/c2dDEReVO2qrsDOUdBCAl0kq7N8C+R+Yw7MNRKLIZVbGDYueFKW/S4gnQZ7HA7JaJhM1JCwqrBflEOr5pGqYN1zHML7F/9kN6WcecRFNRVZX8lnyGfb0NMiNpuvICfQkjOLtW2gykmPqQWns/FXH6dbK2L8XiLiK1ZTbJtRXYPU7Mko2kiQU4Iwr5ZIzusM+uGcPt7zcBCvb4/qSedzbr/v4ofUxeJl0RZJXtlKSlY/ioeOIpSpOSmXhLzwZO2eIf6PCJnDQrg8sHRGGQwtAUVU//VVWuWVFOiz2T2rlf0FLtx+EIw9KhRiuA1t4MP9zfrV3NYsF27pV4PvsH0pRwDDkZSG1tWEQDnap1HY4aDQGBw0cLSDoYyVmr9dm9sUlgdtM+do9aBu75DJlnw1doxFbrJva6oUFeCQ1NJfS9dWkxzphcWuO2YPX0IyVmOpHRacFjaWiqSnveAUrXLQWzRlv/U4hNXMUytwtjkIxMEDrjcJqMKUwaOwlV1ZcKfvm5Z88ePJ7e4na6j8ya2rvhnmY1MM1YhF+Tupge+pWJS45HFaIpqZmJOCCWnFYj6XU+EDQCJhFbWphu6NTtIKqtleQ+TYjWAIpai2I+jCviTAKeVta2FaKMbGBQSTi3pIwJPrvBZ7jbd0IikNC9jtaxbNJ587rV1VT9uxqqr++jqsHfaKiqfi+OlrdSvGvzf5vxUXZwHwaTmcSsnnWBfqv4l4yPWbNmsX9/9yidq6++muzsbO677z5iY2O54YYbupUPHTqUl19+mTPOOOP/v7cn8B+F6IQUrn/yVTZ/8A6Ov70FGzZjplPubWxbO8tnTEVtqiLDWUpSVDv2A+lkDV1DyuT9KM0zcbX3Q20NULM9D2ezD0GzYTAYePqC08lc/AUVlm3Mtp/GZ0aNEQEPZSYJMdyK1dS7e1MQBBL6pDJ5wgSO7N1Lk9PFDk3jjt0v4MmMC02vcmP2I2gGEjwJ2GU7VqeV+pZ64qPisVh1emRF6T0HVgwuVWw/bQsNL+7mT+JWLjI9yXuma5nma+Wlm2Zx9qcHQ47+8cmj2Vq9FdHoZEDUAOYN05VBflpdiUMOZ/r43vUg/Gv7ozlSGDr52JkuwAgg76Fs4sYNIueiO3usc9b9K/BvX0vxxddjslvwufykLlpE/JmXMSkpnbx16zGH76JZFvgOPV7BFbsLSGPY+LMZc86pRGUk89Gb4TSZE7HM7Z3S3nnvK/SfOoDRg3p+Ia9da6e6vZ26yAQuvvIyxB6YbbPX7cZgcZAw6jQSemhDba6n/hfbrFlZRI0ajecziEyPxT6kTw97doehUI9Rqr7oIjbv/Jw2Gzit4IxwQTPI8RrmZitqjQtL/8ge27CPiKdtzWokv4NJ81aGtiuyj6ovX6D1s2+Qin1MBIbaBcY+dxtwG8s/6JwoNsmxKNpilkk7qKQN2649uH0ejEYjDz74YLfj7dmzR4+F+BWIgoisKShyADGYGdIVgipwt9yfg+YKmtR2JgQGcNhQQYXYRGx1gPE3nMeCd3czsu/ZzMnIYt+P+SQfbGFPppUzztGDg30rv8K8+XrUa95FjEvu1v63P92Ny1nENclDedeay+jLX/hVPZ//aXxxw2ko8q/ktv8LKD+wl5TsQRh6Y2f+jeJfMj7CwsIYMqS728dutxMTExPa3lOQaVpaGpmZmcdsP4ET+DWYrDam33w7dZYwGp97HsFqJfmbr6hv8OO/6jzG5R5AFkXqYmOo+tlGwi0/4wSsOCHmPTZv/QhvQTZNhSfjDAwmTNCHE0EQuOGMS/C3zuPpF18EUSQtM5PyyjKddvM4EAUBVZYZOHcu0SdN4aNLbuXSdg3nmK9YcgR8gpezsnX11j2xe8iIOoPxfgPyAZm//e1vpMSnYAqm4alK7y94QQrm2JgEzDPCqF8ZzjmmN1lw3yWdfeFgaLb9zinvsKFiA33C+pAZ0eXvLRjw0t7YQF1JEenDRv2XXmRqQKCtsoEdHz+G6PEx/eqHMJk6gx6z+k0laeEqwh+bR0p2Pypqm/jqy+XYzHb6zZxIv5kT2by8lUDgOx5NdrOp3Ui/2niyT72Oky47HYMhmC0kCD1mWvwSx6MrL9h1CFKi4Q+39Gh4AOB3QWNF7wcI+tGj543HeTQWU/9TQZBoW6/gOO1l8r7OJ35BM040PH0cZJ2fjSO+U2lU8QfY/8xC4tyJtPkb0bYPoSXxQg4mbiLGlcz0Ij1OaMaY8RTm5/1qUky7loti6lwW87fVkX/zmUg7W9EG2Qh/4Wb2Ll6J9Uhn4LKk6Ub0miH7OWnoKfBFNWHR0fSJjKC8XK8XCARYtGhRtwliZHMzsfUN7BsyFE0UUUURTRTRBAFVFNnbP5uHrr8LJp2BKeDntVU7f9Hb4NkYTLwQHUm/fglM264H8CYGIkO1Dr29EtHnpabFyZLm3Qybn0lJgwelyzJoy+rNNP2QjGn5yUh2A4IkEHvjjTqh4ctL+KiPG3noCvoYDPozoQnsKW/BYpDYWdpEQNG4dsr/3vgjieJxJxX/ChRZpuLIIcaf1bso5G8VJxhOT+A3gfhrrsE+eAhlV16Jc+0CEqbMpOrWa4l+7T1cdhsGBLJc8Pbqe9impPGAfy3jji7CVCggyPn4YktI/NvXOFsNVGzbhub3U/XRR/hKy9AmT6Kv2cyk665l82OPBBcjjoXS3k7rokW0ihDu01+ke/K2ktlYixDeKWon0jnYZbpP5QytL0ejitictJmxDWOpDfJRACjHMT50zhEFRVGInzOSmK2HOOg24/b6sVmC600C3fo7LXXaMe10lL5981WhbdHJqVz2zCsYzR0CVccOfXJFOc3vr0f26vFb1sl34dv3FembvgBgrdXCnCv+gqvdzZJ7nyDiiE4dXrR5DynZ/QgEz03qMhOdNPdp4GnqKvZwemx/TJZjNXNE/gnjQxDgONcuPtpBDRCV0btnQl8UOc5xRBHLuJvwawMwD7Sj+SsxpVvxt4HgiiZOs1FqhPSAgKPcRctLu2gBKhLqGXH1bIo/+5lYtz4ZW175HpGnXsr0pLFcnnQGsf5k6jLbiUmx6x6uf2Ky7qKT+8RZsIeSm69CqPMT+dwfSTpT10vZs3x1V3FmVpy9HOezhxiQPJC21jaigObWFhrc7d2MvF27dlFQUBAKPG0LDyesrR3l/PPQZBlkGRQFQVGRFJkBQX4aixzgfNWFzWLSs0DUjiUJ/d/7koXyKDh9eCaN2w/SmmjFUOumRdOwxyhsyl3Bx30ug2WN5Az7ExUBkZe0tzF3GZpUs34NjYlxyE1N+CoDlD2gq2EnIUCdncED2hnj9YEgcNVlegZmgzWCvq1VrOkz+n/X+JCE404q/hXUHi0IUqoP/29p798J/9/GR09xHF3xL8SznsAJHBf28eOwz59N64sf0vrih4A+sC4OztgEVWWPJwkkeMo0gxcVB4Pkr3CbzLRZEil7/mmy9u/Fq/j4Ys58Vs08C9kYydWr/XgEL00PDSNgPINqoZqhHw3lZFd//pAwAv/QU0AQaF2yhB3bNtFqN2H2+dk+byIZjY1IiormKsDbtIVdibFsGzcDu+xgqH0YgrOdvwmvQgsIZoEbzvoj9Q11rFyrM0d6Kqtp2NWFUEvrXIcOlNUSJltoPFiCN8LGDTmJPL7bz3sfbeSUiUPwqAoeRSWgamwubCDSbiTGbibGZsJg6DKaCQKCBma7HZ9Ll71vqqrA094WMj72KkmE+Y1k68xbKA0N1L+5G1WNw55ej4CGomazddJwkgZOJ+bvX5PyzDesXLqOPrlVDAVKEzPIn3AKA4YmsG/dtzQ065znBuHYF3F8au+MrPqgePyXtyYIOoNoL7DEx6G6ndQdzINZE3quZLLrNNy9QDSZMCbmIBobkWLdRF00G1NSDBvXHCVzZSXb400MP7UfKTmxFBxtwvbOIQBSa+NoeCaXsCBd/+GkCrRijX7tAjgrGTlxCpbwMLLGdF/s+TVSxgTtQmrlb6le+g+aHnwVwgWSPnqV6BGnhOpUtVfSR+kM4O9YOhFEgaioKMBFeHgYYpgVVVVxu920t7cjSRJ+v78z9kMUIT2dkQ8/3Gt/4r5bzWy/k+cv7jmz0a+qvL9+H7HZiRjsurGcmhNLxB0ZoTqvX/196PsYu0xFi4nqQAGjWvpyuKCBnKxYjJl6Vk/i619hSknEn78PzdUCqkr9fVfhaTJiHH4R5OrCifft6i6geEHBWuB/z3MgSdJxJxX/CsoO7MNktZLQ9/dBqd4V/1K2y/8G/pVo2RP4z4OiBNjy9ThUZzsmMZrUhIt4d2cbsXX1zFqjM3zeNONuSiKS+OvWD5hY011PwjzmOj5IaeKduZ0voz9/04RBBU/6s+RazeyPKEUVj//yGFYRx2eBXcds38A41jCZn5LW0WbpLoyW0J7B2QfuREOjKW47quRj+O6jZOf3nIkihqdgn9n7yx9gKm29zt0F9CUi1yn6OvlAj4bZ085t+55mqFxNckglV+NJpdPlfpP5HQKtuuZHq0WjMZiu27cpwAGPQpGv89oIciM5R57CZfDz94sGs+iaT9GeTMYsBGgPmHi7UOeSSIpQQdNQVQ2PYscrxHZmFHTXNMPbXklcm4dBLUZEQSAgBGgwVGEUjDjkSCyqDXNzKflDhlE1bHyXBkDQICArNAu64VNUZCQvc3CwuEvIowCX1+ppnPG2SjSt+8DfQQI+2awHdVba6kM5GFLAQHwgkqNnJaNV57Lzyw9C+7n7T+DCEVOw7ZJoiWgi9eKxbPriR/JyF3drXzRE6kcIBtGmmdMYFzcHl/pLnqMOdloNV+Y6mgcsJPkW3bPmt5qQpc4AWQBbu4uSeHj+kggEBOLkOF6o0ON4Wo0eIgJWfjDtoCSsWpcD6HraQkd6NRibReIMMn98qHcl4tdvXENAAleWozP9QwxS1YkCqgCHvT5myjDRLxHe7sdvEvFbDGjBm19QvoUDkzcyIKqI5xoCOIVo4q138elOndOmKcqHVHwIcd2bFI+bhM9uQxPEED17vz0bMbU6ib5EIz5Qi09JpD5XpL1ToojkU8FiD4ZX9/TH0tMQGAwYRlAxSC5Uxdy14JjPrinWy+vSOOqMxqIZflGXTk2pYw/WY9+8AiT2SeeCF1/vacd/O/yPZbucwAn8X0OSjEy8YCsVFR9ytPjvtCfUc92Ii2g/uTNt8M21L7Jw5BWMrjuWolvwV5MakUhM8yr8Sj5Dyh2sHFBJWeQhIp0mWh3+Ht9Pd6f+gcSwZJqcjbxY+hpJsS3UjPwwVK5pGknLrmagHEHy6efj+GIItnQf/U5KQQ7IJGhJmAUL6ig9e8TdFMaOlTXEDUrBdtVVet+6DQQiSu5R+IVqvGIRaJmThsFgoGZlMVpQUO3B07Jp9ci0+2Sc3gAun4zLr+DxK3QkZmbXFjNg+fvkIdFqCefSzL2hds9mOUuYSbis0hZrwewuQgz0Y2u0kWS7/uItqfZS5pBJniOgonLoYAnRRf04NORFANJqV/P0um95WAiwdcCfSJt8HoY/30N8lImocCOCAHJTDWFigKbw4R2JCLqLHkAT0FQNQ4uCQ/XTbLVgNgvsC9+KLAIESAhYGGDOpjUiFi11CAmRcd1e2p56D6URdgqiB5JYsAs1uy8D7MHgYe0XQ0Zw9Ss2Vs+86WqYAPgVAZxQbKzDmxCg2ttOu7cazQwuyc2yvaPp7wmQ03F9r7qL0+bO0A2K86FDn3ngAB95uZ19dEQk4mztzl5apXg52BxGclZ2iGlWCy4MdTxf7WUJuD05yDHloJoI9O8fyuDowOHqQvb2hYHmTDRAlf200ko7HgwOB1XtlZRYKmnDSZwlrst16Zqpo1FnqaexvYJFt9+NFPREtbibiDIaMIgikiAxP/ISnIpGTYkbFciTBJpsUijrR9Q0JjXJxEVIiJKCTwCPCppbV5gWNOgbMQrT0dH8I8tMVIyRaED1BViaJBPlV+nvkXFGJqKmD0dpa8XS0qQP4EHvYEtYJFEDJeqMGi5JIrYOIgcIRA7ociMFQZdH6i3vNlS1h1xbDTTMqJoZTTOFyjrvjBDKwuowqAZFGDCKVhTCuvThF+0ec/xjrEA0VcWXl8eQCdP5PeKE8XECvzlIkpn09BtQVD8lJW/g9aXjuUom6sPOx3nJlM/o06YyughqwyOR7UOQ0+IYkxLDaykfIrbDdGkU/foko+BgKjmIDpFPXN/gUKz8dMkqFm9+gj7hGWSmTCA5qTNrYMlH72BzhJE47uxu/fIufpkIoZb4cTmEf1TLUFssE0f3TBLeXlFP7lInkdlW0s+Z2WOd6gIN5RfGh+TTGOg5QNu6RiL8GczDyAabxh+m9ev1ek1YlkuTqnDz8DRW6Rxc1HjD2ZJ+JoIooQoidc5mWoUUIvbmcCTPy71Xp9NiDcOgyRyZkoXD5ODlWxPnwQYAAQAASURBVFYRLriI360P1ia/iaLwZiRnOKIqMaJ6FisPfMCIjD684PqZ5PQHuf3zRd36UvnSlVjbDxH98F977e/h7Bzc1jjyRl5PszGR/X0i2NxHp50/xTSOiy9+nP33bSQu0UbWH7uL8t3xXS5fRgd/ZKZS00saM8Ab9yzFGiEy44Ge5dDb3U4+vms7sfPsXHjGXMYsfR5f/TcgRqD6LDgrxlLiddDcJ5XRtfWIG1ewdvFXGGJj0dQAgrcWc6KD+ko96Tc5XKaqzRAyPEyiBXOkAw3wutrZ37qFJvNgBuUk0ehppEA8SGxYJOdOuxqAbx5/iLLtcMbPub2e0/67biK6vo5Hr9bjcooLC1jw4J1knXoWZ16le/vu+kgXnBsd6MdZfedz1syrj2lnyptT6e+SkfLz0TSNepNGo1WgQQMjuq7xwL7gkASSjQasikpKVhQDr+tO//36jWuwZMWQfV3P/BStZW2sf2onz45NZcDcDAD2PrESTYIRf9aXkx5a9xPTk5vxR2URbrHicpv5OfliNEFnzhEEOOJsY2O4mbLJgzGZ/m+zQsKA3v8a/3m49+yh9OJLSJs959cr/wZxwvg4gd8sUlMuYd++j9G056lOTmQ0TaGyVoeAffY8nEOnUFr1Ck7bxURJNXxvrg7VKfGUUeor7xawGatFMsE3AoclnItmPtfjcVVNRRSOTcUVTroZ86Yb8b16Kap2LdJxSKO0gAyAZOg9pdcYJaM0Goi6qC/2ESlU3L8RNHDvb8Tvz6AucR95roFYlONLEnS4eoePGsOQz39g8WZdfXXi1M7U2zkbFiLWC/SJK8Zw2hb+lnUyToOZO0ok5m9dx3fjZxLRVoLfnMSBNv21oWHBKILfGMAUlKPv1zCCozG53GkqJ/r9IdyUPAOju40RjSb6VX5NClDtjWP5W1/q5EyigKfdReWRfXhaC+gzZA5DAZunngvfvIAtz3xHXXMOxuQ1BCQfWVH62rcEaL8QAfTICuscGtlegRyrl+81C7+K4yw6GyT9PDuov8eE29jUYOHA5bov6e1P1vE37R5+7vMuB1qbsH72AoIGQm05oCFoYKisRRAF4iMMnPP8J3z+4juU4iE8YOJsbTqaRaPPI9P44J1/UJ3XQF7jTvI2qSSbDJS5bLw24CXGZo4irc9wNE391YyYpqDg4j9uuhPRYApNqAuWLeTA4MkMGZsTqlugVvBU0ausrFhFuCmch858BodNX4ryxiZSmZbCrD89wXc/LaZx33I43ECfyRlMOONykvuOJ+9PSwgkKAy5+0wq7t+IvbCFQ6/uZtDt3ZWMleMQ+FX49Wyjew/ez/l/38f3k0T+5H0Us70zEPmawrfp27QVmraGtr0XNp4KS2qIsUY1GBjdJCMGZPg/Nj7+u+DeuRPRZsOSk/PrlX+DOGF8nMBvFiZTDOPHLWTx4k/Z0yaz9PbN7Lfpuip/iPXiSFnIkca+SAkxnDnrAMtyk6lyu1g9dDX+r/NQgPRfSJivffFLBO34r3hV00KaIN36M+sivE1VGA+9gcZVGH2HgZ6FoJSAPqCJkkjpFVfi3r4dgL6LfsScFQyClPQ65oyOtVN9/d9dnYHBUM2oO25h+PN/54j7V2KjupyOJEnMn3os34eAQGSSwq3nXgt08mtEGbdxTUE01+5czhM7XsSdlEjWO0/jqSmm6brH2DJY4pbvDiCrMl7Zy9v7ciEYZtMkCTxZuw6ACYqHd4CDLfHsb0mksrhnVtGG8kJcacPAZEEym5jy8MUkLPiZ+JW6IXjGlXr8ioSGZug8sf2tLmbvLgCTwNSAkQSTAt5/Il33OGXGoPGhqB2smUK3PVqWvoT7Ql2YrTUimouHT6b5U/28ok6bTPPSnxmwZilSsp5p8d4dq6i2mcDkx2MCfLDEtI4bmcZhs52Y6p8gawhea4Cnmsfz4LgXmVbrwb1+N1w2PBiEe/xn0xoxEE9rHppmIOALoKkyCBKCYGftO0Xkbijngpq5CKqf8++4jrsX3cpWYT8BTWPf+/MYFTMcSZCQ5QZ8hiieWLKaQPxGpgzZTt7hvhRvLkGV3+K8u8frRrsKO3edj+i4hning/BqF5qmIQdUvnpCf6abC4o4+FnPKsUNrgDmSD+3jdwBI+Gvzxj4+tR1zDLP6LwPmXOgYiXuG3dhKMrH9NPFfDW8P4Z+OZTdN4yfGs9lssGJI/JMhN+Rk8C9YwfWUaMQDL/PYfr3eVYn8B+DpKQUrr7mHlrfuJv0ytOZ1rqOtH3FxA3wkxjmpDp8G0X2ISTHzSY2pYTqAqhfXUYEuhHxX4GqyYg97CoIApYL7kZTbkO9ZSOtcu/iaFqQB0CQxJDhAdDw9jukPB/0uAT7t/jzr7A6fQxmGJJQjaqFY7D7+KQwn6+sQzD69ewGn1+mrd1Fa1s77U4XznYXTpcLsc1NW3wCi3f/pB9T72znd6AtYMSuNLL60C8UWYFLxDoWVc1gX584sqvqqDy9002/b5TCV3ufQxJEDKKBCTFpXHLeT5zzwzm0+9u5PvoCPqr7hoJAGJtyHkYQBPoAfYJBlJomcNRrZNf6n9FUP/j9ZLncxHg9NH2hL7XECDDOlMd2/zAqt1fhcVqxCwK+mlYqVuxBNEp4fBpYwK5onNHfwdsl7YxsP0r15vwujJYdF1//Hq0V0ehJ467XVjE0KRmrRyPdYUYyiIiSgBhMEZbloKEoiAiajydvvIMvTjmD2LlXkFHTToNSz30pMcTf9yd8eXm4d+ygbWMuXS+w2tJAfP5qBrTkI0aVgWbjUNhSBvXTibT8sgxqADV7CF/m6twpXxw4h3kHl7PXuILsy67WmUR7sD1UVeXToiPEmCJAOhVL1DxufKv7Up7P42fxh1up3usnQpxBQfwW5rxexsO7BUSTyNunQZ25nZXOzWio2AgjpcnMqkQjt7XuRfZKegyJxYZk0de1NEEDVaO1dTdM2k1r7tVk1Z2Es9yJZjfSWqczpDY7HazbeGy/O65P9vmdxJQN98vs27GG7WFHkPc5OGXYKaG4Jpa9i9ZSEbyFKoU7t/FDSRqwg8MzPYwqnxX6u/qtQ1MUPLt2E/OHP/xfd+V/DCeyXU7gd4FHHnkEAHNTK+eZT+ewt51Phz5IQuNMYnx65LxRBk2SmDV4J7KlETQJQRCxNGURVTEbUTWRqV4BQJVJd9kLwUUZoet7X5XZbjEz02kPRrlroU+Cs8EP6vUMCANtYPnliKGhyQKKHMbI3FcQ5aJQAJ0gdmYgJIy+GUNkp+fELwQwa14EQUXTYGmShbbNrwAgCxIGrecXb8WMUXwx8JxfvYaXNC1gXtRnPZat2ziFyEONFKeYGJRWzTk51/OC+wtWtFUfU3ftuUv4ZMOHvF/3TehcwprimLinb6hOR3aAR7KyJKG7Aujdu77g5PLumUSyZGH3yDtxOvQwzvmR3V3rLgmmz3KEgv5GtR1k6Z6bj3u+n3A2RWTo+6tmMup6Vnk1jXDyhxvPZMbCq2ho3YUn7Ewy6vIZ1TiESK+ZS5QxRE2NJnzuSARB4MiIkWhePVhnwKoFOBd/Qe1bX6P4BJwJWUjhXgStHqFawewM0D5hDCp9SU08md1DI/juUC5lbW1Mat5KdKCF/umjsIfHsC3/ELm2PiRmDUAUQERDFGCjczvtsfmovjhuO6Jrt8TkgCB26o7oS1zgaVVoKYZKaz1fmMNYtvCe0Hnm3/AcslBPQdN+vGLEsRdCVUEUibOYuOX+Byi+/yskkx9f5lrkQBOKK5PI2nMIoOEa5WH9Gv0eDUirY/YDx+rIaKpK5b6XWHz4dUZbFTwWCdkr8UxVHNV2JwAXRl9EdqmHcxteCz0zqmahbdhiWhSV7757HIChV+cRXzafla6xVGk2JhsNLOkTQbLRz5DifKaVH0UkGFiral0EWvR/esyo0HHROo1zgdA2QQzS+wcze4SOur/Y3tmm8Is26bJdDP4OCgCKYmebooDc2ETT+++T/tmn2EZ3j2v6d8a/Mn6fMD5O4HeB+vp6Xn/9deau3MjyU/SllP1R+8mPzOfPBbeyxeFE1QRMYQm0DirkTHUx/TgJt1KE07Afa0t/kv1XkZGnz8J29Jv8iwj4znzQsQUbqJbiUOPmowkCAmLwUwhFwlevLqCpNRlVETBcFeSZ6KL7UdlUQeSKEqrsG0gfOFLnVkANJi+oaGgkyV4yxEuwSyu4M3kfhUYTi8TuA+oH6xYj+9twTD8Ps8UKhYUo27dhDgRIvvhCEqZNxfrVJUiSk8g7NoSyGjriXDp0OQo/PAWDUaPPFQu7tR/x6kh2KPez3zEBmnaxMn49mc4swu3NpDhi0fCCqCEIKnUBFzu8rbx6+WOkhOWwdOMXPHz0eTz+Pvhq5qP6Unq9f6+cHMvgrFQ0GR745ADJXifPXjO2SyaHhiqr+E0RIEl8/tANDB4xgyFnzyW/YA95udtoCARocLYiBlROM+5lqr2Qpv5jUNNPxpB6WnDw6LynH370Ec1qpzpqXM00MkZKjJ07EkXWUGWFhS/nYprWzB8uOZfVVQe546fOQfSCqlNQfGHEqxGc6h+JQW4i8ox+VN59HZpTHzwdfY04jwYIGxxN/OMvYRrUaeDUrF1D9b33IigKkcOvx5A4lDq7SJOrjILKZYi/yMt8L3YOdaYoIlS3/pwIAioCLqEztuVGtRybK61zWVDrPN+O75oGtRFHEIu2kt1cw8iKagRJpXruGcSN/ZKGaCPrNl/Z7dhRooASCNAmGbDLXqaNHkW/HaV41Z45VFa2BvAEu39Sv7UMuffxY+o0lnzN/oL7OennRgRAQeCvsVH8GOY4pq6oaXxY+ChxchQ6I5tEiU3gveHF5LAXozecw4WTWNneyXHiPTkZgnFXd3/yD07fvK7Hvv7bQhAYuDcX0dS7B/XfDSdSbU/gPw5xcXH0H5TNhtIV2DwB3FYjlzcZ+dxm4K6ZY0EQGVdVSqXdQaUwmLGOBM6acCMAm7fMxCMUUCI9ib3BhMkQzdjLl/Z6rIYHh9HgHcrQv7zYa52CT68gKj6PvnfdSOzEs44pz61ax+URH/HQyGs4fdidPbZx9PNzScrXlTtfj/4LhvHzkVIyEbqI5WWVlFNdkc+1N10FQN7oMahBIrEYVzPxOf2oNBsx+lQiwmJ67W+Y6sQnhBMXltlte/llC/l8YzklVgcv1w+nJkgcZtUUPF4JVXGgqqCqAqoviuH+DHIX5mKdF8sZMy5HsBh4NPclpMzXiHBP4eXJdyAIQUEu9LTOMIeVwVnpoWOK6iGaJTtOszloLOnEa20tzdTXl+Npc+FVXOzatZhdu7rwZwga4SYNLcLMyKRi8EB04U4o3AkP3x+azfoaK/E2VXczPDoQ3bCd+PSTQr9l0Y8UjPmYlTyYrZfs5KfDq/jLnvuZcc7Z2HdXsuRIHj8Z95IjpiCuKELpNxGq9hDT0Ii/SSbppjOJ+OPTx2iOJM6YSeJO3cNT/dTHKG2QZKomxWFh9JjriDqvO1vt6w8tB1lh73PdCbM2lxzhza0bcRiiaCw10OjJ4/mHen6mAO577g3QDChKAh5TI7lZU8hKO8jwms8wb5BxDM4gI2MXJSWdM+5mVYNgDIy/tZVNX36MZ/BeVOPb9J33An0SO1WDNVSuNIoosoby9/EYwlIoWX2EBu9BvJIPgy8Ra80U4qMcmOx6EG27OJIDUVE80LSZTbEzafJtR0Pg5Zkf4N1fyAP1T2A+LZ2ErEH6QVSN9wurWOZ3sIyhOExu0tNrOLsoj2/DxqHGW7BursIzJZmzcjfiSksg5t4FxOfkdArOdRGJ0x9iTY+r6SCvCxKuoWq6GGGwnqaqISE6Qvuq3drrtl+wTDf0u7ZH5/FC5Xq7dS+8iGAw/KYMj38VJ4yPE/jd4Nwz5zPB/TRhyhq+LHgOmEV7YzE7E/bis8QTFh/DOEnje8AU1ckYmD3wSfbkXoaiuI8bgNgVx1PyBDg06HKGzXX2aHgAOIz6wBfdA714ByyeZgB8tgmYDz+JcORxNM2E3z4GJeU0LBfdohOEd3FeZi74jtZFi7HkZGOfEgws7VLu3bgOKT4B48DuEfS9nU2fjOn8XL6NZp/E+gQLtOrbW9UcLj7/fL5Zs52k2CjmTx1J/uZcFm5YysC8RHx5hVRQyAhS+Z6XAPgxah3rt27g3huu6/WcARoCraiCm9c/ePOYMkETMGMIEdhXxXjwmVRKE91MH3AKD56jz7C/3nAWSe69DK2KIrKsCG99Lpb4kaCqvHfbtXhkA+To8RZ5chwTWnQa9tyWYUzscjxVUNlYvpED32zAarBiMVgoCDJYKZrCyIsvJLBoI8t2raFK0u8XOdGQM4u5YeEMvvuu455rB7z7tiAlRqPVhYFoxF/pJ+q87nUuTI3mx9LGY/adlJHNpIxsAP7yt4/wejrvps8fYFdhFfXtPgKyjKqq1DsDGASNlQNORtJO5uaSN3EUqNjLIgE4OmIuP9V9QU6+iFVRkM02wiJlzrn3FQJ+PwY0VEVh7hbdCBJ3P8inQ2/H5kjk/Z0v8aPcwDDVCJrK0cxwbqSaNK2OGDGOKFM2zR43DVnfYt59B+nND4LxHhxZaaTmx2HX1nBG3So+Co/g2zMXkhmRwsYjuh5TYW41VQcl/HYDYckORlhN4HdxqyOcusIDRFcWomgi2uBI7vrqXXzWaOI/r8GZEgaCwPtffcS9Dz6OZDR249X4tQyi/21oioK/uJjoK6/4v+7K/yhOGB8n8LuBxWyhX3Q/NH8gtG1GSyb3hoURV3Y5++PfokmwggRVVV+y1/ctcbEzqazUOREEwYgoGo+v9wEYjCLRcfbj1hEElcLSTXi2KZwy/rweyvVXnnocI6YmdRTJ5bsQ7/wetakZ5dAW1PKDmItexlSwGX/ejOBSQmcbpvR04m69pVs7sYGjmHFT8fHP7D1STbwKox7JRLL8MhW159fwzxNH8EHJYZ5aV820nCwm2JKpyN3IW2++jhGFtjx44uefCLdGAhA4LZKS9cVYZTMRqgNLwES1uYFpbaOJbA6jaE8N/UYeK0DZAc0sYsfKRTPPCS6T6+vk1jAbienJ+I0y47/9kuGO4ZyTeAFRlmjGDZ6O3dLpydCMEcQ0+oksKwLAVbicn/7+JjHhEh7ZwIA0GweKDlIbls4Xrz+M2yvz2t92YS928+PSQs48TTdONVQETSS3fRcBAsiCjIxMmBZGeksRrFrHuGGnMHLuA8iyjKIo+Fra+Pu7b6NGR/d0ej3CMjCeD6tX0n77nZy+6TBpxWGU3bGwK9cVstneq+5QB8q8Juq80Ty3YAsbCho42qLi1n75mu9PjKAvC1019BPMVpFFgdM41fsz3wybxdX930YoHctn4zWuOGDCl9IXv7OVTat+YvLMmUTFxWOx2TH+LBIQVVRB4JIDf+t2hDRjOIJkZJ+/hgJHFJdOXYfBHKmfi6qxdk020nAfjuIwqAKn1h9blA+a4J6mFuyH3ueJqlfZm7KGVJse9xRT48EX5iWhSiVhXwuyQ2S2YTfTF3zGazdfSTQgCSoLVzqpLK3B7t7JoMg6klNbQv1qKbmcyKzB//R9+b+ALz8fta0N+7hxv175N4wTxscJ/G5Q3FpMQXMBr818jZRzp3DxW2dTYarF7LwQgH2nTqbZ3c4HW68im0M0NPhpaNAzQByOHIYPew9fwUyQA8c7zHGh+hWq/roZ/+AIfrBdwFmfV0MPcYxSiCfkWBp3VdUQxe6GgJSQgpRwHr4FNYARWYhHSkrVdVB+pU9mTffoLCrbzGepfSnMiSR++Sb2nH6SHhsgCLT722hUXPT1tyEJEqIghj5tkolb+4/gJa0AURS56ewZfGQyULxjNV6MzD/3QlZs2IK3Xh/o4/qkMeQvY7v1IRVo9wSoeXQzhbvLiRoQjSQKGESh26cgCPjkADaLSPa0ngna3F6d1yTSGMk5k3ueHcqqTN9SN+3xiRgv/JbyTXvJz/8ZAIdJZtS517DujW9x+VQQBGxWI7fdMYY37lhP4cFGCBofBgxMMU3h02tePfYgjwSDMje9hPHeIoz2WADsVitoGnLAf8wuPlXF/IvlF/czZxDt2sarF6+EulbWDEplQc1hRJPuvq/1ROBT7YD/V2Xu1zfp6+yHtzeRZPQzJdXC7KF9yIx1YDIZMEgGHvt4MaLi45RZVq5cu4wf+qaR6SjkNulZVEHkKk3AqNpRZSOWySfjK9mPYgvjQGk5Bz74CFFVuO2OO0jwhRNviOH+2Xfi87WCGgBFpk/iKGJi9HTxTZ8NwxI9LGR4AHr4lGxGdQSQZ09D+1AgLL/7EubsMA2KT+VAwjoq3PsB2DPUza3nT0RVVR5/diuxpV6ejhyBMjqWGw4fYb1VIE2Jxac4KYwNAAk0+1ycT0uo3bCoqONev38HuLdvRzCbsQzr+fn/veCE8XECvxssPqzTd76w9lW+FhbjM1poNTiZdPgAowP38PX1bxFTsonh9+cCEFk/ELejFrsrAanWRF7RzSS31xPX7sP1RFCs65dpmmhEUkxueQqPvfhzl616HYdf427gmUG6V2H6vgiaP5msr/EG4xcETcUju8Ao8ezuD3n10A9IgsS1R05nTOsgPKKPddE7aZcWMwrwPTEbvyBiVKowSw14nTHUVE6BWx/mcJxES0Y6rz75GLKioqgqsqqi6kk3aILAIPE0DjIQAi5KgrEVdRGxPPT0c5iVDkPrZnK8+3nn8ks6g1E7Ti5oBz1XpjBgQQX7HnuSkUBKfDxWjxv7119wDqCNvJDW9Bxw6QNkTVUbNSWthMdY6TswljCrkRcta7GXuzj1+ZMB2MlQftBmIwka++REcpVkVM1BZvhWVq2+H1UV6Rb0C8GwXDPrm9cz9uNjeVR8moYEPJOiZ8a8lr+cqaffyerPv2RIpoU5z3wLgPGNr9AQ6Hv/IkRgoF/iNM0CRS5eu3klaCBpJgRfL475SX+EzX+nbeIfqaxzIWs+VFXTeWA0jZa6Rg5v3oPgrCU6fynl7+1l4ZAZzLhsDmZRDC2XTfFuQLXDueXL+K7PqZh8XnxjbCEStp+/bQFayLOacVtNLN5XFTLYDIJAjK8Mh0FBEASmhNWy3xnGI5eOJyzMrsdb+ryY1QASIpIgomLFLqicGRlFm5BK5fLBmEUf/VPLKJw+itdKH6WouppLPI20tuSCALffdjtH9u5h1+7dNDhdvPLq3/AmGWhXZNKSxuh91QQ9HVkQCMgBPZm6B8s44GpBNbkwaBFYIuOo879EdWIV5r6R1OaWMdA9HItkJqFmI8mNCuUJAgPLNbJXvEn96fP5+s49xAI7+iyl2NFOS9YIwnyncGZFJXFyNLsC7tCx7rn0z9wRk0OMv5Wry6u5Mza553v5bwT37j1Yhw5FNJt/vfJvGCeMjxP4XUBRVA7vKIcIcPnd5GkH0dBIbu/H+OrTMWom6kULbZkRZKIzfDrFo+CGduEoHUEENqsBySPj9e/C5gNbR4HWqcXg8xtorwuwz9R+TD9EDQo1M1t++hopbAExfdqhATq1H/SMmERV5WSziT12kcZgdssRUzFjGIRVNTO6JYc3ozSOqkaSvcUIiBjM+ku1+kAmsq8STdNo7acHBfplGYMoYTKbMEgGjEYjJqMRk9lEQaWCRZCZMTQRYedKDkQnE6b6OX9oZGh0+HFvAyVyImnn9EVDn3Grqqpn4GgaqqbS75mvqM3ojzLl5JDuVkCADn7VuBo/fdUEIsy68XHotT0MUPVZ/hpFIRKRTEs8Xml/6Ho5BC9pQydSuX8zQ8MLmTE0iubWNvrZtiAIYDFfElqiCuW9aB6ujvkel9SH8PBj2R/fLVxPlNlGvU+/Xrfmf8x12//OyKgY9hSnkHfxWUiShVjZhWA2Mc5QhoqIJBrwRCbQNyECQZBAEMjPzyM+4SeWLX881AMBLUQbK05OQJK+QC36kp83XdblQRARt2yCTz9GAyosMWyd8BiJwDMrWsg3dXowSixQ7IwmY+lmrnccxOpxsaAH75skDMVtn8Ktn+8JbZsi7udT09Oh358CO40DOO/TR47ZvxPRzCEB9xcAbzE/DeJNd3Cd+AAESURfPNydfO/9W64Kfe+IUjKFOSmIa2DCF72oBgdhWK1SsWIjh2ZdiyYqdHDDyVsFmpfkAlm81mBkVXU0GfTjXc0MtXuRlf1cu8xGnKsdR3+Flvs97NsyhuiB59KYN4ddqSsAUKQ8btkxkHxi0XWFHVii7uL9MDfCLgEG1DPaFMXp+f91j+b/JvxHi7CN6znt+/eEE8bHCfwu0FrrYcih2dx3y91kDI3tsc76R74hv9zGrJlFPZY3HzrIgs/O55WzOinPd569DnN49yyRNSedijelL1ufnttrf9oeuZSDqdeRdvljPZa7Gwt4+e9j2HnyHxgz5f7Q9tWffYfQpmDrF83FxRfie+cbxL27MJltoTpd81FGPPYYpc3N3Pbyy7325aknn8QbCLBmby3hVgvzzV5mnX4mCdGJaJrK/q1bMGkrsUYncvGFd/fazr5nviR2YB9GPnhrj+XN323AtYPQwGzpEs8yQJIoDCiMFIaxXG3jH8a7ufTSuQxIziHbEsbrNaswm01cd6q+RLb/wEHq6oqZNu3RY47j9dYgb/6WPqnTGTDgL8eUv1s4NGR4hLZFRjBnUDhX1Jtps04igBVZ9pM5cQJuUeJofhG5tUeYOmog40/vzDJ5/PHliEYfJtN0COraagSQ5RqgHknSSa9EUWPs7LMQBAFRAKm5iZgx0wgYTTQWbGJ5sUSanoTE9CQbr0zveKYEito+ZPPew4gVm7nykquxmIygaahKp7cMTUNY8CNxVQuZdNtfkTUNWVG5bPklAOSe9D7W8Gjat/2d8LajPHHhSFRNwyPLPFJUQ1rlUWICXvp4XZzUnsYwHMSeZQM5gKYECOwYiclZyKaxr+IQFayF3+EJiNhyssls3Y4pMhl14Omomh5sqqkqvo1LcdebGDP7DHTzWQumiYNz2w7c+1YhqTCOaMpPOYQneh4aGjsqthLVmIw/IwZj/yaWlC2iTOzHH1P1pa4fgKaW/hhLG4hOORMxrpJA+Pt47RcixYwkMg0c8+oZsD+GJK0GtXAQNQk7sHhjyRqUQd42jTKDSmMwzfak/SJ7phqwCp0ZVf+u0GQZX0kpkRcdy4vye8MJ4+MEfhdordcHm5iUY9MnOyBKIlovQZWqLJN/z90IXTLb4ps1yj58kKzb3upelxB9QK9QENGOsz6vaJ2smV0x69JzQ9/X/GPD8Q8CxB05woDde9h25AgYjISdfRaDrukulOYP6DM+nyjh8wVoLamh8LW3QVFA7CBAkvC73T0dohuEHmjlOyAHAoCJo59sQzHtJI1Ooy1Xk9nTcoQJgxIYHjWZLftWs/VAgJP7htHQsI36ehuxcfVdWjvOtVN05kxR7CENUQkw0uvFoWpgjWKj4OWLEffxSt4qVrCLgnAHt+Zkc/K400IeFYCElCRyvzxCWPQvybUEYmOnMWtmp1G2ZMkMLNay0O/W1njKyoZyx+0jeuzvt9YwvqqoIN7hZaDJwrXzcxg0IL5LjcFsqFCAzaROnITZau2xna1fbWKwfIjzxuiZOQFZgeWwI/Zsxs7Qn5stR75C8JZz2WB9eUHTNL4sPoI30sCUrZvxx6eQ5LchmjQsEzpTin1NB2DvN0w+5RIEo4nyn5bg8wU4j3cgAtD2wrxXIKwzULh5yz7MfhtnnXxxt362r9tBa1MJ7ft043PnKQVcfn1nQGq+8hwftXzCylOnEmdN4M5PH2Je0jjuPmUiCw5u4eFtdxDlC2MmU9hf3UqlC04ZBjnxJ9M3U2duXVOyguujqmgSEmlOnEb96iIC1nIOFZezPHIgNWonx8Rms0zS9moaxf2k0rOI478LAhUVEAhg7tv31yv/xnHC+DiB3wUObNCVQx1R+jrp5399juq8DZx225PkTB4OgGgQ0LoMnnnL7qbCvJDwRWaELWGEt7SRFmnnpU80EgfFIK0sR2Y9yvUuJEtndotP1vAFNJatKebw0TJWagIlbTK3z87ipmH6wKAhdKN61vx+NJ8HMUwf3LrrhfzXkRCQ8QMYjIQXFOD9+2sol1+OZDQi19eTN3UalmnjEE1mLrr7fs5Zcz45LYNotDQyvmoEmiRhkAOY6iuwW35ljVkDBIF9za18/chT9FMCRBgNQXZGAXtNMwMsYyEqGskn0EYTiuJA0wwYAgJhcj37Vi4ha8JZxNhS2LRrNZt2/4TNqMfHeNwOjh7dSUNDAeUVtUBCj90IBHQBQacr/9hCyciH1XW0TDqf9oFXsnHdzXg0P+9e8CH3fHwLK9jAXUfu5yWDwOzRp4V2q63WlWZt5l8O/BoNjWtZtHgpqqphMLRgsbaCNpNdu2LweIxomoQ1rfcMCqdBHwifv34sJw2I67GOv7VJ96uohGjUuz4bAZeXyyUrzZZOv5csKxgBQ59OPg4BtZuBLQgCC+eexL2ff4U/Xid5UyQhJAgfQkcQrKyAUd9P0zS4+EvY9hY0FIC1e/ZOqM4vUPWne1HbakO/Y36xn1HUlzLnfDeHFEcKmiaiaAqv7Cvjg/xqNIPCaP9MwE+K2ozNqy9vFh65k81HEnnedCcewYrEm7QRjSgLXB1hRGo+wDAljUQhwDO/6FM1IpHXXsa/O3xHiwEw9f3v0MX998YJ4+MEfhcoO9ipaBvw+anO070G37z7AqbAw6RFWImUjGjoL9nCg29TYV4IQNs8H5GbbFj++iCO7z4j4mAJilFFM2moUQYCrpZuxkfJ0D8B0PR1MWbgVNHJu+E+/vET3DSsD5qs4lRtjC79kMDjy1FiJmKsX4KktRCQslCjhyNE6gOS1IM67r8CURDAYGD8oh85unIl3HY7+UOHsW3MQGpSBuK96ELCDu8EIC2zL7dmXcuLxW9ya8IVuDcXo8r6DN5ktWH8VTVQnZa6ubiUS1f8SHl8IoLVihAkT/IpKlvttQy59xmGDBwY2qtoVwHx9S5Omvwnvn/+LZp2f8YN/faxkXFsZDzugBfJ1YZbtvLxxx2kYTlANuf2wAqvaroisNHYSyqroK/8eP36oGUIekieuegVtn1yEi2GdgaEZ3Xbpa60OniGnYOp3+9HVSVczigSE0yIoogoxRIRMZlRI29l1iyJPXkl/PDFhwwbNKjXq+bx64amzdj7vQ6vbObUjHuoe3xnt+0dujSCIDIyfBIEJ/QL91Sye9n7PAYYuqQYo2ndDGy3z8dpKzZSlprNRTWV5ITbsQcMIP/S+ND7pikBBKwU1GWi+gt59cmvgGgQJiBcq5PyCYKEaDDjbS8hIUYn7RIEgabPFtP89TchwyPmpoc48tUzx3gAL8y+kAONBzjUeIhKZyUgsL+9nU9MTRDTF2Le5cI+fpZ/upR2wUCgPYnaPRcSliCzI2IwtZZEEr3NpMSloCGiopGbEsEo21wGlxYywWphvtqO4vZz0CXzD0xcdlIq6VlpvV7/fxf4i48i2u0Y4ns2Un9POGF8nMDvAqfdPIxnlhxhznd7CC/ZECKKOjB4EhvUdmhxkpls45JDR6jevIn6qm8gOHbZXrEQUFUq330PtxFsokD/2+9Dk/XUQWX9EpyqDLKsb2Nkt2ObVSN3ShsotZzLlhVFaJrGusAtnGn6mr5KM5ba7wANrzAMAgKmukWY63Ua6AX7vqSypSOoVf/omJXWlh8gCaha/C6ft9gZERmNXTIG6+iI3b8fQdM48urLaHIAb2wsloYGxu/Mo6qyjY0nTaPRGEWpNY0H31iIqiUxT32UolaNMocfjbigMo1Av5ajfP3YA0FeDZHmgEAecQSikhGBhlOuJsLoJXL3fpgzn50nzSZNiGOwW0+RPdJYTWTCz1j2PUtLkQOdBlv/Z2q3cvTT0QyKTqe8KonDzVUY/NXYIzXU2gIMLj1s1ZOeTZ+ELJo89bgVmaPvf4bfX4/Tthd5YC2CIKGqum5Kbe0inM48nE4vihwHggSIzALUAxvZfXgbRMFrB5dhPLKJOn8tLYZ2prWOpnlZGXU/6LE/RpMRX30bSPDjmhWIP23CFGSWVFUD+2smsd6ToodeEAzBWLMEAK8/QCCQzrjjOLC8QQVjq6l346NfwkmIdQFcg/1BBs3gwYJ0+ILfj1IZyayZYbA2l1tyi/g+5WsuqjSSM6Nz2UPQ1JDxoWkaVy1bS4kjlrfjzMx78AEA9j/3A0LjLzocZC9F0Q07g3kEimAjpo9DZ/4Mtoemoaoyit+Hzx2HTDJHcrobXuFnXkX01edjyc7kyNfPdDKGBpHsSOa9Oe9x4083srlqM6BS6lsF6BlmohbAatK9cHPmjSPNkMXqt4oZOiWN86Ij+aqiglsjM7luTEaozZ98rdwjtHK+TSTpss6ly1TgtyR0G6itxZic9P/tEf0t4IS2ywn8LqBpGkPW7acRlYHNAQbu+JZZF1zJhSMH4ZMVrl12iJg175JW1RFsqhE9sBXZK9FW2p1lNMrpYWJRVa/HOjzgEmqSJoZe8iNti0g3nYZGd9KuQnEb003HaloA1EgiX4SH80W4A4/YcxzFiCKVB74+Pq/D8dBwvkppeCQPNf4VAIvqC5oZOgRNg6AYnUeyMtCZz+zG9Z1zf02jXbKzIPVcQKBueiZGSSXM7yUgirTb9Bn3n75rQjEIREQdpt/UF1ECEvpsHRA0BEFDECH66DxiCs6h3lvOupqvSLC0Myaxlq85HXtJUHI9YzQmezigEI3ERHMaotsCaBTPuD8oK6+haQq6YaP33+0ORxSsIGiMKKzA1CKSZzDyVLwDl9QZx2GTTdxTdSWJcjyyHBxoDQaqaWaLlIcmGxE1IwaTnuIr+1RKAn04bDd2XrcOjTDApXpwxX+DKHmxmCQ0VNBUNDr/KZofNRCBv/QPWMQuWTsAms7Tcl8gDNUFapcxRwjpCekZNjVmkdI4Az9McJDeUkBTiQ21oZV4TQvd14AGYy35/HjSORg8bjwWG6eu+Y6s2lKQJKbZZhBljsWh2KhztKAJGpoA5eLPHPA5SDa0YJKgxewjJr6EhDA7nWcrhr4LgoCzOYBUOZ6sL76AgB5NW5cRiSu804OWua+ehUMy+WFSd6I9KSARX5NAmqEKg7EVecAPpCZqiJKNBKERc4sZ2jyUrUjEnmnjO//VBASQrBL50br4YozJGOpaoud2/vqliRbBhnWuG1tfA35LCwmWU7BF9gsJuCF2iMZ1FYcTQ2JvgiAGM53EUMaTIErBevpvUZSCwnBSMB1aCtVFMOjeyNC24D6S/l0QdQNZ/y2G6nUco+aRx1BqGsj49NNe/qr/vXFC2+UE/uOwvKGVRlSeHZDKlSmx7B2bhcurDy5mg4QLjaaMgaRVFXH6BVdgMBrpeLMLU/QXkRLwk7vyDdxGsF6koEpGfDF9Ce83g9jUCYhGCz4kml87RJxRIWF6JtaBYbTYh2E0WxGVTqd96Ru55MYPZ3owhnLXoOsYPuX20AAWVXaAG1ZcwvkxV2M8SZ+5dnX5a8DBqFsoHVXCuGGfsKKxgccqw8mU6vhg9NQQPfTjqzeyVTKzYeZ4RJMR0WhCMhoRjEZyRJGpwEP367P0I8/1rmw78f4vcVljuO7drwh36Jk1D197HarZzr7nLgAgaeVuZlkcfDhHZ168cEEu66PgjlenI0oih3a7qG6B0SNWEJPQGZvQVpHHjvzTUNOaqT5cggEDlpgwJjj+SISUy1hhIyn9solW5wMQf8doTOGd2T2l336Ntt/OjOmHjun3kSNLqKy6jSGDXyIzc0Zo+wcffEBZWRlLr3u413PuUEJ+5JFHGAycDLx2xxIiEk1cfv9sAF65cTVjRsfw7h9G9NjGC2t/4qOyQuzySGIsUYiCgIhOziYKEpIgUdD2M7KtjCkpMuHmsOCt07NiKotbMDojKJYV4jWJ4YOC7jhNC310PBWekjrS6zQSdtZR29hxfSLQDG40QWBslItFdbGsFUYy2GFFc7eStPFHUpKSGCWMYYg/2LYKLrWdDQfeBSA2bRDGAfVQ6aBKjmSIw0u1x0BdXSaJ4a2hpR/9nwqoqJqMIzEfo1El/Py/49u3nIambbjsTlDUEDPrrn4iOzPCUbtYVULAwPSKJBIUgUZbFPHtGQjePMJN+4A2BEwomkTlCj241VXspiBTpZ8k4TAZ6Nuu0mIRMIhqkD5HYULbfK6ZOQJZgDen3UOrx4BkC1DOjx326W8Dp0F0Qf+g1vLvGyeMjxP4XcAq6TObZ4urGR9pZ05hCWgaqUdKMSFQbNMYYNVn6skz5vSQ1aDjh/UvEe82k0EtrZpIRF0F1G3Ap0ns0fozTsxjj/978ANLSkndbuX0h8YimqRurtISAQy2aFx/Kqfgg/MYfehd9jUcIOeGpRglCaW1GpumIUTGY+3TGR+hqioHV6ygas8eilr6QmYyp5w5mov7mnmrfRm7hQHEJkQhSbqXRYqMoFWwYUvoOTgTYJK9lYpfSWSpJgwMYcx/YgFrnr5UPxejGYO7JVRHE8EUZF71eWQOigqDymTE4LX3+HSRNEVt7da2PSEd8sFEMm6vm2VxdcBADB4re13judkyhKWE8Z3mJV5t5JSlcYRNTcGUEvRICYLOs9IDWlryAIiJGXL8E+wBJpMJo7Fzlt7S0A5eM2FxnVk0ImAw9J7hkxlvhzJ4ZOodzB0wiiM1beTVtDMwMYwB8WGIosBba99i0fb3meTejq+hEcWnLxtpQKrTh2jogzl8GBrpFNTkYTSrnH3HXOzh3dk4G19Yhi+vhdbG7lk+NbJuiCyq04NlAx6J5WMGAgPhND2jZd/LO6DWy6FUC1aliujqznOKTo5mVdxQ9oXbmJx3EC1lNMnufTQ3i8w+843O63NoPTX7v6DNd4j2VD3A2+M7SPOwXbQLw3DG53DaDd1TRAe/PQPZGcNlNpGAasHhScVQ7kVUYeRV2Uwclcg/blvPyLS5TJzZPavsxW9PB8CcpD/rT1+VxLis4aHy5oYWdn51OWLOIXxeKyOFBVS5dYNFTPuAyalpyO7WTgG4oJhbSFROVVFDZYouCKcquudK0z9VVelSroKqoHV817TO76oa9Hrpv7XQ8VTUYFsEOXM0VdG/q/o2gjw/mqpSaVqEacyx3DW/R5wwPk7gd4Hp0eFsm5DDrcvWsOSaP3NvrzU1/D4Pev7gsRAShlLqKcN/1yHs9niKKjbTWLicwrVHMAsBDBHJmOtq8WvRaJqRinoP79y+AYOge3QRYdT8TCK9Kv3tFuy2cAZc/TVHX5/GsLqtND6TiXDLTuwuF+UkoRw5ylMb3ic2zMQDfziZ1159Fa/ZjCQrKLYUqIXPn/2E9ppEjs5LASO8vaeOm8bowXMGQUAVex6YOyCJAuo/ubraKugDmP/l0TyaWMiTjWcBOokbooAleCyz1UD/gMDuJBOVTW5Som2IQiQAotg9a0YyWjB7+qAZAjji40GrA+Att4tI2YRmBasG6R4Dy4VoRuXWIdd7SPhjZ2xNT2fY3l5Lc8sCTCYoLdvE0CFnh8o6aMhdW7fRunAhSU8+gSB1j7mQJAmpy7a9W/MREBkzQzcGFVlFQqDdL/d6vWSle8r03Fc2hsr+cflo5gxOxNDuYebueNrMR7FGx2GK0D0kgiDQUlyEGijA01hA1MCh2MKyaSjqQ31VyTHGh6aqHDB3vxLTI53cOn8C7qYGalrcLF+zAaPsAs7sVq+mbximRi+n3DqWVR99g9xo5aoX38TrbCd5YA43v7IGqdZLMaPZn1vJ/Kg6FNXIno9PB1VDxU9L8lGIAbENPDJ4EcjzefG2vE0qD3XQu3SHoKFpAuvLZc5ujAN8gEBGRgPW3WvYtVMAkjFwLBX93V/pwcefr1vDZS8vZOvdHhqiLEhKACkQIPxQLjGDnTTngMEYwB2IwGYSqBeu45Jhwaiv6JRe792/I6o3r8YS2ef/uhv/KzhhfJzA7wbpVjMfnjKVD796HYDUmDiiR8/TBy5BoKr4R+rzG2mo3kJlSS0tzVuJCB+FxaFzLvQbcjaiIBIQRUzh+kurX/pJ9Es/iS+c3/P9FhNnZ8pMWXeAmqROT4MCDB0Zi6fFz4s1DTy2Wl8e+GOdibmAzRaJ48qF8MZIYgKtbN/0NmmmbN7jInBCpVGl3dfKM6+9hcFsZpzNxty77mLFjyvZtm873tZwMka28Hyzwh3x6RxpcoWObRAF1ONwb4BufCi/YnyEiQHaFQNPnZaJIAiYWgsBuCVsOY/e8yDn3XoLCAK+Lvs8PbU/c/YX8cjGIt6ZPxSjqC+1GIydmUEV3y4lP+JuNKsfzT8cgygxwBXDYXMTX9pVwMsV3jV8V52HwXYyA2xDsQFto0BsqcXf5iGvrpEUpXsKbCAQYN36udhsbXi9drIHntp5P1SV9QYHtrAonl2xErNooP+LH3Hhn7rzn/wSPo8+AMbE64O+O7hsV9zcu9tIDfK1GIJG2TWTM3n/5+JgP4KMqEV6Gu8Vz79MfELnwHLNe+eSKBmJOaJfVVufn5gw7TIWv1yLqhw7GKuqSoFZN5buGWHi1otmdynVCbTyDm8h0IPyrSgKCBpsXnOUAYcTaDU4iUnt7ItU6w1936ukML9yPcRH0247GoyrEIiqHYCjNB7l0+3kX5zIoxkNzBUVxo95jJIKGTQVf0sZhrBEREn3zvQxNHJqehW33/0ar9+4Rj9PqZXaciO1GFER2GRt4+j+XWwVlGBIhorOyKMiCBq1BdVktZST7GpEbrbjkwzIogFfTDyZuS6kWiBBRnL15cqzvuz1Xv0W4Pc3YTT984KEv2WcMD5O4HeFGIeDnKgmalwWLoxfANd+ECpbt2Aj9fmNHK24H5NDBgs0+DdCMEv36JLH8OcNxK5E8/RfP8UYrzJ8TD9mT5jMwaoWIJ7vtxrY2ieVJmsbdzaDEuRwyN1dQCBco8RgJUwSaVdUNjq8XORuxYBI1bc3Egfsm/4sw0acSUvxgVC/xhp1lkxFE0hSFaZefQnulloCHn1gO+emyVhtJiZt0dNi2yWZiuY6fQXe18g4+Sht+VJIh0Yj6PJF/zC5q2khncLD+1BUVadN13S3r/5dw6Z6SRZ9iGIKqzbtIUPMob96mI/k8/HUVvCPJ59AmH81O9z1bNjuJPLotww78jrfO3J4y3geRY8uo9FhoVk5hVLzIZqiahEFgXr5MF5XFHZvFo6Y0/nQsoJlyeuIb7Mz0+PhobbT+FbRB9+4QD5TTFkImPhq62d8VajTZ2MDMUsg+vMHUTQNv6qRGtaXM8UwbLQRF3u9HgQI/PTxXt5wudmSPRDSdA/Gn/e/RkFtOM/d8wHT5o7BYNDrCm4bqq2FAwe+QdNUGir9QApLN+1EtKegBlRqIiXaksw8v7tUpzlBQwh67RHgQJ0H2ZiGALS2NvOnuQOZNiAWDZjaX2fa1QJ60IHZ1hnHApC1xoNJ1s+9zRbAkuhCDHJgKMqxVOCaqnGhS+WiF04h1tEzJ4seDNuDoSkK2BWwr9RTW3c7iuiqirPytizm/i0PFZHllw5m33dZOJs9TDuve5zN4StORrFrnHLzh8StvxmDIRLtUytpmLF7fsL0yg34ARMgIzAzOgq7TTfibnnrWIKv8to6nnh5BzRPQ1ivhlLhuyMWJg5l0ewwhs7qZJ/94YfFCPfdS8QCA003yWjqr6WK/3tDUTyoqgej8d9f/O6/AyeyXU7gd4Xdy35k7YdvMyOhiFF/WQhxnfEUh7Z9xbKXPkGQ9IHZZNc4+4E/0dZcRlWLToO++93RmExj8fVNxV6VgDOskdufmMeRmjKW5h1mZ1kLuwt1T4lmhkkeA5pPxhGoY11YHLIgcN/oZJ7bdxBj+B7M8Su79U/SNCQNRAQE1cpJ1Sdhl+0cD7E1UxAQ+Xqyg7zU7uv9W7deRIav+rj7vxA4n9eUs49b55+Ff2Q0aryVXTvO5sgYEaUsguL1OUzYsY/i5FFU9r3yV9uosR9iV8anmCUHt9VeTZYvjYqdL+CoLEBCwHHay6zNOET88Awkq5FYRxR76pdS7M9HEgwENJEfK/fSGns7Y6xussjD5vExNusB+LmRHYdcfDFdYvzRQ2zLHMQfj7wLhT33S4gqZODsZ0O/A84o3PUDacw7FX9bMk+cH4X2K8taAPPXv4EY42WKYRwJ4YnBuEwNoamRA1t+ItaWQrQ5kYbIWvRsHagvPRra/6c5LVyfUs/E7JUseLoIc1gL0X0COgGtqHOAVR2RkX0m+ieWhbwRQpfUGwGBfXtXoSGgTJ+rZ1BIEqIkIbSamFWXhIjAN6YNNCtHyRk7Qd8vqCZcvKsYaxcPk6io3BCejqoYES2RiFYDTau/xWM8TPilc6hWviHycYHIPkkIo4fjlfYSqRagikZiPXWhdlYbknEPfwpRDPLSqAJpPiP9IiCAwuWrvSRHuZk8rD+qqrFr6Y8kWNuJtbhRkDgkm9mYVszZ5UYy+o+koV5iVGQilZXVRG3fRsuVMqBhMUwgyjQKu7VL1lk3srZgEnvnf90yikL1u5G0ddZF7CRn65YJK3Rs69p+sHWx5+MIwfuHoL8LEECW2ymteIbxJz1KbOxJ/BZxItvlBP5jUVtUAMCewHxca0oZNScRe2QEXpebptJgnIcmYXJI+NpkIqIHEhM/iqptj+FvSiBr9OVU5kucfHl/1j1bgaM9hrf/uJjdHGFbRA4eKR6LIODVNAQfbBFlsALWeMI0D/3NPs6YMp7n9u3HZozkghGPoCo+YpsOEWcUUDSVgKZS3VLOR217mZjRwsjUEUHxNoLBaqBq0LRjLdWN6YyYXo1gj2YyXsqNRhx2LZT8aCsK6GQGQO20VztfaqERSeCGLU8y3b0XYd7LCKKIKAp6VoYoIogiTUve5vnWQbRJcTxz/hgu+lJfcrl4eAzzsqPQEPB5/Fz3Yyl3lReSnGygfqmZpI/hgsdfoOGKaLgCnn5R55HwG2UwGXS2ThEEi4g9wkZUlJnGXYfpXxvOJUtaqYl30z7wU/aIInHNxUhBz03FXA/nTb4Om62TPGtkzqTQ94MtlfxYOZfrtDdoYyq5jOKIdTBvVrYRlqzSTzFz0Q7dazKwyovWfDk+oxuLbAKt+ysvNm0nQwYvorJhB+d/EsUG8x2kCIv5aZKZrEl/4/GDhZwU4eCRjMTQIBPSORbg8x9W8V5aOlHWYdxaqQdDthjaUQUNVVBR5WimRs0hPkoPIjzcspWD7T/zyyiWS2PPwC69R3RCAtF91+BpMdPe6EdTRTRVQFNFRJNKWPx+yvKC1O5BHhD9o3MOKaDh3b0VQVURNBVBVRFVlaXB3+FyAKvBwkrNQIUSwcmmApoiY4gPRKDhCw2Ykhyg6b0XsIz5A8ZUfUnN3vdqhMBmii1vgwpim4m2Q+XkDN3e699kXtt8nvu502h+CitDMdIAqKiMNO9Gc2sUbNWXqyJjbfiwURms3xxZhGyr5JuBkNNsZZBnEOs81Xo08ITxkNd5LJO3koiW3tlm/2eg/eLzvwoT8FdGjk6EnuWpflc4YXycwO8Kc2+5i8bKSmqPHmD7ggNsXxAsEMyg6S5uTTPha9O/b946DcmovzRKN1rwtRVjMA/BbrHRHl+DJAm4a+NYF65TWGdRTYUxEfzHzobbBSuRGWmkJsViFCX6RWTwwPBzj6kHcOjAIhZsOUpCrEzm9Et7PhlDBax/Fk7aCEnDABjxiyqujH4gN+C0zyNh5lU9t5P/PmP8e2H8lGOKWuvdDPJ+xfZiXcV0wohL2ZyRxrbiRuYNTcYUzPTwe33wYykJEeGMSU1FqdHPf/amV/ji9MfoV7qfYeWN5NmPUBSTCZoRVQCDArZmFX+jk1qciCY7BnM1lZdMxPDzXsKLa9A0iHB1vrjrvnyDqthw+o+ccUx/AYyqEwC7qDBE2Mqp2mJkDORrA9kknY4xbAgxtRPw2Kox+2IRELEEbCwZbeOKvq9ib3CiKWCLP4JkMJOQ8DbFbSbeMV5LiqDHS0SJCaTF6R6paLOBnOjumkFen5vDB1YyOLKZca2tzPIPxZjiIPrigaTGdl9eWXPdn4lHNz6Mg5s4fcbFZOaczZsfL8G3/D2aDREYm2tJtKuYLRYu/tPV3fbfvW4lNcUNJMYfxCmsZ9oDW3q+z8Cyvz5HVXked7/zXrftmqZRvXUza956nTLJghbwkyvrcU3jTz2fmzy6Xk7OjjyW334WCx7/iAZjGwMPHaT6iW0IokDiPSOpeOAHLIYUpo3fxeVvzyTthmgunfNnXnniAxSlBYtjLhHWSC58Vk+bfvOejSgDozlwTTYtbT4OvJfPEA+Uj4tg7MQEZE8A7eO1TM2exJBTJiCJApIoIooi7qpm/E1u9tTuIrcll1fGvoLX42XHoh3Yptn4puxrHhj3Z05LnwMGgZeeeZOIaAfXPjwulLbejayNzk894UUj9OMX5Wo3YjS1M+U5+CWUFq/pCtCdZR3Lnp3XXetCFte5LNqlLLhPfamXjZ83YLOeCDg9gRP4zUEQBObdfg/v3349AKIUDfhJzp7E2DNOITU7Hclo5KtPvsJbeIRGR1+EuibcxV4YkYO4fSBosODJvZi1SERNpCkYxp9IOz89cx1bjzby/Z5KVFVD1TQUVUMFluyrprjBFeyHFgo4/CX2HdrHgm93cQqn0Fj/A0wvh6geXjim4IDnbT22LAh7Tjrs34bjns+Oc1F6D0h1RFsQBMi398cQTJlNjrRy9sjUbvXEIBGaqsKAzNHs++OtFG5ZjpxqIq7sct56Tsagwsi9f2f8FwvoN1IfbCur2xGNIoqiUl7ajtvZKdWuTAFJVjH5Nbin090/4Ocy8mLf7dX4MAt6DMGgzBuYm30TpS357K9eS2T9Eq7mRZqGPEpY+iS8/mwEScCrqbxW0UBFjIHHhWt4PP5BUuyJuN1mDAbdwMhJCPBx3xSGVh3liX438MzJfyQQHJzagxo9TRX7qKsrpGX3l0yoWMFIdK7bS4Dy05eRMGZkD70F2wUVFHsewm+vBlGhtO5rjlY8zNCEUdTMm0H7xnwchdtZEW7g3W9mclLqUCqVBHYfOIl5BfUIrnAgEVvW90T2aev1Xq59/ksC1S5kNcDBDbtY8eYLiAaJ2AGjGP3ZOwA0DI/GTBS1lji+u3oo536wnzsXFobo8YxmD2azGVOCHaHFpd93DQRJQLSYEVQNQTBgtEfiEyQEyUZ1YRmKoj+jfu9hjMnTMdr1NOkAZqwmE0d3VGDbUMBABConxDB0UjhePCgmPbalsrmSmVFhoSWS1qI6lPeLkIBIiwyZYCtUkL0+YtUwduzfyffVL8MRcA0vJPriEQhISAYDZmvv4pL/zvC2NgANGC3/f5ILvxWcMD5O4HeHqMRk4rKGU1+wF2dafwSzmQLFTf7ChXqF4ExDJII/5NxGwuROHYX8k0pZ+9NujFYVQQRZ8XNkRzuQwil97SxYvZPMxCiePXfYMcf9U64TGmHvnzfwhdYHinzseehHvTC05CsgqAIXKpNQBY0Kw3aw9pz2izn4EvW1936yhuCwEXCDqZfYEUHo5pbvCkkS0f7aTP1DfyczqveAvQ4uj47Z4rBbbsH9xRdcU2ni72v3c+C9oVCnGwWqqvDBuhUsXy4zraV7lkrGzD5YYsvp678KDY2+W18EoPZ0jYUVJ5FzdAeLx4mMKbNTcf9GfMKxWR9GzcB34ovU5dQgCAIZUQPJiBpIu/9KftxxPYm1D1IqjeCKqV9jECU0TeOvG9owI9OoxvGWeB/DBIU2dT+j1SKmAjt3ns6gdNiXbmI4a7HaHsIl60ZHkdtHTUM5ie9O7WDkp8SeQWXGyWSnnUzMsotIFI8NEO1An/jzOdJ0J+OHrMISlUjR3iWUHP0Sj20XsanbGD83Hk/LMFa0bQbqOZS/BkPdbVxX5CMk5gJMbVtFoLB7zM+hfXuoKS0jcZuZLDmFVfJ+nN4mlr+uk6spfqjd/1Oofv/2GApyBvONYwq3RR+7Jv/g/An6l15WEBSnE62hGYDyaA8mKokbHIMj9SL8rQI2g4glXcNVdhRBlLAJraBUUi88ijZVRFP0Z2zrfh+CAF6PDTiXo7WlvPH664zNLyBqxnSM1iQkVcabYMAwOB5qoc9mK2BlMHGcXD2MdnRvjftgGUphPHbVgCz3fh/+3eFz63032/4zhuX/jLM8gf84pE+ZRpmrnZTU/hgMJkKhYsF4iNr2CtqdjQhS97fsgL7pDLghPfTb6W7ju50fAvDxUZGPj9YCtex9IJ6I8O607B2ozXDgCrgID9OwmQ2omhYiHlLRyYyammsYVzmQ+AGXg6WXwCxzcLuv99kuQa0XZF/vxsevLEULoohosoGg8O5Dm1FjTOSMS2Dq5D7d6gAoWqc7OsZgRHXqSyBDNuxn16I12O69hed/+ISD7ulc4tQND8vYGOw2I4qm4fVlYZJrSZx2K/n7fgi1FR7bRsT0Em5p1F9J+30wtthPxbiuaa76iZhbNFLzouln7O6dCTNZuWTSxyzP/5T0ykfIrd3FmKRxvFNRj1vVuCcjmdKGrax3RVPj0mgRTqdCK+KGX14Po26M2oIGV4bVTP7SR0gEdp7xCTmDZpJhdZABBA7t0XvWRcH4lxAF/ZwEAQxGKwPHnMfAMefhdbdxcMcb1AnfEJG5ijfEu3kl703yLXBdUXdV0+nxLyOb4zB4YfOOtSBroGjYVrgZENBNoiZTG20kg1CEIzqNM+68haT+afztpmu4/w9NxBubeLZ5I4f9CaiCRGpcJDvvPwmrxcTynfncvbiUyHBH8Ep3Ydv1yCge8Fc5EQQxSJIF18f66Gfx0FJ6J/3nQd2+c7i45W2oAN7X970pHpan6PEied/+I9Rm3MDtTJ01DG+ghf2evcTV1zPhq68RNQ155Uo6mFXssx4joz6RUxMnU2mpJ84XSWWKi8yKyM6LI6fhe7eIsxnBgbDevYT/7vA6AxjNEobjCBD+nnDC+DiB3x3a2trYdeggcdmDueaGS3qsc98392E9aMUje47fmKpxat1KKrPGssI3CJdkI1Nq69HwKLAKBEwip9wwCtC9BHV1S1FVHzEx0zCZOqPINE2j4s8b+KhiPds/ePaYtgCQfViT4qkrasJXtTgoAEeXT5hcfYhngJKXskIkoEbB2C2eMVyWaTVFc+GypSEROU2g8zsCqW2NhBXk4gsbAA1e9uW1sfqNP6EJos4jIohcoInsrLXjWfUOJllhao3OX5E7TPcC2fz6zO1gUw7zlc4ZeuuOBrzBDsUOsiOm+Nm8dQwA32SMpbYom6zMw8TZSiBIGz7I6cYV4+Kks7uTZQE4i0toySvHYDr29SUIAgEpGhOgBrw8t3oDL4m6Efd6fg2QHjr/gKjha4vBF3AyfuImvt77Ip+6h/OXjBGUtbThyf8ZUYvnsm0PMq1qGW7JRnrSMNzNDbibdN58sbGMGECrK0E+mq+zVqpB9kpZAVWj7XA59bXzyVP3Y4mo6MKXrpFomkRUTF/KShdStDWbv0anc1lWKU3mOqJ98aHzqrQewlPnIaLCRnJlYcfZArAr9meiJ2ZR2lyB0ZyPwT2AjcYIpO8+YeqMqQy94xkC+8sYdPQv3Bd5G8ssQ5HK3BypyNeDjt0CdW1NWFVoqm6hymDG4w2gqRqu+opQH+r+tgcxKg0xwoC/vJxMt4jPG0fMiFtwlvyVeNcGGsVJxKibqRv8GFpEMrEbryf7hxYq+3akBusnX583jsaJIn2yBjL/h+76R4bZQ5F/2q9fovJN2Aedx1lNM6l2NJDijcOQakAZHIkWUEF2oxls+Le2YXfDpIt/m1kiAB5nAIvjt50u/K/ghPFxAr87vPTSSwBcccUVHK09SnJ0MhZjd9G3tPA06qnHIBz/T0ANyDQZo1ggjwEJJjnaefjSaT3W1QS6sTwePHgHtXU6S2NS4rkMGvRcqEwQBAKCQqMgMdSa2Lm9i9VQq/hYJ9fjV/NJJ4wxBtMxEl9NkQLvOMMxdllW0QRItiUQY9UVazd4VNZFzmGONdBpbmh0MT00ioUmJKOEpnoRRAuqXEP8yEkoioyqKGiKinJgA1GBFtKHZHPEVIevsgExOga1vz5Lr6+uZrfPwmRTC7kOC1O8Ept94RgljTMCZkQgrPh0GLJIvybhr7GxZBtI0Fo4hjMapvB4yXDejfsr7TY/kqn7EkPo/IIS9Zh6ToFtaj2ADWgvvJrRAmR7n0MxZjFJNCEGNVVEARZWnEcdMOZzfb/JUQkcCruMiwsVBK2Q6g0XkTn2E9Jb9Qwqm+LG9vbwHo9p3nEn7OixiCrvVTS2zGfLYQDdQLOJMDvciAaYSKI/N5EZpnGyfBMW7c9YxR1UxsTjEmBnn2W0WWy8+7UJ2QMyL3VrfwCwyjmLxrhYpk7bCmzl5g0N4AWWPc9Tg59kRewUiH0mtI+SYGPuawWh3zGKwK3tVg59Vsch6oB0nPZoiv9WTGSXYwmiCX9JMUWzn0J8Q8ZMLeMyL2Hj+ocxxhs4Vyzlp3KIO/BXnFVmvnCfRmH//qAJCPGbEVUjaCKCJpG7+xC11WtJpst9FrWQ4QGg5q9EyzmXJH8sT0e8x5imh+iz1QG0dOlVG0ag1eIjNaVnb+RvAV5XAIv9hPFxAifwm8XUqVPZuHEjr732WmjbqZecyvgB40O/YywxuvEhHv9PwGAxY1XchMnthIkynz90Wa91NUHQlWKD6DA8AGSle9yGpmnIgsKImOFceNHrPbb35v5PWbf7WUyu1VS7VuMf/ABPjjgfs6Gzzwt27+MVXxlOVWT9BWvZVraIO7e8BPi5JftG1pRsZ3eYiDt8PFXTJ/fa9z+v3gWpqdz8yBxkRcZgMCBKEh6/nx1HS2h2tlN4YANZo0fxQPzXALS8ciZPTnky1MbRH39gx2fvcOd5Y0iapGfWPHf/Es43NxEflY2/zUdJi0btwnf48990wqnzpSw2LllLmtuK2NyHSqdC6RCBic5MBl53So99VYPGh9CD8SHLbjJ8q7tpid3lep/Zpy/AaulOzLXsQys+wcNlGdP4tGQDmVpfnrQWoRmzQJBolSJYmHsbhdZUjpjS8U94UD9vT4D3fy4BBJJo5GnTexQmXEba0Lk6IYco6umqooQgiWQcKuPQRjjlEgPhmakIAqiqhvyGrpzcQcolCQKBMbGI5RP4aEQnP8z7k16EsCjKDz1P+A/7sX3/UWdmRfBz8uW38ONZ8/mu2chGp5H9Xc5zokHmvIREVrW3MywpgjeO5tNqg9cvCtNp9zWNhsKjtK3JYOAsE47ICH5eWovbGM6dUxp4L9yOSTSCV6PtoddQWsqIvuZqqvgHlvYYfD4fgXSNADWctvN02tVFbNmbTV1UPAOO5tMS18pm2yyyjK1oBpmMxGxKao7Q7knjqYoX+XnMTQRkA4bB80CS8BxoIUAmluEZNBc40RxejC4rN3qncHDQXobImZiDk4ZAuwvnD9+jKX76L3i71+f7twCvM4D1hOfjBE7gt4tZs2YRFhbGW9+uYY04lHClHemFt9hl/yiU5ub1e7D4ZP7xxK2dhEGhtDc6VUVVlZaYNiIyn6WRDMa//4NOlER3LwWAkJmDaJ/Me99vhYoDnHZ4DprsAc1ABSr7pNsQJQmpQ27bqZBv8/Dlnkc5Z+h9mAzdvTMDI5L1dgUjmhZgxcGnGBAWy/UDO2m1beGjeTDpS7LHrCLMEsvJA65mbtFCltcd5fXDf0GQIwnEXooqHp/ITFBkNJMJ0SBhCjKAtno8vHTv7YTXV4Xq1Vs7Z5ZWQ/dgUqEjKLVLmqJBVVjbKvHsX0chShIvPLsVKvU4jh3r36KpZQXp/RTaj5zG1Zn3ES5FES9HoXkVGp/6PJip0523RAmYgBgEzdvt+GXlH1FY+Aya5ic6ehrDh73H2nVZVNnyGffVGE4W5/Py5U+E6md6sykw70f0ZQAbSEqYwhUTuqRGjyoj4/4lxLa38s1ZDrIn6EtADe0+1m1cRazDRHqGBoXv0T5wOqYpZ3TrjybLKO52LF4LbPQRHR1JTJ++ofLiyQLeXbUIooApGGwomXZhig6m0mrwxqinGJulG2EtCX2Qxf2k5+iqwt7Dh2n6/HO8Bw8y9Kef6Lf3ENfkbQCHviS0N2IyfZ253Lj3YXbXruLRSz8mzBHFtpLP2GnIYs6I00N9OawKrFmjMHR8KglpGaw57CVQ6yFgdLHe9y45UiS2PcNodZcRGXDR8MGHHDmqZ9AcWLeEvqcaEQ0BtqcM4U8FH7JjpN5H2WBg1vKfUXKcvDzwXqYYj6LUHURC4sO6wUSYmojqrz8P6p9fRDTYaXrlcwyNIgn3XUQi0L4hl9al7UwddCrhs8fQvqmS2sV5OMZGUv76C1i8TaR++jnmXsQifyvwOgM4onpmrv094oTxcQK/S4wbN45PV++FVmiTwgiINpRAhzKJgEGU8Jt90FUwNchgqLNG6qaFhkbqUSsliWacUVbsvxhwu6I4KhPZbKdZkWgYMgavr50pO1aTljQEo9GCpsgoioKq6v8qXXn4fApP7tvAW4cW8PzUx3CYotlZsYy+0UPQDLrxoWkBNCTMlnTOTp/Q7ZiiICIJYDJ0GhczUs5lcck3jIycyKeX30/y+n2/er1ERQE0XvvsU+oL8lBVFXN5EeFuJ5b5FzNz3DgWP3gnUmIq+8/bT7O3mShLdxrojjTJrsbH6VI9Cy2JlB4sInPYAOyOfBLGLGLF9++C+RAYJUwJLTQ2x+I1uvDiAhFEqRFRCnThYOhQCdUQBR8WaR1iu04mpaoBdu2+mLa2PaHjljRsoWDNKGJEaFMTSQ/Es8r4A/d/eRLO2jBmjUrC0RSFkiLzcfXHALR6jg1WjJT8jEqJInNCp3aMPaiv0uD0s+RAK49aoLHV1X1HTaP+uXnE+7diCPQFXsTVphDTpUrmGX3hDN0Y2fbZGvbuaia65S0yw2L48qw1ofTm0D0ySwhWjUBbM4JgpPjsc0JleXOn4PtjKt/V7wLd9mB468+h8lE1G5m04WeO2voAM4iiu/5LiPOiwxLXNBxGkb/wMKjQqkLrsK387Z77SMhr5ezEaMjVq8qeKL4LXMpOw3AqktOYHv4+Jxc+RZs/mwWDbBS7B7E7XBd626fGk53ZSkNePv3bZIojskACjzkGa/AZdtfogc7ewyW4dhWh+pqBBKrydvDU4ZcQW9JxmG2k5cYxWPUR8+rbRI8YyG8dXleA2NTfZprwfwUnjI8T+N3iqRvPJfqWmxg1/wLOvLDnpY1fg6qqvHzxmZzV/2yuvOi+49YdteYHNBp4IjuDawtUWh36y/RQ4DATL7icmWPPprm6mdIDBWxb8CmgMSpqNGfPvJWHfn6Ia9Y+1KW1RaFvt435K38YfH6PxxQEfSBU1E7l1Zs/jwFu5JpJVkRRZIQikSv1no0BEFWaD4An7wBan36IRgNK/0GcfNFlDO/XF03TWCx0+np+aXgEOwN0Gcj0HwAkZOqEVo4+e3FYDyD4hqLJ/YmPPQtX00cMtKqMbZoGYe1oPh8TLX2JuePqYw4B0Fz0JZGf/IU6313kF39Ba/FD3crL1TgEYyya6sFHFPPHPopjewMr9j+HcOgTmmwZFB4cxrS0Uxmz7xRiLmhne+V2zhhyxjHHEgWO4WuxmgxcOyWT0kYX5oAZKiA8uARUuqeM6m/fIl48TF9pq35ZgotALiGR3mBMk/m7/AhoEONK4r6vbkIQBERRQhRFRFFiVMIqeD5A7U49WDcm24D5iG6guGYr+GzVVCaYSan1wUn3gSKDJqPKAfaodq6L0HggmInaLMR0O74aVOft0L3RVEAQiMt+n/oj19BmHE94YBuxtmj84yZw6mnDeOmS6xENSWiaG/d2GxUn6UbDEUc/MmJf5pLDdVwdiOWHNJkjBj/IGilT4IG5D/DUFfNIjtAIyj5S3+cC0jquRXgbgbZwGj4qJ2Bp5+i0+yATHqywMvfoeQCYNCPTA4Opm/MIKbNG93pdf0s4EXB6AifwO0F7Yz1hiouhA9J/vXIv6Jh9lu7aCRcdv26VoB/H3aoAAhnl+szT0aCw97WP2K9+DprOWyFKdiTLBJweP9a8bTwePYvlntX4NR/TrROokKtZ5ixmWNN4UrdaWLY/KEQnEBQ40z8Vt0R09d3sLF7OfoOJhkYbFxib+X/svXV8HWX+9v+emePn5Jy4a5NK2jR1pa5QaNHFYXGWZRddFllY3BZncXcoDlXq7i6Rxht3OS4z8/tj0qShadl9nu8+3x9sLl4lJzP33HPPfSZzf+Yj19XQkcwH7wf4yPohFf3TIMnOGSsOAiryceyOx/QojmVXrF/weyJi4rsKMv5RWoOntJY6g4XwifOQ3CE2fb+s65oFFVKKRfq73Pibm9CZZ7Djs0IOflcJCNicVmZZ9bz80n4EAaIS3LhiIznvrC+7+ti1ZAVqfBnvXb0egNq/fYslydVjbtd9+Da1ew/jDszEr8QSq3+aorxnsIXpCH6RjTHcT/KkOiyRLoZUhlCDfoobz6QmLI5Fe49S3FFEtus8jPaRWHUKzqAfa50eRLh43MVcfJIvV+rF+AB44KzBADjbmuFFkATNwKj/8UfG63saugUeLUH52ALfG1pbuq/3oLuos9S18//HBAMjZGYAyd4LUBCpnPcD0i2aN2/atEIkUUfjZxdC/U8ENi3HIO8HQD5vOaNyJzBCVsh8cjotEVEIoRBM/7HrnMd07KTOCiJXSEZUFXITp/LykfEMCWqGlIhC4BhLqFyDLGshudK0S0EQGNDmZ2iHwCVHJdKVOJyLbmS20cyQN1/nBleImDCVpoYazAGJ8IwELvrzffDEy0i67vJSU3gtwQ6tQql0yp1d269wiAwLDKVUqmdoSPtbS1gw6KRz+muCqqr4+3I++tCHXz8qDx/gy0fuwxEXT1ruicyTRTvr8XuCCKLAwHHx6Awnr61XUBFaTi6rfgyCKqMKEo8VNBAu6UhpaMMTBhYniLKKJTydIVNnENcvhfRhA3jn9q0Iwnaagt8DMMWgB/SgHCJdhJvsdtL3X4mo6KmztCOq3UbHMQ9EjDcMGEpxYysur+ayTSOcLnPLl8LuMA9ClJXDknoc2VknOiMaFVf8lTarnWifh4qQdgah80xOQcQrQ3hGNkZFpuo4VS2LV2RMiUKrzoRBjsKgd+BURFwubYGKQodOFlCb/KiALVrBKPcMJ7SbN3MCOs/hbTyKr/IQu5dqnCCmCC3voiE4gGUBK/33pDIE8LcZKVmchl6QmZVQhNOSRmvzcGR/PSoiicH+RHm0MBYhiBCsqLJKiCBPPfUUwWAQSZKOEyHTMDe/jhFrjvDj16918cQIxw9RkRkqRTLQex+BDfcyUpJBD7td5zHKpnH7B2tUJh/+C8pGhW4tY7UH8VuiEuShxEjGvfYpyYPST5iOoNdJxZuDqIg1Uaf/CgBDkoDqAlGvsnnlAACsphB2g4DPUIDhmD3z4zz8S0QQBMZKKubGEK1BE/+87nSsYhQTwi+gNGAGDHz5QB4G4RDxiByN1jF5+TJchkuYTQRzWUaJ3k6eWeWqV98iy+bA7GqnMTIOISKL17c2UeDbTrIaiUlvoWr4jzi+VzEKHvLdL3CzqEff3si3212Ag4MH2jn7nldZbIekgldY9Pd9JDiMZLWkEqn/Fou0meQNsHlsBD6TxAZviNESTJKTqcPCoeGRnD4h8cR751cIOaigKCo6438Hxwf0GR99+I3C2dKp0ZGQhKulGXtMN2dCwBdixbuHu35f92khN706rYvF8+cQR6eiHqk85fk+3/wt1pZ1uKKuoT4yjj9vWseI4RcRl5lOQ2kFees/5Zy/3kFCZjcxVqRFR3hgOlPOuPek/Vat34gpO5LRv+9dLKt8cSm6TdVUJDTiKLehU2Bfuo4Bed8QZlHxdjRwXr6JQ0cH8t1rJz/PXx9/EckcxpN3XHvCvjvWb+c7f5CC+dNO2Le/rIVNa/eRfd0I5gxPOMUMaVi95rrOnz1JtFAFvK01mCMSEVBRBYGmPSuwfXcpEVKQKzIz+LL5OUKSB/1IDxdfMJeih5KZvreFqogwTEG5q9LoJ3kAOZ1CdH956Bwkc3eejqqqCIJAyd5CVn91mFCHDp1Oh8/nQ5ZlHA5HlwEiCALjavZiklVcmUO75DmOeSNUFfRtzbhLTOicCTgSwlAFgZZAOI3VSSxu+wM6UcDedAhRCSIvuAZRPGb9CZ2qpp2mzFevEeYLsvDBPxG2YAzXXnI/SlDB2dJO5Q8L2bf2By7LceMtjcHeP1fziRiPGTDadYdqdyF5PBwefwat7ADCiK/3ERmKw2hNBlTaW3cSdJvpUCfQLzUV+YiRMDGamKRmakv1pKc7UKtd2HWt2A1ga9yJjIBKBE/FfsSoajcRup/4adAkSo0WBpce4vCA4Zx7YCtpvkwGq2NZZ91PQ+67GMNa4QIRf3+VUUKn8JwOsEH10BCLWudRrk9juW8kcYYOotUWAm1QViuT0JpPMNyEI83HaTtaGRk3naClhOuyHiKU/yBnRYk8c/H/awG5/xx0BgmTVY+z2ffLjX8j6DM++vCbxODJ03G3trDh0/d5+0/XEJOWQf+xExkwfhJRySnkTk/mwNpuAqWiXQ0MHHfymPzJ6MnX1xfwXsEq9pS/iUGKRAo5GbtvF6ZDa8lHIX8DZE/RhOPKDxzpYXwoqorYu73TA2vq26leeYTbZvU/4c3c2ewlAnhtzChyhpRw1cE8hufJ+PwluP0g6Q2E+1wMk/29d34MgtAzV+M4KKr6s7qeboRC2jE63cla/Az+waj6I8TFzUVFRlVlvO1HcQcLKdn7T3JmPKmd09OB4dvb8UoiB1JngT/AxpS/kGcJsfXirdiMNububyC9zs2AutYep2joH0mDomnLIP6sIkkQ2LdiFavffVEbd9hMbr75Zp5++mkiIiK48MILUVWV+Ph4RFFk+5dfIg3PYc6br/V6Oe0//kjNX+/Gesa9WOdrOSM2wHffpZhDN4Ag0rw9H1wyw566/aTTsnbTB7g6i52cP+7k49CzNC/d2LU/WQWdrNIv7CKsU3s3Iou/OoOMyi2sLzqDlDnaYl8XZ2LX5ksYNHoUQyaOpXjtBQQdbcy74CsUWWbjB5dTbXkFo8nA7xbcwOM7V7I67jPur7qB05zDOLqsBLvs5uKsIu6Y+hdePfQIR6JXEF31CaXJDyNYJzCzcC8dQIlUx4TQQM50j8N7OIb8fh9xb6qeqMiJ3OH7DpvcQr0xEkkXImliA/4Vycy3mnk79UkszTI2n8qgCh9ztvyZVky0YsKRVkO+Pofphvv4Jr+RW9pMGBHIOiez1zn4NSM8zkJb/S97WH8r6DM++vCbxZgF5zN0xlwqDu6laMdWdi76li1ffUp4ShrlIyYx6OwYmr8qBwG273dx2OfoQcF+7AXV0+rRjI+XhkEoAOmT4HytzPBPK64CRat0CBqzkXVhLLz9Fgy622k8WsdHd11H/gZN9C0i/mdJfipdZbunwq4WN1+ubiXeYeKSsak99jmb/UQA83e6mTn6GQRbJD6/SIMhGt28P/DwhWN5/onnEYr2nfIcqgqS2PtYFHqSpx0PT5tm1Aih3vefAGMeAlBDNJIgIYgiUlQGNaXVHG4/QtHaz6m3lzCxXWaAJcSuEQ78xn24ZcirsSCqdBHGpddo867qVZruCGH7ScK8TyRn1AAaBvlZs87U7Vk4DqFAt15MyLkas/l2JEmitbWVN9/UKMCzsrK4/PLLEUMy6P+VOHzP8wTDffxkMTHrlavRiyAqEAwG0Z+kr5AeDMnR3PHWIp6/eH6X4SGIUcRZMzk3SuOskdTuxUlRFcTjRAPDDLOBLYQniXQUX4po20frkVm464ayq0Zh14/biMgaTkTaalZ8PR1FDKLPqMUt61ClEAeqt3D+tzrWztezOfxDtvnPJzwrF29dIt83p7Hts/fZl6Dxj2QEghzcdjU7zDkcJZVDDCSEgi6ijqBfQn/ExfrdI2joP52GUnhveDqfF/yZbdP/Tsbo+RzaPoHzsHCJWw/5QWZMt9FhEBgQX8yc9d3zsj2Qw8aaNBIPPMLQpAu4442r/oXv4teJiHgLzdWuX274G0Gf8dGH3zRMNhsDJ0xm4ITJhAIByg/s5YdF3xP+46fUHdeucbX2rzdYgDZHAFrLtQ0Hv4Tp90FkBihuZCmKfwx9n+tatFLN2q21JI+NJyY1nhFnXEt1QQGSQc+AsUN79KuoIP6C7gpAKtoCMys77oR90Sk21HoX89Lt1Hz1KEqwGfiE1dHTadrfzLDat3H5gijyLwm8cHLPB3Tmf5wIV522GMruf8368HgSsFhq0TV+2LVNBv7RbAGOwNEnIB5q2+KYl2FH0l3AlMmP8sSmW4BtfDL3lR7EcHsGDuHO27RqF8cNrbx7zz1E6iMR1M7x9MJgO/qseTRVtnN43adIVu07ufzyyyktLUUURTZs2IC3U2JelGVUfe9Mq0A3VfrPjJzDUck83s/EeJMZm0/rS6c7+eNWULU+BEGgsb+emKIgghhBkm8QQx35KJYkUEvRR5vZ27CXK5ddCcA1be3cfutRrQ9FM2xOv/pCTDYDakgm/5slRJ1uRMqI4PDW3TQ113DGIa2y6XBSPJXEM2r8a1Tve5tm0zKkUQqRTkgLxeMU/UTXTaHz9mNc2VD0wTOpjlnPj3V5AIz1HmIsh5AUB2nyaNS2IBLg2vUuqYk5Xdd3U9Fb7JJyeKlcJipUzDQhnDOStkO1low7sSnEulgd5XHdSbk1YdFsNMyERBgccjFCrD359/AbQHicheI9DV2hwd86+oyPPvzXQGcwkDV6HDePGMOnxRU8UVxFnEHHO0MyMInHykSPPfzUYySS3L/zDYrbVnNZTfdba0NZGbG1TjJ9WhjlwUOPQ+KfuLrUj1RUxpGVFbSdn4l02mRST5uMCmwobekRvimzguDzs6uosWub2LkACYL2ORI4WzAw+apcmupdNNY5UdEYMlVV5WhxE8MFgYY1jYCEqIvFGH4r59a9QbMhEtlrQW1uRy/IrN62EL2tW8Tu+MebKncAPUnOjkFRf/5e3w1bmpbkWlFbxrINZd1rsNBNwiaIXbJ+HN7xR2TFxy0PnENIDhJSQpRuX0VmzTPM1nVws7udd+1hpGTdgDV2EIIgcWTvNo4WB0j09mfxpg0cjZapraokITOc+qhub1K7EEFFfBKJwxM4fGArcBY/rFyLpKqE1bQRI3Zfe5IhiqNRv+dYhD0jI4OMDE0AbePG7nCHKMsohpN7ProE2H42QdnnPAIHynnxpge4/4X7tCanWFC8IQ/lHWW4O9qIKdJKT1Slley/xjFo7F2IVbvg/blIRhMlbSXd15w0suuzEgggqzr0pk4hO53E4Iu6tXGmnjOYVUu+hs70pSHVdQy5vhCAmMRX2LH4AgIjmnhjwyN8JLiYMv1W9q2RyXbPwKw2U+ALMqp6DjPrBkPMn6k3x0F0PHGV+zlX/ByMnwNQMfhm0vRV5FZHcrP5dTZGiryqRJLdOpKBZTXUtPj50/B32VXdzfr72EEfh4JOioJ66n6ncv+Ap6mJjuWLjQ3oVYnYWAdFnnpev3ktZ96cS+rgnl7E3wLC4ywEfTKejgBWx2+fbExQT/a687+Ejo4OHA4H7e3t2O0nUfvsQx/+B3DA6eHcvcWMdVj5eGg/dCcJO1y78WV2dLI5AkQE7XxW/FSPNi06J5bTh2IPqgR+qgAgJMD4OafWmohtDdEQcfJ3gE0rnZhOXqEJQEBVuSPgoV1UmePRY1dFQv5DhDzdFN3GCJnsC4+ctI99++aCMYw7bz5R5C537W4akCiZOJh3Vm3n49VVpAoGYocZCbOJJK4JYgj965oaldGHeeqxPwOw7r1HifvHZ6C3kH1+cVeb73fOpTrlD70e7zc20xFxmJG7d9O/qBivwYjXZMLm8SCqCt9ccD4F1ioml172i2MRPYdIn+Pgi7owJLON7Hgz+/YdQBUlsgYMJGnf28xq20XMoFzW2QdyIHwCx8sE64urOb81C6n1MMaUOFBUVEXV3DmdvGjbq7zU2TJI7Fz1j8+gUQB3yEf2rpfZNVjigucW8fFtfwTgQL92wl16hgdlskw+JocXAJAXO45iUxJfRk8jXCehR0WPitzUQK7nAFL1TQiSgChq/47/7Bh1IbmHO7B3CCyadg0+s72zgkckvlWjJ89Y8R4/KCF2htoYYD9IviecMe1mVDELkwoZxl2cFfEEfvtAjIIH2itxRQ3A1tx9fy1iJrvJ7THXFtVIpGKjVTVy2oxZHNzxBWe2TeaIqQKrbKagNYxyQz2HojfRHDeToE7Pn7/6ipQBN9IWcFLkqUbUp/K7eycSl/7rZjPtDa11bj57aDvn3D6CpIG98Oj8CvDvrN99no8+/NciN8zCezkZXLK/hNcrG/hz2olhDYCXx9/IyrTTOEb34GoIQHGI4mkG4lJNiMtbiGwIg8XlBI47TqfCwuTuBNPjTRsBuKSyCl+EnmUZyZqXhc7QhwqqoiIrKhdMqmK23sQVydFdHhFBABFtUdm+tZqmrQ3cftVQwiwGFEVBlFVizcNR5POQJFh8/z8IKPknXJciixDIpt+IZ9m//00ibb2HF0KqQP/yPF748EnMXjcXI+DKHgWl2v72aBg49zTGJg/srAg59t+x6+mmrP/rhr/SomsE/syWz57XDA+gbchQLs18lvGBr/DIA4iM3s9Ffx+E39eGs72RgNfD0SPtRGUmU1dmYH8pcO0fiRg7lChZRQkGUUMhVEniBoOOj/d9yjvRd/HV3K/4fNFjfK8/xMb5P2kD7nzfev/2qzBKTjxr/FTFXUWVKrCmMgikI6Kw46CTkHQZSpzITc5FLHCu5O7YOV25QABzYsIxtQNRI5HbOjhmcajICCiAgtOqqRkHuwTUOjlWUGlWo5F1evLTkygaHU9sQip3LlzMpp1L4NnXATDHSdR35qkcNmTQobPzrW0EG63ZjAjWEUQkKIjUxqTytX4qf8v3dFXjdN1PndIBvtjJHBiykRYhFsG/FotfOU4jGQhZaDcquI1Gxhx1sF8ZQ6soYBZMoMJhfYgUVfOQGTsKu+6RY4aHGzPPcgMqP2NnVQUu9U/q3rCimhuzP+eVhM9PvC+dg/n6mQfZnxJLZWQYldXPdO2LyTiTuPQzTjjmtwB7tBlBFGit9/xqjY9/B33GRx/+qzE1Moxx4Vbe3lOJ4eMyYox65l6fgzW82+1p1Rs5J7WbRbFQbgEOE5maQfbgWELJfjz7G3v0W7C/Hku9l6n9o096bqG6ijCDDre5CY+iMj2uPxICP1TnMSw8njhTOHU1NXjjrORmx/bax96KdkxyEzmDookK+7mrNhKA8KGDqTpcyqi0xZiTktDpzeTvfo/a1mcRzYdJjUlBVSXNGOkFZ1QcIvGnL/EOzCVi0Ehaf/gAfXMdwah49BIEZRgQH0lmSmqvxx8P324n1rYA6564hfDPV+LTQ/DhWxl/7o2cu24/a7gBgMdaSgGVH56tRFX0gBGIpWJbgJCkgxiIDjcQn5jco/+Pn15JZWsBxVHFhGIDRDsi+dKsyc3WthSSMWAsoijy097N/CF9AzXbw7HGBTjPcBfrlVEUD3sZgyQgCSJhFj13rMnDlzqDhZH9mFPwHgfnT+nhIdtX0ADFhbivG8zArN5DAZkv76WwoI0LX7uEVk+At78vRPbLCIpKe5OX5DIfbyxIILwzIbnd2cKW515DQiD50rlcdPafKa2r57lbryX9prs4f9pUrtt0CBsq38/sDqs8ua6Yl2UnN7x0cln5qnv0kH8tB4bYicmMIOFHzUvnk6DFJNI+IpqzT/Mwq9TDH3LNXNb0I7bR51EXHMzat7bwxwtGk6Q049wl4Rl8BbZhZ2NNnkHjY9GUbojGfhQu5CseHn8V2+KHEMoMQ+1n473WR2HXDNocYLtwMKgC2z9toU7nwz/iNpw+mWBQZefuQnRJLvb9aRo260hYrvG7pI6dQ9W+ZYw9e9JJr+3XDkknYo82/ddUvPQZH334r8f9/RLZ9mYlIaAWWPVBHmffdiIx2THInUyVYmd5qc5uxD655yLY1tiBqdF7yvMGVaj2B7kgT4vxDy1eQpbFwncd0UAVYugg6CI42NEK3bRhPXCsWkbphYWzGwqiZCE8M7trS87YGwltaafZ9yZ+twtnhwmPO0hHh5bUd6w3WRVJ2bEGGbj+jr9qOSlnaXyon/7zRVqD2lw0BBpOea3HoKoKLz3bDqwEQLhjAREt5RTecz5XykP46Mzzeea1F8nKnsXCRwoBPYIUZPZ1SThi7VQeOYgseVm6BqwRJz6kGzqqCJi6dUuU43Rmztl+PX/ePoMbfv8Sf1zSSp5PwlVtxlVtxpboo9YUzhO7KugZ5ZIoq/UQa25CFqQTQnNq5/yfKnFY6GR2U1SVv3yyj5F7XHjMIopOwC4KtMYbCZp9qG0NvPjybTTXVxGuCrgTDFx0thae0ncygMqylkjbFgyRG2bpcR69KKCqAiFZQdcLZ017aS1+VIwI5B7ugMMdXftMMiS6FRI3NSBOs+D3CtSv2MzYyA+h/EP6Af3i4KiwnLbAZkpHRQCL4chi7AeHEQoms3y2nnHf6An3Brlz12e09Mvg6JynUf0PE9ZJ/x/eDgFXkLQBUUiqi35BeOXjzfgVHSFJQifLyBVQQyVQiSLqEJUQhvi3yL44xICxvx1uj94Q8V9UbttnfPThvxoVXj/3Hq7g7OO2pWRHnvKYY5Uj4klyRABUWUU5RcK6qqoIcjug8qckM/+sM3IwlMrBzvVAUHzYBA8dRDDQ0HbSfoTOMcinSN1S5CCS0U9DzS5iEkZ1JT6G2TNo9kHB3vcYPGQdUVHV7Ny18ITjve5cDMAnN17eY7snpT/YtNi72fLLBGOgGTXLRoucsUtb4tXnf8QLKDaBK6Kruak5AV3GVbQnH2XamZo8SWK/QUQnaMZXbFIqNTWHYM0hekuDPW32CDZsdAJaBYiiqKyZ8z1HjmzjD+VP8U/WcEFjJW/NaGTYD2/xXvyzVGSls9IaS9CbQfEjc1EVlUBIYfeBOuoXl1JkaqawbRkzODHxVD0uhHLKq1ahzh8kZ7+LIwPMvHTHhB4tNr36HBN3tCH7WjGYFdx2kev/9mLXfkNnpUwoJHO4w40M7HX+bJFqqIcoC1uf/wGjJB6X/Csg6nVsO2hiuMlLnN4AVjMhsx5zShht9W6C05NoKW1j8I5mJEI4smVyp5wGi6A27jyEkEh889eYTSF+ME3gfvd1DFEPcCdP0mHcz9XG1yEA789XUW16pjnWcVXqp2S33ELU7msxy1EsF2sZrMaS+nkRlRRg8D+F2LaReL2Tcr/CgUEjGHl4V9flBKISUG2RBAURW4IWNnS2NeCIOgUfz68c4XEWSvc3/W8P4/8J+oyPPvzXYlVzB3/KqyBcLzHt6XEMtlv+pRI39Zj8+SkSQVVFRT5FX4IgYMVNuiHI37KnkWXeg6oqOIwW1jRUMzsujfFhAxmws4Jap59DLW1IikJamBWLsTu8InUuwMfLhiiKQm29m7o6F5JYj3XgO8RO9XCw4CICG/sRn3A2dU0fI6BHHw7NTWuJjGwCkokIv0Ibf2dfLW1P4b98LGbnQL5t9WAUBYKKigLoFRmvPQKPycp0Q7eq7qmgqDLvzxb5YJbAPwZdzfT+lyCarIg6M1WPriWUVA9HVcKijaSNm3HSuQPwen243e5OATYRQRAYddoQRk/K4Z1N77CzYichIUhEbDJjYn+HoegpAnr4/WdnM1U/mJdnb8U7F/wfDsBe3sYQJYTyaDw6fRDJOIbR+nBKuIqIukmsN0zjvoQA15Q1EWwPMS03FlEUu7wk/0phZKxBh0GG4QNODM/M3hAAdLijRf7+6uIT9hs7jY+GbxbycUEx5GoMrje/9g0Tx43lslEp6IsPQ9QYdpfb0IcEEE70fji9B0gzTQKfCr4AtDYTBcSnRbKuSfPUvb8zxPpciehUzZsX6j8ee3Q2fP81iAac0ijAx2Ehly/UK/g97xKY0DMseL6qhUv8kcVUTb+PvM8zCXn07BAMfJ16KXeIcSjGHOpb86gwdrAlp4XWmADjj14MiHjD9Jyz7O8AFAy4GOZq/e5aeTEzL173L8z2rxPhcRacTV7koIKk/xcYCH/F6DM++vBfh0AgwPuLl1JUWMjZiiYI9tEajVgM6LGSCKqKKeDHaTRTEpPEwdT+XHRU5o+A9b18ytUgqqpikbYQa3gBRbABArNUUARofuLky9JWFT7udzZwNhelayWT7e0N7Nv6OG95C7jb4UdMfZmdujhm7S8HQFQUHEEf8aqMGAwiNRs5G3j/hV3IsorOK2P2KRjV7vMOOK+bstkQU0pL6AUM4RD0GAm6rNjtOXiFIsLCIhk58roeY1yx5mmy4iPYnTKaI3UtAFhEEZtOxCAKeIJeWmQd5bUlTIhKRydJPYivACrqqymuLqeho5FGr/ZW9+iYGzl9yJ+72jTu2ooUsmCfNRT3uy6kHYlU7F0OKMiqQLnawWbTAQBiQk0gJLB8+SGWLz9Eb6i2VEMczP5+dvfGTsdFeXiQcvbzYucwB+ckEFY2hkIxgjF6zbDs8Bfxiv9qMO1ijJSJJS6dZTnRtGzdwln7W3EKmaTFW6lxtxGyF+EqC9DmsyDLMiE5qP1UQoTkIDUdPvxKFHtfWgOIHKlt5dOtZd3jOu4WGTvxfJZ98gFl3qP4xXCijEkICIRk7T51WcyYWhtIbG2kJiKGb7Iz+aajmQMbfeTlaLwaY7JasBuNCDodTQYDHXF6dCJ469rYvLWKkvpPOTuuZyVQzdKdjIi0UGuFNLfMtIp2vEOMWAG3uwUhWI0DCOkMZOsc0FmkXOkehWPw3GOOpi40EEcYGmGWqFNJmVJL2fJUZDXA1O3P41ETWJTg11J5AJclxKBaE6JO02qxeuHAkOvJyXsXfXgdiiwR5vXjPDyEoF/u1igSusNa3du6CQJ/bXwZEfEWVBXaGj1EJdr+t4fzH0VfqW0f/uuwdu1aNmzYgDIoB8sx3Q+tHOMEoi1v3kGEQDc1efPUuRhCKpPKFMR9GxGCPiwRkcyyaG9pnuhzEcNSqPMF2UuQ2ISeJajHPwr7H3ybI/HZTLxmJaVle9m5ZxFvNH7H0oZyLKpKQNCzeXsMeeMuJ2rBAkKiRJnHR5HbS3VQIU82k+BSOHu3hyingtMqIobpsUSbSEi2YQrdhCobkANmXMYQ2IwkmPZ2nd9sSufdvaO4NPsbVCCoWug/4isMOgt6nQWDZGHX5uGUC+cwe8diJo7VKlNKRiUSksL5x9Yy3pW0t+WoyuuRFD+qoGIKWXDIUTjUSLyChypDMWonRWqYqJBtknn3dwUsWrOML/M8vH7t6TS8vRihXUfqPfOpfWA7qi6EOqaN4CErRqcZFz5KpxxGRUXXUIlz5wFKfHFa2aoACcnxRPbvLu08UitTWbcIl66Q7dmalXHV0jTs6UbMA9NRVQUpuJK4Adr48794GUE0M9r6BaPDFlKo13NT9ECGVcUzsDaM2eEX8sep67nX+nWv99STtSbqQ72/qfZvHM3M4iu6fn9vZhjV0T1DOHPXfUtuwZ5ejz8e0bKBspxcjKqOqJISSsNEPriw24gjpHDb962Eyd132orhZrYP1O7zKdt+Yty+jRhEEwbRjE3vYFLc+Ug/I2Oz6z7Ervuqh4hhoy6cUUkfEbAZINrMz3Ft1dfMb1qPjIh3aDVCZyKMu95E0fcah0qE0UtspUpmbS3LhmV2edi2ThdowsOQmukMbpjY1adOl0fmOS929XW4YTAHDozhZekNJEGlJ/H/iYZG9/4T2/X8Sxe62gs9jjuxDb3uP9m+n+UInXQcnZ8VFUXV4Z39MknTevf8/f8ZfaW2fejDSVBbW8umTZsYP348c+fO7bHvo4/vobTEhN3uIhgUMJlM+AJaop/NZmPKlCmMHTsWgMajFRTt/4yR8TW0nLOQ6rXjSHJtxz1yPjETzycdSD/JGA4e/In2vGXEBF381N7O/a8Mp8muOfBHuCzowlKg4ygGNUiW34vFqGPciKEn9JN+zxJiAhLRHq2EM2tiPL87v1tifPWaiq7P7b6JXDL7Lc558R30YoCHZ+XT3LyWS7PLAe3RZxA8VOw7s8c5dEBkUx79vNXUrdeqKNo32bhs4BvsiUpmWrvIvLgQgulmCmoq0On0dIheanyNuIU29KqV6wbdwtj0UZj1JhrKLkDUBVn50wDKjkxmVuUw6v+2GaMhEXl0LVInm6gpI5qYs6dzoHY9RifIo8OYN+827fwVB3CUT6ZywpO4Gls4uHkblfmtTByaSv/zbwHg5XWbuPEP+XSYoSDFQGZrOs7sYTih6y196nobFVMdeBvtHB3cTrE+nGBlGUlRJvb607iuWcHjacIbdFNsOsQ5ng3QGV0S057FZkmioWk9psY3uCnzBrKjp3Hrusuo03cvMLlhCxCql/DdkHyu2zOZjLDhTNjZyuDHjs8ygsMbGlBHjifnlulsL97GrTtvAQQ2XbSti5duz3OjUDdFUKoM5Ye4oUwPtHC6uo2vV1ZzfkYHev1APj5Sx1X3TybMpMMXCPLFg7uY4DDzQlYsoWCID9a76YhJ4PIrr+4qg1YMRlqu+zP6tH6k/ul2pOW3I4cZqJ3wDJ6GPDIL3scpmrnK/VfEQhd6u55gtJl+SKQEIMVu5hOfC7NgJjFmAiIq/sqFlKfoCY84Dcq2dl2nJxjJI3ffzOniZ8zfkkxHvQ2rzsFF5QPYQ5A3DFs5Lfk+RnQkEFAtNNmhsTKZmLRKDjUN5PvSMyhT0lhun8+ktJTuCewsLRZQTpRh6iQO1ParXeXgXRu7fqg92nf9itolWtjDZFFP+HDcQb1sO8W+4+ULYhoWEibvAn59xse/gz7jow//VVi9ejVRUVHMnDnzhH2lJRp/gdNp1kpPFRcWSyxZWVnMmzcPk6mbAdRz5CcmxmirmOWbyxBEEXS/7Ob9ftVnnLPpJgKCjjpDFPvi5pNx6CC3p43ntNHnEpXYD9qOwvY3kb0uvN8uB13vMtuHHpzNXW8vZVUZDDabmD++p7x4Yv/v2HfgViRBoV/qRRj0ZhLDzVS22Rg+7B3aOw5w6NCf8fmquI9nCacVP0YMBDDgx4QPCZlPCx7t0a9DdnGaawM5++cz0leNJMjUuVJJRCu1jQWyjj/gCOSJFfgUGy0XjmQF8xD1CtIQGWdiAj/IEYgq6MRMpO/2IuWauF5WiQGaKuuIJJHMuT0JqwB01nCy5/6RgRf5+ewvV/Duoj3cmLya2CHjCMkK7yy4kBu3F/DCgcksDytB/pkXWwjqGb64gdxVP5C4VxMZrLDUMjTNRjxaxcy+N7NBUDHOeJNjtUL9c78hKSKXgM/PzuattMqw0XWID2pX9TA8AA44f4QkMMkhJsUtQFVVmqx1mAw9H71GBYJ6PSazGUUHsgSgcqi5EgEtedR/wRtsUdeyW0qlrlLH58zkc2aCAufOmMhnbxYjiCrfPbmLrOGx2MfHAFB+1I0jPIqoMCOSEoKwcPqP7fYuyKEg7X4nVQaZxau+BeskLgn+QOK6u9GL2kLsU40cVtNJCAmkKjKXf7GUJk8Z5TYtHJRtHsU7huFsjDrClc7lDG9/npS2bbTHf0viM0YSKKEqMgz3mU/w/pGt1OWspmMKlO0/k9a2BBJCJr6RHeQFhpMjvssTCR4+bq/AHzTjKjNxRfvF5NVN7hpziyme2EvuP+Ge+E3g7UNIHWW/3O5Xjj7jow//FVAUhe3bt1NcXMyCBQtOqbOhqtpi7/fbuO66S0lO7llG6//HINI8WklqQDDR4chFESRajHaSc080agBCrjbqXryaBaG1FJtTOG/YSzQYo3hwbR3X94vHt72M6p3v0paaiqeyEt+OnZgqq9HJIm0ed6992swGJg1J4W81dTx9cw6pST3dnNkpuWSnrO2xTRRB7izDcdhzOW3ierzeGvrt28Va30jGqls4L7EfSAbK3S7KPG6uGvcCNx3+gNPa92nzAwzeF4vVtAV9hIOQLGG3lTJ4Yjxh6enUlRSjbnweu9BBRygVv2IhkHEWZlMbD3TM5ogjm9PUTQieWBIC4ciCCuFGgp4gQZ3A9jgd2SE9kwFSLVAGR5bsJffi0wDwyBKX+J9gyPoqLjesR28w8oplAXXmCL74zgffacpkOeIEyv98PnJzGRP7v0BVVTZlpaMBmOr7gasmPUq56TIO3zaNxzzDyZuTzuLUl9jWeifjIzTqb2O4n7Dk4+Y/kErhjlspMmnGiluGh2vNBNVtGEQD4YIDfzCAR5ARpABDo0ZR1VKMVTGjvzYCkyOGxMjuhf8YBAWEzvLYQKibqu76tRf0aHfLGc/y1WqAbi2ds2dmMD4zjfcMpQhB2CEE2b2vGv3eaow6gUFlPr5ZV0rM2Dgm1FnJjZxC1T0bKel4B2NEPSaTlaq5l1HfcZSQJFFrauVbfyQz4lwMaXGSJxnYEZhNf1o4x5WEyd1OgdWMyXEaxtBufN4AZYZ0AAqbB5CeWI8jEIdUP54B7W+z+3EH3tfCORgdy0VOI62O7uuLiamgqj2SEkMBk9IKiXKm83b1n3nSH0OrmIeh9W0am4eSGFaHa/jdiHICyxr3Yr5kQy9/Eb8RRPeHppOzEf9W0Gd89OE3j9raWt59911CoRDjx49nxIjeOTyuvvosFi1eSFOjmWNqWvX19T2Mj4MHPyMz0F0K57ObiDSUowoiqiDgWnYpERcs6dGvqsg0v3Etsf71fMJU7hv9ACFRx0tb67GXlKN8+RIGtEU90HlmJdJBcNoU1ggSKWknJ+8qbdEe5JL4r2XGSwIoP4tDm82JfD5hAQWFD1Jd/QmT++3AYNAqMgLtrTTv240/+Y9UBHYQ795GyJLB2ZGPEVywBP3IE0mf7ANy4IxzAIhT1B4lyVvW7gPgmxl/6nFM1X2bOEYhO3u6DdGgXc+MG+dT8MAqHPv0tI/JJ+Bvptncjzw1nTwnfPWtC3ABEQwyNDGtfwKtLh8LKyQOIZO2o5HFFW+jGoewtHYOFquPGHMTP5Y+zKUBme3e0YQ5a8mo3c2j8afh10exyDuRjc0bOd/vI/uiUtTQGNKiPqK0bgGCVIPinoxFugBLmI3q2qME1a95eMSjnJd7Tq9zftent3BUrCSuf06v+0FzuwuSNk9BWUt6HWe5ltMyhqCi8mn+QhqUHQTVEAF393yOSgsnx2iipNFFc5iI2grrTdrxx0q9h/slGp1OSvL87Iqc0nWsnP4TTmC8x0tLWJDY0ADKDCE2JGygxiiTG2vgrcZhLNj7GDMJkRMQ2YNMtOUwbkuAZqmdncHhHDZ0l77qdQoRtdM7fxMJqQJHtieijBOgBI668omvHEe8osMTmY9cOxgIkJm1E2+CQrM3k9db30PyXY7LPwPXmu+AYm6jhEdCV3Owv5M2nYo5bvBJ5/JXj+j+ULi0M07060qY/XfQZ3z04TePYzLpUYYgedtWUbVrKTEOK8eroAl6N4bYIjIz7YTHhSgpzERn8NHY+Azvf+elwmUjN8KHWVdKzZgYhh5yEub347Va0IsSgqpg6GjFdmgTba4xSFP+QVVLOc6Nq8lpWU+c1MGy+gE0tsu8M/0yJFWm8Oib6NzNFMZH0pidpRkdPj+S2QwGA4KgcqvjY9pKv6f85W9BEDTaakHUjB1E+jf7uVZK5rJPmnHYNAE3R0UL9oAOnd6EAl3U7QArxQRSrb0TgomdSYeKoi1eAVcbDU8eAoxgDEOxTKBm4CiSh/aDbxfx85S9Xvv8GRfKZVuXk1RUzndfGREUBVQFQVUJtWhJvSpwY63E9slncp3bj97dzIT8VSQ31WMr2cWaS8axoWUaoNFP6y0qVlHFo6hU28J443AQFYlQZhiiK8SaPZ9RYU5hyZEzkJXjwlcGyBBEEjpuZEjlPwgPKly0/BX+EX0PAPUhO7G6DtYQjb1Rxep7h6KlrwAq1z46FFOMVlpasn4puL5mRLxm0MqKiqKq6CURVVUJqSE8QRcmxYDi7OhSrkUAxGNc+RKCKnR5PnwhrZLkL6edzqBELYfnhcN3ApAQFsOyWwfz6toifthXw+6KNnZXtPH40m76/EMPzcFs0hGUVYbd/yP7jGA8XMv58VuBYzk9HmZ4uknw/u4/l2uNn3LmqmYGOGQ+miewwqRjjKR5XvToSDbA6qTF1NcMIbYxFW/KVgoMidChhWYSor0cHZyOfYPWr58IvLqBzDL6eE8ZhY56tjb+SFZYHKNqrsJfMYkmf4BD/T6kuT7AjribebTkbeKVAoK6V1kXupdkICSKWCbfw/MR6ZzvdPJIi47XQiGEU3gvf9WI6g++dnA3gq13ZuPfAn6j314f+tCNMwdZWFLgwYKXSuxY6KCx41j5qYre0Ex00mH0jnZ8vjgSIusptcVywJPG2+u6SzV1QohkWzW5sTUMuPxqtpVX0uF1M3HAQAYkZuEq/gbX8rsILz8C5eeQDQSRKPTPotA7lQpDOJIxn+IvrsMV48USPMpRWyP6iGRUn7craQ63E1yduhwOCBecBFwVoCqImqYtgqoiojCLDi7Wr2OxdyCV/jAERUFsFnGiINm0zP1jPhEByLGWMCSsALj6xIkKaI+D6nU/IrZaoMSGnigM54okj5vX1Sx4aMf/8Xfxu/3rcewvp7z/IFRBQBU1PgoppKCGFES9yNxDeTTFJrEvKY3p3z5HowQdA/5A9sUbGMNa3pauhGJN3devN+DXvhx8AbDq22mdkYWusB2p3svTSedqJ1a650AFBL1IjltCEGxsmHeWNrZFi2G+1q4ybCT5whBgIWOLlrPdeUnXLL7494NE+dpBlPgxZyFEwoKlCxBUAwqy9v0ISncWoQDJ3lxqHt9/wny4TLX4EndgtQ0h4NeyWcud5QCsLl7NoMRBNLe3AqAqeu5YeAA10IhO5aQkdqff+0XXZ69JI8zzyzqaDpgIKAoGUQR6sqNWEYtxm4Xrr2kF1cqQo0EGL1VJyZR6iB07RQ95iauQBS966zzc/eMxrq5FkFUqkpJQzDruGGHmjvqtlKZsYqg7SHRpLC+PvxF5loGcot3cpHuZd48mo5oETEomhVH7KQQ6vLW8kHYlE1qLeJ85zP5RE2/UTboNQ3gaflTi2mvJKS2g/cE5hD++pvcJ+LUjeoD2s6moz/joQx9+zRiTZmVM6UtwX/UJ++SAk21rRqCi0N9+Bcrwa8jbN4MdwXQOtfd07erEEOXONMqdafz4QkHX9lH71/Hlzcl4QzEUpw4l0bidsNrJtHsnk/rwdeQYLPTmcH/uorNQLDpuf//7k45dedBBTeY1JF/5Qq/7D2x6iuhVT7L85tOJiBqAKsvkDc3B6TAwfuuJi92ez87CLfaezKbmmSEadJtTUCUFxdGB5QIrkYNG9t7+/6BKP1nuQEm3cMai707aZuewkfg7QsQFRbZFncb45s0gGFm57SZq7U2Eal0oUUYIKkzzGWhJNtIUpuOKdR202U28AgjOYI8+BRRURM5M0/HPP8zm9MeXcPXGx1EEiU3zz6JNdHNk0DDaoxSmNZdikjeToGzh870X8XriKqrU/WTknUOJXsEUaOdvzfkYs4eQU5FBhaOI3LDzkBWBXeUdgMicwYmIiAhI7DxUQYQnlsjsvVCfhzMksM6dQYFFz6QJrwDgFVoRqyaR//1ObPUCkwMjObB/G195w3jyyCKc1d0qykYFJkT68MkKZXIZreYGcqKG4tlbiskdzgCLgqIqeJQAE2xBLRkaUFvSWdYhAzKDBq+gPsWBsTicXcFsRrRLFGTMx1WoJS3LumcZW1SHgSIYMpSauE04h71Dc62BspCO03emkth2gNl7MwATrySFEOwKAxsPsyF2CLNjFlFGP+Ic7VTaddz1fTNvTlnGkaRhJLwxgoqsDjocDtaPCUEQHvokxM33TWIv8Mewj/hdxQpSpjVRv9vBQu/nLJzQTPz+Myh0TKZ2+ALOC/0Ds7MZY1jvejq/akRmaARxzUWQftr/9mj+Y+gzPvrw24ccACVEMG874sILCQiDMT+0DIDqgufwGVQi/HYqG77B3/wV6GFefwMTMts5Uu9lfbkW0/bJ3a+AU9I62FJpJqToaXIH2bbyDHzGo+j0EeyunIq1fiRx0WlIBkuvQwJwx+qQIn5Ziv5US7wgaaWpSmeSoiBJlE/MwHrkREMLQFAFghYfez45k7ZmaOqwoguzIYgQ9LYRKIvG315KWuo4UOLxLlWpXbq7m7BJgHDXJhIBedn11GzNBVFEECU8/ir09gbCo0aCoKNC8bNODuHQh3NMjjcz0E6kcCJN+fEQZYVQs5/VWyqxDBhP7KAFSKKASZ9CVFClHxWUVfkZEbUOKXoeu7M0zonX59lo7lyMpkR0YGsrJcnYBqgICoyJ2stmcy6fv/t3Xmy9D0PKaHQp45kiyayO+xuX0cqexsVUeQK8kfwZmxy7ueigiWhJx4xCHf8YrFV2nBaoQUn1kH1xLsVrdHQcmcjHT85DEATmvbSR/NoOnps7t6ui5ardL2GUm7GUvQhoPgerOA5TfHrXNaeUXKV92ObjLMZyFlpJN9UQxjW0HKc44xdhu/0jdFZNVjgmGMW31zxL/qBu7Z5jaLJD6MZL6D9iBkgiP7zuQ9R5Iecr2tDDKDehn2S8gspHid3VUo8EH8I6uwXBaOPApr8gnqdDD1xot1FQr6M+qo7T1Buo1qaED+TVjNv5Bv6gDqM+xMCJi4kItTPdtArFH4bF3M7tK0Ygtv2TiCIvZxTB3OfuwtH0PLqQyuBKuPf9V/lqztmcVmtjQcSLhBSB7/sNwm0IoAgyl/ijWR63m5mD1vLjikcYuuQvTLz4/VPeS79K6IxgT4aW33bFS5/x0YffPlY9BID+yzm0huupSjzIkJAXUWcmKGssjK1GJ1YvmL0mzK4AkX6ZP156KQANbdXsLs1n20+H+bBdKyLdXGZBFiSizM08OPI1hFAyg8NfJiZnBuIcA6s//Qax6NR/XhoJ6am9ByoCJxIXdEMQtXPIimZ8BHweDPll+Pr3LkQXEXMarpZS3PpyKsqiaGtQMYV7ULX0C/zOGOqVZQgBmX4RmsfjeN0SQUVjcTWCOVSHr9apXYdOh13vQfTICLXLEICVYXbe7yQasnQmk/5BkEkQdZy4THZDUlUmZEVz799nEWv5uVIvPKs/yCtVVgodezHGzOWqn74lpqmJ5TMzyKmJpig2mXNa44nK+I5WBMJSdvJxlZkvdUGgkrDVqdQp73DhkL9SMuxlQnF7GIlEW6ONFr1IbMDAPXVX8W5rKmes+hZjQAaaiNK/z+GcoYgmle2qle0LFyIEZCbo4hAEgY93rKCyrR0VC/cvWcez587SvkOdEUExwoSbUSfeyqdP38QZ0g7m1u5gTWICB7wwsPPafPHlJF97PqFQiJKiPKK+DfKwqZGVGSv5NP/irjkQjQ0snPYtgVCA+HDNNb/lmmSayiq55ay/4At5uWX/m5y+XWHkM5/jpFO6fvxtdOgFvtxzBXrRyfCmHdjTSkhhNQVHp3f13ySo2K3RBCu3k9HUAW9B3ZxrWRJ9iLu21JFV3oaS+i25w6/Fp8LhKIVxzZAvZDCcIgq3aKGs93KGkRZVTuaZf+vq2/OhRF5dDI6mFwi5++FpG83vzo7l/vw87nvzadaMH8UZw15jYv0uLIVFRLoMbDxaS3jco4z7KIGaV4P0D3+axrZu5t7fHCLTobXP+DgpnnrqKe69915uvfVWXnzxRQBuvPFGVq1aRU1NDTabjYkTJ/L0008zaNCgU3fWhz78h6CkzKK8OMRHxhFMHvYxALr3biI18iziGAuuI3SYqkgKnolEf0yFP9AcHc+B7VXkjksmNjyJ5vwd2PetZHJ4I9WGOKIDzYwZMoybLz8Xs+OKrkqFYxB60dX4OQTh1IZFV7tTGCiCqHkRVDnU9eabDDTF9P5gTp9zD+loSZVli3+HTQlw/Ws/dO2XQzIvX/l78lpXMOKv5xLfL+WEPgq3RfPqB98x4/JYvLTw4yot9h4TXkL6wC24o64hoMr4nRVQvoMHhl3MhcO1xWfJyumoXv8Jff78ei0mQ6+GB0A0/YEaBCHA2fs3MfrAbjLKynAmxYDgZkGVnwmhIfxQcjWmiDI+tu2iRNcdhmnTReGzzuaLxgZGxGmsoqZKGza5leLw9QxyTibfUcO7I0/ngi8X4r7oQhJOmwTvvI3V6+buf/wDV3U1pVu3svhwCVmKxgmy4q0K/uoWGHbwKRbwCPfO7iDKZkcRdAgmB8y9DwFIyZlMVMFqgkGRudtrmKMKVAOKvoWY84dj6lSrHTAsl+Zvd+NJspK88xIWCDqKHQKpSfvYAwxO699jXmpTJfbHmDCfeR1m4KZkHTemvcb95hmkR40FWSbw0W5MajyzQ8MRRYEmRYc5eR3nWxaxsW4CvoDm3VviW0wYPnRWJ/KEYfzzynuwuzpI7sim1tKAuzTAU2teZ2tYCkvHDcLQnsCuqHuZVh3OlqZM5sbeQqLYxKO77uKdObf1GOe6KakUtGUBm9FZSxF0Tlwdd/JgdgKfejcwtmk34k4XsiEZZ/ZozO0xhCsbu46fuaEJn6GD1HPWQl3v9Pq/ehgd0Fzyvz2K/yj+j42PnTt38uabb5Kb25P8Z9SoUVx22WWkpqbS0tLCQw89xJw5cygrK0OSeidL6kMf/pNo8d6M7KwHY2HXNl3tBFpL4wAwchcxaGWuAF5uI7sOGr4vpTJZxyevvoG+ZBee5KF89OyjlK/fybevP8IV0y/HEtl72MSDl422PL7dshMBTfhMRBM/EwURAYEacwdJTQprPnizk5xMI5MSOkXSdLKLsSoYq3ZTv/xzerIrap9NtdpDWZEDPc6vBnr+3hsaA1pVwpbyjbz/3sOM6DeexLh07OkJtJW0UZlX2qvxcQwKSpfhccn559HmXcemhu18cOCLHu1i7d2LZHxxC5aOAHVPPsUJXp9OlkmDHGR5XgPC0u+1uRIEBEFEUGSCjV62eCIYIxQQ6W8h2XiA1jHR7B89rKt6KVZxUGANYmwHX1sqZm8kiO3cVnkJj3oG0JJWyoDWSIyYSXpUIPHMFuwurXz6D81PcwEj2dVuIyTpEFUVVJmkObMxbNuK3qMpydqSksi94ALWBxfjKtiLqqpMrjuCM2kOaqfhWXJ4P1HjJoOqdqkPA+g7Q0OtUhTF2TczZtQseKsNW5IBR0o3k21ddRV6oLDmCKYJqQzcmMALD03lvq+3oHedaJj5ZD+m42jSx+Vew4SD7/K4ZzWvZ/TntDF/YsdXYQiCkfpyGS39di57Vw3jQvOXvBD7Lq+KpzNo737M/VIIYSMUHg1ezTvYYbOTZ7NTVG8nQVdDUdYFdMScxvyjVYQdOcj9F+2kJC2NS53T+L4wE8hkQUQTM9Y3dRWWZfk+4iqs/A0dl9oPMCnfxLmbnKyP/p6ItHMZHVfK6Eho93qpRitxt3oH8bLjKiISd5P9xFHYDyYhAG/8dvMhAC3v4zdcbvt/pO3icrkYOXIkr732Go899hjDhw/v8nz8HAcOHGDYsGEUFxeTmZn5i333abv04X8awVoXdS/uoXHtfdRG28koLSNs/qsIkh415Cb5H3NPOGbbEyuwtQZYXvUWAcmIfcI8rrv+MswmI2XrdvDt649w4fTZRMXHIEg6kPQg6bTPOh2vHvyaD+xbTjmuq5b2Hho5HmckHWWwveKUbUJA8YVLiYpK5LOHbidjXwt1kfFEXnQ1itJZf9FdeMGxSs+axW9qiaUCiL08BSJmz+Sa624/YXvB1nxWf1jLzCvj+GLFVyDL/P3hh/lx82M8X7GQVlnkr0PO5q6O80EQGGO38t2ILHSi0GteQm94aNzVbE8Y0uu+gcJRfjLe02ObFyMbhkQjFNj4TLiYnINrKBo8lTSvEVWU0RucSPk7iJnVzDMGF4Pqx3PHN7WkRBwhfPRINBJtCy75dPziFs6Vx3ON5VMGL63HZdTTPiSHSr2eYHg06qAc1M7KJLEoj4AqsdU2iWBHG78r/pyt2Yc5lOTALMcxMXQQahZQqSTzz4hvUJGQnW3ESK04jSmdYTMTwZYHOr+gKgRBC8m55UisWPjUuJHhoXQKmuNISLOz3r+cxLIDmAJ+xHFpiJKEKOnYXL+V2LBWrsjU8kVUFBRTMRVKO1VHx5MbfQaHNgrIOg8DxiSgOJ3klVRjdaWjky2cH/lXJk9+nrOXfEJYWCQ2q5mAy0tuQQmfnpbMpiHDAdAdakV1RiAGotmr/46O0O8JsY7yyG1sSOmP9fviru9FNGTzp4wP0Yuatyvd9ym3YSYjEGSvfVtXu+TkQ2Rk7GHM3jYEr5Fl+Zn4vQb2Zk3hs3nnIKgqO1e4iNI/gFnaizrlrk4Vlt8omovh8LdwVwlYo/+3R/Mv4z+u7XLzzTdz5plnMmvWLB577LGTtnO73bz//vtkZGSQknLyN6g+9OE/CX2CDVNmODHKI0S5G5Byk7r2qSFP11tpYXkL1aVNGL9dS5ptMAfFozhmXMiCc88kPjay6xidV/OgWCqexFLnpTdYwu2Eyw6WX7EdRVFQUJBVWTMGVBlFVfhs6fUA3PDaB52LmYIqK+Q9fylbK6xkp5lY3/4U3sw6ss8/Xeu4x1uQwKbD27nvyHOce7Sa+iOV/Oi4HqZ27s5TOBXSE+cyq3EDFkFElZ1d24fedS1Pb3ycmSd5dgT92kIih4IMr6vB19rOqisup/SKTFrlTnKwjPPhgDbWnR1uFu5YymXjz2Td5BfQhTwoooHZV/YneUDnSd4/nTd0HbzjuxSfcwwBSc8fEmq56cpzUBUZRVEJlu1HWHI9qlezlHZm3MaSMoGHeAEPZrYevpC5W35kWOxKYkc3Y9q3g6b+QzCoOhw5Tez1DMK1uYrA/HkcOWokcVI4qs5MW6jnIhYjVPNx2OOUFKewLzUWvawQbK7BBEiudprs4RwTAguIVuoDVhqcfiTRwquDZmFKy0dS/eglP2uNZoyp2xnmMeE4VExQL9JmNdIo6DDKrSiqgirLKMpGgv5UDIIRBRAEIwaTB7OwgwXC95jkZ/nAFGBKlYsUXTZ633YA/LvKCOlUREVljD8CKRoGu7UwWvFAK00OI9FAlsGEY3cEW8K3oQpB9hSUaJdghoC5CbMrhcv7v4LTZOKT8//IzJ9Ws9k1CNUoYj93CVCAo3GVNkFxQJyOpECAyqMX4QB0TCPuvc8IO70/UdO9CK06PNVXsl6KZoEhi/7htZRWRzHA1Mw2YwvR/k3MppWtjMKFFUWRQBDYOTKCyNd0DD3UzIX36lCEZcA5DG3T7uVmaRDr4xOZPfR6YmPiTnl//6pRd0gzPpp/XcbHv4N/2/j44osv2LNnDzt37jxpm9dee42//vWvuN1uBg4cyMqVKzEYDL229fv9+P3dMeCOjo5/d0h96MMvwjomHn9pO+0paUS2d1NTlyQlcuDj/RjbA2RX+RgAdBji2NO6mhEXZTNUFAjlraYqD40UCpHag52U5dMfgAnngxJClYMQkkEOoIZCsOUB9O4SrHrryceU2J9Gq43NmzZx+tnnaBsVmeI6lSRzO2c89SNv3bwcndmMJT6x1z7k8hSayu/m7fLODUKQb27MIU1vR6fXIeok/F6ZokNNuFtbaA51gF2rDnl1YyKr4i/iudmxbPziU2R/Jc44HXNGn8vTe95mb2M1e/IbGZkd0+OcHY0NgI62+hoGruuOxR8ZHwd2WHveT0RbYniu8PdsCh+JQQ0yOUYCzsSurKLNqHGGpE/qj9hJrFVtHUGbsAE5cj2BYo1+/FCTFUdE94M32FqLXmjHHdIMwSVlmgHwEJp3RmfwsCcxjqz0KiyjPPwUM5+7xYk0R95PRTn0r9DCHTd8+SVfJpxHhSmOhJCHOm8pPknh29hYzvOECJOa2BWcQXNSGLai/aRcfguDJo1h0S3X4LKH8+yd3d6g65ceYvvGCsof04zDQ3XlXPLTP7lx0MMMiR7Enzefi9/YAb6dVG3Sxp1349UsuPk2QqEg33zwHi6nk/bCQ8zINTLmNo1M7OtbbqFwpI4Pw8/l5cOHKSrOY6stnZcenkKsw8zq9wX2LX+fqefdzoTzNEr/R247D8mahvXBzQC48p+G2re0gerD6ffEdNRHNpIckcCUmbP54eOXcZvDAfDaKrkmeyJKeC1/qYlgM1qOnhDomTs01TGWHY37MPtU3ql+Q7tlAx5a1/6dgNlCSpMTMVImMrmDtsomMrNaiTeJtFfX45YEVjgGU9l+CyG/iCip/BRZz2ExB2N9KqGDjcheHfnTKjn/jwHGtcB2t4czP/uCP8ROY3mUnvtH/wFUhWu+eo7LB2UxeMYNvf5d/OoR2U/72VICqeP+d8fyH8K/ZXxUVlZy6623snLlyh4iWz/HZZddxuzZs6mtreXZZ5/lwgsvZPPmzb0e8+STT/Lwww//+yPvQx/+DRgGRxIQwOQKsXdUJJZIE2pQQShoJa7CjS2gUJRpo99kiWUPPg1A0Zu7Tt1nVBI1soMDVe1MG5iASa/lNAnAKrmVRunUbuHMeUvpL4VoatzEM5e9T8bvz+KCOdcTQk9aVqaW+4HaJbLZG/bu0Iz1a8eFM3lYJEn2CPpHd9Ndy7KH7YvLyc47ZtSbmUTnZ8lAf28R6z58DxmVkhQPrUk2sp54HKMwiLa6kZx3dDuvzh/KmZO6Q0T2mHjcxnw2bt/DMW3WkF4PkXYIgVUfAZKeywaP4LKgB6KyYOiFAIQF9xBbv4nZi7td7gBc/hyXnTEO/8RhBAQn8617mPxwN7cFioL+s2kAqPaBwFau4Bs+5vyuJje6P+ELfy5bquPo/72Be1d8BnyGLtpBhF6HQ2khKIlURDuYNCKKluWfs1Ou6vImZdXDB45hRI38M6fn9MOzpxyK9qO4OrDlHUQymtH9zNUfCCmdRqmGY8KCqgqlLfUo/mhEYxOHzI1dbWoP7Wf1j98hSTqKG7RkVVIH0Hxc6Our+ETWR2sGzVXD7mFYkZZbU7avmCqDhCNrALLJwcbv38CRZkfS6dC5JZTjbN3Tsu+mPukCKl7eTEi1oXbG3qpaa/ns64+g0/A4Bl2Rh71mlUSzSqylnvxQHEqsBY/+SizBjwBY374DDJDsjadD8PKTfh/xnmwW/vEGtmWN4vbCZi7bo71o/mFwPXsiO41m+3BApb+9jBWfDSZlTxsAhXcEqTAd5o+52t/aextjmdRPezk4TRfHqvy/sDpKYPWkcL69+w8w+gOu//wFwjtaWbY+j0BtPcMve4DfHAwWCEuEltL/7ZH8x/BvGR+7d++moaGBkSO7SYdkWWbDhg288sor+P1+JEnC4XDgcDjo378/48ePJyIigu+++45LLrnkhD7vvfde7rjjjq7fOzo6+kI0ffgfh86oY/5UKx16gfIZg5GOhS9O726TDbiczdzUfxt52VfTL3d+174uyW1FhoJFGA5+QpjtT9zy3UHWFjYyY1As7101pqu9R+1JctUbREl7yEbHHKXOkMWhpUu4YM71IIpdkt8C6inJvAK7tvJn32YE7wimndtTfXbZmmz+wd+4os5HMgMI61w4P7C7iTx/LD5PEFuwP2G2c/jmmUepj66iJLKcBHeAOxeGUztgDqmFq+jY9SaXXx6PHgMqKhW+IqZETARZT/HDf+esCy9GEASe+/4qaD9O2XfKXSdes6yi9GKUJUVFUXzfs1xRXc3A+hvxJFzaRY4VKDpMcMkzWAFP2Gz8UVfhLLyOhKkWLizax3J3NA1Vu/moUXsubRvSyKRv9Pj1OlS9AZM7SBqg87YDMLimGQ5oOSP+5BiqorrjSyPb99Oy5Qh/LzyTsJCTs4C2tYv40t0GQIyznI8XLUIJBggGAjSXK4iqo/v6Oi9NUVVeyP8DYmdeaLZ1OOZP/0R+3kGc27aw7VA3HXpuWjIHKqpwRHQTZsVNmNb1+etdd9F+2r3sKNzAsrXHeZwztETeLxd1agklDSG8torlC8YTclgxjhjOzNueoVTch8VrQBCETnl4iWEDTsNdrtBU50YXtCEgMNbrZqJg4GbczI7djT1KE2/zFP0Bp/cpEEKIxhpGiB/SP3gaP/r2ItTto0J/mG1Zmjdoc1wTl5UnUmsS2DUkC1SVcK9CSAKXUaKQHKLzPF2X4G/UcVF8IlCCrWEEsywHCDSlUZ3o5+/C40i0kaRr55p3P8Uc8LPpuQ/wDTiXb92f4xXNrPpxO8Pn14C9d8/grxqR/X7TFS//lvExc+ZMDh482GPb1VdfzaBBg7j77rt7rWbRYtlqj9DK8TAajRiNvZfU9aEP/5N4dEQGf8yroNIXIN3c+z0n6gxYdEGU1CFEDp1CSaOLwjon83ITutqEvMXoCgJ4m6v5/aBICvIa6W804m+q0mRjBYEFYhILgwW42hs736w1ki0BoWtx3rclk0RrK47kiTilUvpPmorb7UZVBZCDyJ5WFEFFltWut9Yusq9OhMnaW6bFGElDm6a+esxUafRG0hzojxiqRkZFf2E8wS/riW03MHhgeo/r3plVRUlCDQBR3lgeuGYfcBe/3/k4kfUdtMutKMgICITptcVqwvyJzB3bTbtukzTN+lMZS2oQQujwOV2d1yN0eR6S58xFFAWCTzyK4CxE8XYgSDrcj8wiIlNbsPRn3Y17XTWyGodh/BgGnz6PgbLM4r/XUd3qZEb8Jcwsd9MUegEMJkbs7l6sQ7LM5u8X4W9tR/B5SX7lJZyWAL4EEz6Pi/B27XEY6fdyft1PjJh0AYcboK3T8DAGQ/j0OnyfvImKQFCnw2rLxWjvrlA5JvAXUmT+PuHvPLL1ESyqBZ2gI33UaNJHjaYuBBUVFWQmJ5EcH8eYcRPpePVubDs20qQUsFWXwLikQTy1cR56AdpI4TNFxac3cMP5l6OqKrKsoMgyXncTOh3IcojFS5YRFpBRTQYyd9bAzhoWHa5gVMytHJnWhoBAR8hCZtNoauoFXOl1pMTH0FopMvfcfiRNT+H7N3czodqPFL6965r0gRjSzW34JahypSKZREwS+Bxewmq6c4UA3sm7hwAfMX+qrev7dRnBEAoCEneoT2L2dVdizd+ehctqYUDa/QSEEK/2v5N/JFZyqbQQ7BCca+XP3sdJjJpLWNZNACyO3sVnGXp81RcwJnQEDiyESScmRv/qEdUPag/8b4/iP4Z/y/gICwsjJ6cnUbTVaiUqKoqcnBxKS0tZuHAhc+bMISYmhqqqKp566inMZjPz5s07Sa996MP/G/gULX4RZzg5w6YkaX8Sqqp5JWY+p8mzv3H5SE7P0QyQosNHyAa+eP1TWgIWLgA4Cq9837OvCfYEJuhnnPRc0xqj4WAcNZRgBuq+Ws0bX60GdBgb9iH9I50n7Z9BeTjCvUsR0XRaBLTqFBHQJ2UQJ1r5wvAYkS8+1KP/K4Er1Lm0BO+hQphI3MgBHF5WiNIhnzAWvy1IijeSR6c+z37vHl44uE+71qidxJxmZNElX3W1XbxuMbuqduH3h3r0Mcg2iPUt61E4eZzo+ps6aeJ3FZ+0zQMNn0EDcHtn2Mv6KUKdrOmzPNcCghVZaSJw48XoRQlJ0PHB/CuonLWAZ0MqggqLl2uhpT1DRyAKMnopACJE0TmBnYmxwrBwbrr5OT556n6C7a3Iw+KxN0Wi1paSUxlLTsbdXeNadPQ1kJ1Yx8wibvg4JEHkp1XFeFUzK/ZtAW8H8pHNKCEba0q/5CZ1ME9lXMATR75DrS7m8JtvgiDirtWMvJrKKvqbzBxc9B1X8g1irApHdzEfWJ0Uxb25sTS3Z7Eq/TFEuY0wYy0t+x7FIBiIDYvlrOyziElKRJAEFBR0P7YiREUx67XXaaopYc8TfyW7JhY5WmVI0hCC3iCb037AFq7HrETgKE2jFZU4nUBD6AhpRBI55BIKh4BQqXGNKCEboixR6dUTQDN0E5vjMbcd6FEhtW3J2aTb2gCoF8q4ZFc7n4+eDEBIkjAEAwytLmIIR3jvztMoLhxAkZLBaGEPNTkZtFas4TrfTL4/8jIcgbda3mJNVBzf2idg8ETgV48CsNrr5t2Y99ADelcWwwOVEPqNckhF9oPD3/9my23/RxlOTSYTGzdu5MUXX6S1tZW4uDimTJnCli1biI397Qrk9OHXgf4WLeeowO1jhL132nOpkzFUVbQFOiXSTGWLt6tUFcCRmg1VMHz8MKwJWYBWqaLJxyqAyqZFaxA6dDwUpoUaj3kANaioqBxxrUQ2mYm/+k+osowaCqGGQug9zbhjdWzSybAIIowSlw1IRFZVZFVFUVRCqoqiQnFrOVsaUqhWo4kUer6FHsq5gyEHXwFzE/ZLc3hs3SMsTP6KOXWjeMQ7B6u5m6Nk1vYOpu5xw4uXM0aEm4YIRDkht/xrAPIfziYoQfDZewhP0krmTRYTqqp2eWLETn4L5RRJKsagD7/exNP+lu6Natf/UFVwI2CO8jNhuIyqKCg+L77KJhSblneSX9yEK5TKoKEzcUSEIYeChDoTVz06gbsFCy9fdCNj9+/AkT0Cv6eMDMtKTeetc2hlbokBGxUmflVB/VenM8JmZkdmItL+OtzUURd5YhVTBOG0CT6+qbRQ03Rs/OEA3PBFa+fv4zHGNlERtYl7Sju9xHqY6KxA/PhFAGYCe0aMoGjgAJYXF2PFw4Sfc54IAtE6lTViBZPamtmpz8fgWUeREkVQCOL2uvm66eseh5wbuh2vK523bu8s8dbfSXka0B6CV8vxi/l4xzn5PkajJI+1pOHVO3GaWhAbBYTPBBDMREgqQ0whDjqj0DXNZJS+jDRfCzR6Sa8opylWCymGRAWxU7ZQFFQUNIN4TYdAVusQ7jraSnGCHlNLgLa6bUw/upNYl4R1QTLDbB5GWreyJnYFTQjsjk7nuqqZXddiKirkxg1rWXf6QBps4YxQtcRjl99Adt0EXMZWXIl1zKhdQok3k18mcfgVIjIT/B3gbgJbzC+3/5Xh/9r4WLduXdfnxMREli5d+n/bZR/68B9BuE4LCzYHgoQUmX/kb6It4Oa+wVMJN2qZepIocaQjGufan9hzqJCXbQKKFUzb1pO3XUWSdISajyK7HaSccxbRw2f2eq7afXUcKDzE+efdd9LxLPv8MO7wCC6YNvWkbVi0hHDRT2aoEsGgZ+6CyZitWrWKHApx7xdV0ACf9LuSyTEqshIk4Gnld/lvkJ7/OoIQQPEpBN8+xIbMdWCAFfG7MT51N3NmXc3YMcOwmAwMqjPRHiviu2IeqqoySNGMqVpVRVUU1GCQpDeX8Pbqp9k30M5MTmfLoi1sWbQZOkNJVoMMiTDvs7k9QkOqCi4dBCUBNeIawoRIfn/6OSe95JcWryE0JoPsc3p/o5W/3cyeFX7GXXUx0cnaQ3lJaytjdxUT0ulxOYvZmZPN7qGDmHJoP9ZwB7Fjug2isI4gMXYFz0CB5h+tmK69ksCbH5GgNqJceSlhejtpmHjztS+5tHAV+qzZHBgyhh2SjW9TrwPg8hEmpmQ4eH59MW1ePx9eMxa1pRD7N7fjGnQRceMWYdDpQZQIPDESSUxC2rxcM6ZUlWRFwaDToaoq3oZK+OrNrvGF0NHYkEaBUwBDA8Wqitm5AgCbXI9HEBgkmIm3DSM9ejRGnQMRkfatWt7DxFyvlqOkapOvhKwY4hNxyy7el6G/cRAj0nKRVVkr+w7IWFoMfOH6BhBokgXi9QomQxuifQfx3vFIJhFzhMDsNB07q4fSEWwmydIfQQBD+Bf4Uxy01M/H7bfS7u0AQxKmoMqmpJsgCaKjYwkrD9CuNyHKMookIbvtzApE8oWhlZkRLgqyr0IQoHJ9As1xkSQmG5luPoqn6RqWAjfEncdwy2Xs88US0PlIDEGVeyzBtqbfpvER1XlVLaV9xkcf+vBrRqReR6QcYP/Nl7EfMKJRFrzLa7jDwhEUBUFVMHuygQC6wgIUVUDplcwol/ntQU5WgX8sWfJUkBQZWTr1n2Csr40ywrk9HyDI82zivEtmA/DIg3fwpawRpKk6ibPOvFX7rCisW58JrgbqtlVTIY+jHT+nB/7Ax7pnMAREzCVV7C54mKp2N2OaIM7VjG9gFuOvf4hQm5PaR39AlcPQJyjE/nEugqhS+OYSzjBEMy5xCLKtnaGFW6kkiY7McwiFQkTX6Lim/hyEDAuivjv/y1/URr5dRB4UwSp/PKI+8ueX2QOqcOq8kS6V1uPcUYkREYR0WjhNMRgxCzpCHjdRiWmElGTgSwCCsgWnXcsfEb0CxtQBTL7kTlZ8+DmRopnTz7q1cxAqL+5tp9YeTeWk/hzIGsTp9QXQGYIfZb8DyeXi8kGxHG7OZWDy71Fj0wjp27DU/YQ94omucYqySMhsxBx1ogKrHAiw+53X2ZY/iYlDksmvqeFo/CgogETJSXbTFu5/aRbvPHg3L/WDCr2OBBmK8LLDtYfk1u1ckTKbfXU7CTPfQqQ3HvuMgZRs2IwxbASTL8zR8owkAbffDV/AGeHncP2Ey3qM4/o1r4ILwtQh5ByqZWBlGL8XqlgxdBBPCM+DBPmWLBIf3s2oezbSEWhie8tiovTJuK03kFbRHx8gASNtxWysf56c2O6Q42sf1HR9jji8C29CFCGzg8jqsbw45TvgKO6gmcOHBmIuc9Nij+Di827jipXNGDv//ir8owmoBobXziAoBrgu7mKuCj3ApLp6ppzyjvqVIiJD+/kbLbftMz768F+DKIOOpcMz+aaXfeYxkxBFEUEUkfR6LjhzPklR2iKpqipyKMTaNdmoioC32UTxojSCnDx3RBDEX5CMA4suEt8vLMSP7nmPtnGTcGUM49GjRgYNTu/alxLtgHrtc4eh2wwSRJFp0zX+g3vDCvlxdzXuVh/lN1/IHWglr67LfezZe4iSj7/BOnwebfmf05qmUnTjUGIsA0G6HlHXiNyaRsvnG4j8nVbJMylqCPYzXweg7olhJBrqib/iCgCW/7CL321N50CrzMBLs8kcGofLF6Rk73ZykhycMXUowzcfwq+cemZUgVOWF4udXhVF1kJjhUePcsGefOJMEm1Y+cvk8SxbsxODKHDvDZoY25Klb2IyVSPiZ2zuZppKf8T3/gtE/eGsLkMn8VB990kEgSnD6vkmo5A7kzNJrr2GDANMHr+JNHsV5rjnKS1/kwRrIQ6DxqshGCy4p1xH+Jq3aFlyKZHzv+jRX29Y/9Df2FuSDwiUtEu0tKoI0UEEOURceTFTI/rhfO9R5u6SGb/Iz5DdhQiCQDDg4f2l1/Npy16erFsHQErad5xZcBM/PvYqp+9ajiLABxteYbbDgGVMHMrp2r22272N69GMjz8++AgHEjbTYapDlEYwxTeemErNe/1DCmxKXsVdrihubm0nm2JW3XsjdRF7CVumoz06nBapnlliz7dyER0pWeewTVfNeWXnsT9mDz+NrWLuDh/m8X8idaCH/SXrsDa1UZI6laSgCYvexwOb78Pe4eRMw0ZM9kjm7d7OVxPGMTZfIrMmxE9tdyHZK8ALZ9lfoljuxx51AO9feu4p76dfLY6V2/5GK176jI8+/FchPTqKOxcuxtPRzhcP/pWopBTO/sv9pzxGEAR0ej0TJi1j+/bTkUzaonds8ev1GFHoVK3thqqoVO0sgZZGdPmVpGdeQQKn1mBJbaghYe1STFdcDp8d4fDeIwweppVYXnf7o2QeKubqTwrJzuxd5+LJaQNpcPpZva2qa1swKLP9xd2YfQo50WcQMNbScmU+asRRXK0Bsg6uhGE3En7u5VTdsxF/qZXqB1ZgGn09SvMWAu42al46nfRAOaVDutVKC+MkDuLnEtUInx4hXzqCQYUwFbJPSz7ldfaYJwSUUxgoxzT7FFnBFwqhe2cJB0WtdHbVmMewWifgk0MYgt3lzmPHvM3O9cvYW1jHxKEmEuPPopQX8O7dypa94aSUa5VCrvYmbA7NkLO1RmEIHuSfxQe5PdZHmlEBnKjqNCYOOZuJQ85m9ZpMLPru/JDwKc/Q2lhA5O5lONXLCJv/iSYFzPFhKC3/p2n/XqxWrSpEEATqq44iALai/ccaEtx2mKo1exBEleQxHV3hLEHxcNnwy7g+9SOCARd6o529r5/FVkCwn4EirMCv1zHHoSWJenfWY52heV6idN3GQqNpM+1mzStx3ZJdFKanEQMMqa7kg3kKggpbcLDfHMXDVR2UD/WwMXQR88M3k9jWRCjTjjR+GUeCr+NYOIzo6BuIt6QTL8NEeaBW2ls5i7wBbtrnhgg76CCxtpRip0CTw88Zl2bz7vo/UdOkkOoTudWUTLz5ckRE7E4zswrhyklhPLBQy7HZlDCQVWdYWNP6O17a/zg7bhtKWFz6v3Zj/RoRlfmb5froMz768F8Ji91BQuYAGivKeiRNngxlbg9PPfo2NvdswlSZMGq5u7CS1palXRoTxzRTBMA3YCxRUSms++R7DIqCTg7iba8nl2pMvhCTOyYSvewvqP4OvqufhCpKqKJ43D8JVRLJBfQuF60P3g0Dr+WuAlj47KJOsTUBt6KdW1YUZFnG6/Vis9l6jF0n9lTPba9xMdCpuRYOxxjxDHqGkFl7uLdEGHCqDsLP1UI7lmFBAlVtyHoDom0M4qA4WvYuIT2QT74+l0Hz/9LVrywKPDclnDc21HMDRsx2I5mZkaQPiWFIWgQA4+qDzCjzsXLvDkBLS+gx8ypcYCvGtP85Ggp9XR4DtWtmBeIDASZHq3z+yWR0IQMRosBi9VpaBTvJ6/TMd+6mJTKSdpOVc37qZmANSDm4+vWjYFMeB1obyZhxDVccXMrUjAfYHg/96uDI5Cnk7NiFwWRhQGo6lMB50pUk6d4GTzLT5yxGNHQn6hoMsQQCDT3me227g9wMC1l7FlPXMoWIUBA1oBlCG195gR0bVxOhCLQeVy6iqipZY8ZTs2cDEQYv572yFCHkRQz4UAN+hDUPIpUu4f31z3DR+mewKP6uh3de2vUMv/pZappGA+DqZyf+gZVUb66CXRrFgWlQJGabNu79zaWct/BOOvw+WuKauseda2asksfQERV8NSacq5Z285cAbCEOZ7vCkelZ7Bzj54zWZUxJqmCr14lqkvAM3cHRlclkDNX4cUImD/7cKNAJxCcYcXzjpTSqFvdkEatrLB96v2JWMMTr55/HkedXEqWPwYmfKmsLlUIVc5zjSPdoluauTCOjS/wcTtWMqaGuIyQLTdTlHYL4dH6ziMyA2v3/26P4j6DP+OjDfy3SB/Yjb+Na3r1mAVH2ztLLXvI7BAGcssSABj9BnR5fzkjqo+KxxSdi1uk7izW0ChZF7WS3tNnZH5/CjJoKgoBbVgkZwrFkbmW0fgemldNQ/Vo5qN7tRlRkLedEVhAVGVFREBQFRRBoDQ9HDPg5o2EfhxL60+DSaYU1qAQBOdKB68BWHl2isVDeeeedhIV1L5CiKBxveyB0knzVjoxi7oWDee3dOxhu/5Qyf4jQ0Rj8MVM5VhgfeYkWt1dDIarv34pkteIt+IEgOvrdvrRHbosCYNZx4OFZWE/C3TO7LsTgNpmqOF3X3P4cIv0xE41b1wp0TqiWPYkAmKQOcoUiNjMcny4CZ9BGq14jCiszq+yM62SaVU3U+t3dHRuNiKKRgwYj9VFp1GelMbqxjMETZpFkjQaaMAdU5r01DZdVT6s1gfbUj/kwFOIraQSqRUDdvEfzzCCgIuBRX2EcW5FXDkAQtCRdRzockR0c9GRxdtlBxDAVV0EFxUNz2TE4FaCH4aEIIgvnX4M/zIE9oT8vVL2I8GouekEEURMtLAhKfJx1Cx95Erla0QyKFdHTUWLLKCCf1/7xMklNw4gGdB1B3npDe1s26LSZC5S2oD6yDUuqnRppP1HtYFBFUvwKeAz4JJEx++OJ6deINNvD2UVWujWguxHhi+S9x+/hT3+KYHhDJKsKPDjzk+gwGIiQ/EhJeRypOEh6yl8I+I20bXIjipCoEykyVfFP6+cYW5vxizKqAGvefwU9xfRzaDkNVlHAEoohRU2iRfUTUF3YG99lc5rIlsxIAtYJDGgooKVjFTcPTeBM163Ef/N3gm0BEjriEQWh8y7pNmrV4/+mT7jhftb2uP3Cz4/9OX7WV09fXe/n6b3tz/vq/uzwlGHz1yMpyr+UR/ZrQp/x0Yf/WmTkP88gux+/rENQo1E7GSCB454OmnqpCZWi9GwmTc3h8nm//8W+V150Gcn795yw/cAF2bSmTaGg1crI/pMxdNRz1pefnbSfvSNHYZx0GmOeeYaJvew/0tjElENVhDd30FKpbfs5aZ8kij2edqJJW5wDNi1n5carL2LnxglEHtyPOV7PtGt64+TpfCCqKu7WBlpxEGsJ69HCpRx3vpPAIgo0ROiZ86cxJ21TefcaCr2TiJmcRtpczQOjyArVq5YRbQ7RUbwMjhZx2XU3YE/OZsPf7yfSUwA6PQcTux/cabjZdsakE/pv8wQYsnAHcroNT0wEnonnIIgieaFidpsP0WQNIqIQNGmehFwZkqUthNn6YdCHIQoCIgKCAO80GzgSyqa5ZRixsd3f95iDLcwZ/DJ3pFm5Yt/XDFKKKJzUD3u4A5tVjycxker2FvQF+YQLAaoS04n1uxhJHWO9eXTYktETAiUIIS92WeDx4pdZHNLYnz2igG7QAVRRYCgFFLb0Z7eUxVBJxuruzDcSoEuZRYCQO8TljQ9hCdvBlNhVoCqYV1TgrDLjDIugzS5ibvMSSpOIsHnJmFuJe7MdsUrCnW7G5R2M3mRj16AIBtf3o7q+nYAtnianNuctaBVjCa0e4oW9tCaNRpFULArstB7m05glSBGlhNAWnuE6lSxCtDUcBMc4Ws0eFL1AQ4dAEJl2Qwf7I9eBGkJQZfQdqzA4f6IVKLIk0erxsQsdE6we5qYFoeEoSRVhiCcYH2qP37WNP1/+TxHm+1f3/YJA/L/cz3HwKwpVcgrpbje2sLBe2/xa0Wd89OG/FqZL3+fMV0Zpv9y4ERJyT9n+ttW7GG88+i/1rc/Ohv17KLz5FozhERiio0i8/RaM+3NxK5O55MFxlN35A7ScOudDFQQ4RW6JHFC5YXk7jTFxhMfORNKbePXz/E7KEY0TRGpwM9Oj550/f0a4cz+6oIec5gCRhSLlnxkAlQPBSpwEGZg5gSV/298Z1tEScI99TvJvIbKgloyQRhBW9taVnU90jaU0M6TnQVcC/ywHXY9SWxXlwGq8BpUJhpFInaXCJ4OCjoZgFnu/d3KmaR2rQg7+vlLLS7hWWsED+s8BEFSVmu8eYizvYbK4aRcyaPG7oVNxZnrZGvZtMzJ8fE9DJ9xiYPfZIxm+/wjRZ13JqHkDAfAV72DR5muxBCxMM53BroCTw8Cj4xIYFvH3XsdasWozWxQLF124kJ9WjMFgaAOgwRpOrVHjNnp39CXIEwxdZFG3pcVxV0Y805YvRRwygk9GDeGFAw28EO8nMW04FEHT7z7Bnjai6zx5nz9AfOHLnOYwcX1OIrPtQaKO85785ZxbOe/NIhoNIlvvnXbCOBevKKXi23IAJo7IpP+lWq5Oe8TjOJ/7hDBnK6OWfU3FH2/H/+IBhBuuIvKtt4AmyqPs1LXZUCkgWpdNpTGS9CPadR4zPI7B4g8S2+Fhm72UR6RsAH4XbOL0057hps42mY4XECoPUWx/l6x5l9D84Bs4D9/AwpvOQdWJfNqhmdkZWStoYitbZnzJloMf801tFXtC2nmPRk8kxprE0Y4KVrg3MMxSjSFe5qAlk7kLvkD8jXgJ6uvr+fr117m6paXP+OhDH34ziM6Cm3fCq2PA1/aLzc2KH+8pDIHjIWRrHBWTLruY6Egt3+HgXSYyc+wMfULjBinXGyB0ag0YVRQ1ldyTQGoPEdcuQ7uM2ywSEtyoghsELeFVFSBWhShVwh+Mx1i3DbOrEJciYnaLBJpFEMDZqUXXWH+0izBNRdEMh87f5/RbQTBoQJJUAqpERN2xfArNOX2eEsSKi2erpuLXdZK1ASDjd2gEaGavBzOnllMQAEe4TH1ziO8+V2iM3AdoC7kuGMmxIqOmr+8go30rbtFMxbhHSDvjVqYAdcDOS8di2+MEPmdlajpeY5CysAb23vh7VMAXUjC7Ahiiz+s678SssdjWRTDdPpsnLrqfV45s43A1nKo4RxJABtasWUNZ6bW0th5lhHkP+zriGCseosKSSn2YmWh3iO3zR5C58SDb2ly0et2U6hN5VSxB7iS0M0oiuOq0GfNqIbnKxqMc3fI2swpfRkHgcIeZvyW30hZKo8p/HqUl+UyfcCGZ8RmE5EKNW6QX5O9t4BitXmjpB8hTh9H65gs0fql9h7YsG5jtuAQVPeD58GvqU2cTX78L85AOaI9BQEBnimDbiDMJb2kgUQkiVZdjdbaxftwcklSFOGcb9UBTSITO2/Zi+z9pO24sJe23Q6ecTsdTL2D2CDRFOgjJCigqAy1VuDxGmtgKwPSlF3Yd218RyTcm4DQOxak6CDhG4CBIgn8lGFpp9bZw6yNPc9O15zI45dfPfBoZqVUotbS0kJaW9gutf13oMz768N+NyAww2qFyO2Scmi3ArAbwnKIE9HhIZu1R7/d6Ac34UCQD+LolygWjEeRfMD4kEfUUBk9EhMbaOmxBJJPmDT9hf9W6SlwlmqBa2f4mYmbNZPRfXj6hXdKVFyLLMpe9++YJ+7TBK/BIBH5HJrY7tmECfq5RXfTWs/SveZQ7n52KoOv5aPns1RqqWhswiTbMulO/lYqCQHRWAhMfms7hL35gx+Zw7pKPeUumk59eRXbDt2S0b6XRkEb0vftJ+1n8Pcqt4I8wUDhwLOh1ZG1eR38F3q34BkUUQVWwKU4OHDbx3YodbHb76Wgt4pZyHYnyGu7ak0jx1DQwm05ZMh3y+wmJZjZt2oQgCCQk9GOfNBpPex5fXPE7LCYjGYt3EaHXsWf9Gr76toh4cwZf1T3JvbZLqSaS8Ewth6NJ1ZHRlAdA/y8WsG3Q7xlZ+ClRgo5P489kRdRE1v/uT13nbve5KBraiDfo5/Ud3yPbdiMZhvUY3/68BpZ9WURYXbe2luuIxJGZ5/Vo5yp2cWTUGOa8/jkZFYVcsOxjEGopz76TAWf/ldSmcM4//yNESeSPa/cBcGd0NTLjKW5S2IGWyzKtcA+D6o5yt/Qx8yNrUT/Px+JykjDwKgxZw/B2lOL31NJ0aAW6EjdNMjSlCmw+P5F58mYiLGbOC9/B2IrdHD1o4EBlNHEmA6oAMfOvYK0vnhqjnVZDKrdLAu+2d3DWWoW0FW7AwPuz5pIYFeDj9z9i2MQcLp516Snvtf+/Q6/XY7fbaW5u/t8eyv84+oyPPvx3Q9KTr7+SbV/2Z+ihjzujCJ0x4uMXNAHE5FTeEtJpXlVISyiEL9qIYBSRBEHTXREERKFTf6XFxR+B/S+8RUFkNKpeT5K/g8PVzWz44hCiAB1CHDHxoxFeXQyilhiKIGo/RS3U0RGWgegrZfPmVxBdLgy7y5GiRiB2Vrt4fQLQDznQuxHj+akci6JRXw+1SHjlE8Uf/yV0zoXXloHtJE06mvx45CnUflOMyrEkVxVUGBM5mjERYD7QCN4QRW+v6Sxe0SZMEIWuzyZEftxXCWIQ6Ic6JoSnuQO/y0tzs45QTSxNQg6TpUPEBCrgyytBlECQtARNUUJocWEyW8geOR3F56e5tYaoQ0c4IzQWY1ouAX8zSxo/It1bwzfeRNoCJUx35VMTbaE4PIb09gyU7Tq2TgP1FAZiu8eLZNHEMe+9914AHnrtU3SCwtG6ZgalJ+K16ihWtTBRethQfGHl5E6s5hXHPtaKs8j58RPIOQcPEokz/kJp6Ub6Ne5mfMGHHIwZR7/ff8GinXVsCHSX9PqCQaZ9Pp+Q2F2too8DRXYCF7BzVy2rvy0irCWEJPWsKYqcNoKEQVMJNjXjLWlASkhDlRVNsRmweZydX7me1Cmv4OzI4fwLPjwhlPHPpugTchV8Oq0axWW1klq7FZx+QKRyQzXSQTeqomJasgSHLAMSt//ZQJtNYV57EXNajtKiM+CRJOr0ZvSFRjKLQGcLEHJBW/1CHhn2ENk4KZ8LL8gq2MLw6UWWDrOhd8YTEvw0xNWQG/Kxf6vChTMu/tWHYKKiovqMjz704beIbTXT8IQkth+wYxKdHMtz7y7v1JAuiBxMlfhccKMIEGoLIPciDw8QL9o53xxO7PIf0CshDIrmg96g6vlxX4XWKKIfYY5M/nDw5z6E45B5PXGGFUT4XwA9uMdA/F3rqLcIGILg8Fph0j/QV1YCvSdxuqwGBv99PJV/XYPd2HsI5xdlqzqND781Bf+BTchH8xBt4UgpA9AlZSGYbCSaB9LSMQXj3sZf6g210Nep8CsiICB2/hQQCSFTGapg0UFtrF3LmwBYgqwITQGmUCD+HpMQhPwfT+jf15gIeOG1RwFNUE4BDjetokJarfWr6GhRorky0sm3dbkEwg3auczp4INIp8z4Ai9P6UpJKN+DooLSWdGkdPZ3RIhAPNCG3+/noUceoyAmkcKEFKxRDr7eVYoprx7MWgjsLksy89seY9wcTTH2HNpYyywO5ZwDwMdN5WwOdmCceA/WqnzGVqzmwKhrMVXls83pQzHZuXNXCUWBIPHeBtzWNCCdTHsuFr2d/Y37qa4X+OK9RTTvsBIGKDY/EaZa/E3pXXNTWOmgNToLWUpFN76IyMgORHSIGPj+iz8ilrgIq9IMrrbBIWqH3MWqVasRRZGAKnL65gOYE11MGDuC8LVVDE6I58XYzXxbew7Woy1siR3AH9rbabWGI40QCfe3Y29YjlQj48NIm2TB12884YMu4FlRxCJasDjfBo5iTrgciykGBIHKrzUNmqjzZlD/0RpMZS4+Dz3A1qkzmPZ9HC+co3kUfxjXgDHXh5lKnkzJ67rOCPHTX73hAZrxUVlZ+b89jP9x9Bkfffivx/w7xrPwsZ3Yo01c/MBU9MbevQPXHff52VvWYj4tlpsvGtKjjaqqyCp8V5rAVXn38/xVozh7QByyovx/7Z13nBXV9cC/M6+/3X3bKyxbWPrSQQUkCCpVRU3sXYyaZvwZjS2KMTGa2I0lFhB7iS2KiqII0gSEpbcFtsH2+t6+/mbu74/ZwkrbJLgL5H4/n/d5szN3Zs49b/bd88695xxEROMRs5m/CR2hw+w565hfUsvPHz0VoUWMxFq6jtB0o55KROOdp75Ezcxj/KlrKFn9DuPDY+BxSCm7h97VifzJNQ3WgSs2roMcdc1B3rlvGeeYreALtwp3uEX9h0WIlqBDITC9PRObNbLfMQj4YrFYfotGatt+vxLC10slbWJfErKTMdssvP9/dxEOB7n46Udb1paAEDpCN0KV0QWPX3UhgyZdwFM3zDioLFf/+WEWNw/Eh51Gq5m0CXdByNshLWpyyQvUliURGnUZA+/7FY/O20hUQQP3TM1nUL8k3I0Bxj7+LT6vlSqPm7G6ICL6oKoCJawSVtzEB+ycuUHwVg8nRS4FFYGKaHHQGNueNT6chI05KD1C/6pS+leVUpKQSkGmA69w0KuuhpSmBmIyS5iQt5rAUgfvjT+Hb5lITtlurP4SCnMHs17NoaDJDIoFolN4cdAE8GO8YqIwB3fzhqdlTYfqguSbASho7XTqSKyRrdyxWeW2ll1qs41gczZ7XTvp6e4LQFnsSPYVhtBNsUAK/S/8ebtyLwK1EWLuMjwY9g0qWyimOVLN8nAOe/U4oA95JaXkff0cNUCxYmW6ayTzExpYTm8SfM2khetJox76Hfj5PTv0cnKVU0gPR9GjBEDgMpvBDI6yuejCMMYjAcO4qHrta1rNY3uMl6FjP6SmsJjL37+BBaNvQ8Hw2Phpn56s8w7n9LNPOejzc7yRkJDAhg0b0HX9hDCmWpHGh+R/nsSMaAZP7Mmmb/by4s1LOPPkVJIT7cTOyDWmAw7BwY4oioJZAfN+R02qgkk1gbnVqFHb9gNYo6zQUq78h5isgLBiMcVRtnMN5uxRRBQLqvNOztgVYAmGj2ZdeTN8v9sYyIWgwuNnoOqlUvEhEDQ//AJR9D58OGAnDJOEba9htkao9I4k0PdkTHWVmBv3Ee3bBnFPsdh2Nufe9hDb560kba8dRwmE5+2hCiPvRKQ5RFgNtUTQtOqjo7EnFOWw2WOH56ayeCNoKKSF/LDwngPaJGWBJS+N2LtvQQhB1eZGEkwqw/unYLWasSWaAYX+49K54uLJB73PjnUr+eoFP/8ckkt6dt+Dtrlm5dN805hDI9lURHwMNFUiFJWs+iqy6qvo3Xclu3eOASDXuobACAH4+d0/B/Kbb26i+upZOK87j1mfnstvxjzF9X0nous6AT2MLxLCFwkR0CPctuY1Cms+Yezgl5nfYCxGNSuwID+VHfuqWbViFc6qctyamZ8tXoBmcmATEa7/eSO6oiPQiQ7Fc/m6+xgxzkaKo44FXxkZTyf+ZDMNW54lpDWzq/YbAjHl5K79Hl3XafT6mfPEmrb+uhQ/buEg0dfu3QqLEBub1xA4fypqdYCqjBRYBppiQVd7gWIGIbBoOwG4ctxonvr6bfLNd7Rdwx25Gnfk6g663X7BO2xQk7AQJoyZ8ae+3vqvw2ZzNO9Fhwj2fIakvTe2nCG4v9zOhOIZpOT2OujndTySmJhIOBzG4/EQGxt75BOOE6TxIfmfR1EVxl/Qh/TcWLatKMexvZ4qgjyx9jVMqMy6/joyMjI6nCOADR7fIa/ZWi/kcIlTFeXI472iCuMHvaqgFE3iFt8LfJI4g7HrBGB8EQWcFdQGdrFnfkHHk53tm2qzwlWmfij2Q/3LH3HihZBmwmnxU7cjioaCcuAj4zbjf09TYh4bmpazKynA4sXzSByZQNS5p1H37HbsensEhqqreDmwXP3+CNTDGh9D0lNhY6RDwb/w4BsQrkxaRyd9+V/xqhnEAh8/9Dfy9UwCFi8Ws5E0zdQyiIW1Q38C3kYjDHrL2reoq8nHFd+L+ORsomIS236BnuxeynprHEsbLEAcj9sfYOWGgQws3st3Q/J5cvAtnMVKSqJLCC0T1IbyyL9oD7bYTMKALzmZeNXcol/Dm6SqKk7VhtPcHhUUZ7GhCh8vDMnmvt3lvLC3Fk3XefWjL3DuLW77qFO9jTBkEKoQBHSdqzZ42ZCuE1adDN7lAAXWLQ8CiahKGFfuMr75dj/Ph9nQoNXp5Lz732Jm0ZeQdgEAiTaBzRGPuynAtqg+5Fh305qhYtG46SgBDT3DCSrUmWNJjDRh0nbjsU4DXQE9gMCKt0kwdF8MZMEK13pi0hMRmiB9aC61vn3cuedBzhFj0EuNNPfjejpZvDdIfWMGarWHLM8N5G6uIHheEkK1oSsOVOHnj9U+NvunoetO8oYcvNr08UhiS0HC+vp6aXxIJCcaiqrQZ3QqOcOS2PJpEeHvjWJOGjovvPAC48ePZ9KkSe21NYAk66ELy7Vddz/rQ9M0KisrqaquIj8/v5NyQTDk5c3PpiKiG7Euz+K8qJWYzEY12+29TCSGdpHYoz+TRo80kl+pRpolXVEI6Dq1S75ieX0FkQFVkJ9Lzfp1tObmMGSEUCRMQCgUF5dhMatYTSYsJoX6YD0CoxbJwt2jCOc56HP1FJw/d5JgS0CgY/rE+HLMjhnOLn0j69fvJRKpZbFtA3nObMY057PeVMxWcxm6uRr7EewcoSgI/dBhRaHCUiCDJsbhivbiaF6CZdOBUTphtxFZ1FwWh19PY5jpI7zNTUS74lFVFVWAph36Pp5aG+AjqHxNledVqjxAKehhO3ogB7Pagz6nFfCotpaeD41Eq9pI7YXXU5k9nrL+NTTGbeOPBdtZH1/L90nfc/WaLAQqzQv7oVgMo8dc34jdZHi9QodZ2BpjsoKI8H7BJtZt3EpGbBLnbDQK2nnik7ngogv5au6LOLJ7MfammwB4+umnaaqtJbvF1jM3bSQ92fDM9RpSQ+8pqazd/gYaCvE+GwNPeZuSL87D7vfSmLWb2z5/moTGBu7K8PPYiIuow0a0px6sTtwRF29nXIhLV2hWBXox2IpriPSKIjIgjtGnvM2fK4sZt8pDvbU/hUGdLKuKRxek/f1eMnMmApDUnEpkl0aels6Gig1UjWoiqIZI0xNoCnqJWGyUmnOAIorWnY66Zy09kzzoohQRbxhnZvtsfDYHv02pJLf0eSZWTGRfY9MhdXm8ERcXh6Io1NXVkZOT093iHDWk8SGR7IfZYmLouXlwbh4xBf15/70PCFmaWLZ0OQNzR2BSTUTFGUW+e9gObXyIg/g0Xn/9dYqKing/533YCDGRPBRx3UHObkdRBJFQE3HmcswT/4/+M1OIc/Vg+a4Qsz+txeTWuMIOMekZDBrW56DXWLD8cwA+/Px1lM8OHyv8/u2/aNtWzT3pMU5Bj9jYt6IKhJUl9kperDSq2j53+nOc2vNUvtjxNiklUaRMUPnpl6eQdEtPysp3snzVIraV7WOLvb1arBXwKc3srS5q11Vb+nSjGnDIpOP3+qmqakAxm4loYXxuNzan8fu+qtGYptHG/AbTkD74i9ehV5W0F3BTBN99XkaDKYuYajdNaiJCaGzwTKV2WTH5wxXMVgsqED5MEo+UzCxgG3k93iQlR9BQV4KnqQyvpwSvso2IKMIkwFyhYooyoQEbK4eCCtZAAvF6HL6YLMKqkSCtJrmZ5Jpo+mk7EFtuBiB6eyEOk/EcBfVDGx/+TRtRHBE2f/IBo1Bgv+TnPfv245S0ZBarKlqLx6impob6eqNez7XXXsu275azbtdGTopqSWu/O0BM5gQmZOwkULsOW/wAVGsM5o0/wfev7/A9cjYJQHNiIoOuvpgP/nIXuqLS/5xy8nidtIjCFc3G2oyN1ghfOMOA4Ja0p0gN1pH1/c308MRiispkqydCoyaoiRiyuQJW1GAhgtP51mosEF1h2cFgJYVnql8HoHjFd0Q5+yCcKo1uw5DwWYH+I/m8eA/RWgO3vnAvGpBmz+LZ6cNxe9/lzL0Z+KwmZo7oGHJ8PGM2m4mLizvhIl6k8SGRHIJ+w7P4Rfr1bF9ZwbYVFXzwV2NaQ1HALqA8GKbA7WNgtB3bDxeC/aCk7fbt2ykqKuqwzxO9CxV45sZFxin7GSytWyoZxGTu5aNd01hcltxyZG9L+uz2e6rejsXNOpCSAtW1nDnjpzhsto53apkeevfLr/GGBSddeAWRiA7+OhpWV5DY38gJEul5O7tDWxnTawz5mpdP9nxCiaeEUzkVTWioKKjeWjRcrFg9HWEOkZkFmVkghBE9VFOdw9f2MKvS63nr83MOLe+ZkFqYwjOPrzhEA2NRa8PXbqoXb8eYXxrQocWq1BpCyj42P/sYJLXvz3zme0K7d+NXVN42Wfm29hq+sTgwmRQUk4JJVVFNCqpJob7CqAuzfcUmvnihCtXcg6hEJyedP5DY+IEoikr9i1+Qsnkvppx0KNqIMLtAh5IkG69MPA00nfF1Pbn1s0am9FhIQkIDVlWnLBwPONjRLw9rGJyanVB9Hfuqy7BYLFgsVqxWG1aTFbNqJjejJ6sbIOnUn7BnVxERm50xAwdw4cih6LqOPxBAFwoiqNNYUcecf7yAFROKMPPVk0/j905FxPySQm07fUz9KY4uRdu0nJBiwm61oTaXoJgteHwCGxCOT0GZOpXsiy/C7LQSPOljXMkJiPm3wDb4qbd9SqjaZBi0251XYt9oGBiaejU1zhsIaOPpr37IzuaBNMX1weptxBr2UGjrv9/SZBgydAHJy37Ovafcge7xk3FOCt8t/pqIqvKzqVN54c39ShBkp9GMkRXvpHAeQ7QsJq2FzY3NrEo7hVEOnSTn4bPoHm8kJia2GZMnCooQR0hI38W43W5iY2NpamrC5XJ1tzgSCQCRsEZtWTOKqlBT6uHTxSX8q5+FPSkWLIrCgCg7Q11OhsQ4GBDlYFd1M3fM+Z77Lx/Glfk9uO+++9quNfbUsdj72Ln189fwO77j/MBD5Dh7dVgA0poiY+22NXhjazgzt0fLTr0lakVQ4VfRI2G8FWXMGJ7O6Jk3ANDobeTPz/4Zc8CMSZgwayYUFH7z61+QmJx20P7d95vfgRDc9/RjNAWbOPXtU+lRF8PP08N8mzCe3+RfQkJsJvHOFDbuXcbl3/wKVRhGzOU1Z3NpXXs9GPPML1EsKihG6CxK67bCE9+/zgrVwvW5v2zpp2ivCoyCjs6Dpc8woTyfyT2vQGgRVixZiFfonHz+RQDUFBWxd+0yfjV8OvEpsYbnRIDQBJ4ysHhtvGQ3wmknnDQFIQTbFrxNTWIC0W4Pk/oNQw8GsT/3BIW5MynPPPz6gJDnA/RIMYopBWvMZfSefjfWGGPBZeqSmcQFzwPAv3Yu9YOvJtt+Mf/XcAvLMoeCJsh3VTOmbB1KlIPsUJCeTRtIW7IXoSmkjWrE1jtMWfhNovQDB8xtpjJWWHa2PRpzxpyBbnYYeVSUltyy+03tnVcW4u6t7QnF/tXY7k3xKoJnYwNYYhVy3KXsFJkH7e9fcTCuJY1sqx5b6aUlMSeQSb1iZoZPZZ0NSi0h5loe5mRnIXX5vyLi7MFe/5/xOw8emfHPnVcTtA7kj7ti2U09e3L/yUCHSs3i/hS617a1S1di2Nn/IOEy+/HFgFEUpfQk3uvmp+sWYz7MdN3R5IdVsPf/+2Dbh3rvTBtFUQgEAlitVn7/+98f1X4cbf6d8Vt6PiSSTmC2mEjLNRZ7pWa7yP9JD36r6WzzBtjg8bHB42Ntk5c3K+rQBJhKm7EA976+nn0T3MQPPZ3m0q3ceuPVbYXfVOdfQMAHlvs5O+16fjvmfFKj4zvc96O7FtDD6+fSiy4/qFxhfzMP/PURrPt9z7+9/G2ivdGE0kOkp6RTvnETsaXNzPu1McUzavQ5OONiAQVFVeg3dQJCtFfN1FqmIvYlergvBFQuZFHlQgCG6CauSTmVv1bXUhXfk+he47AmCYKeXaRZXKjxsTjG/OmQenRsX0xysIZLJt5wyDZ/f/5Z+iZHc84VLQbNivepbWzginOMDLTFK5y8v+KfRI0bQMJJ/RFCsOXNldi2+XHoVtzWANHOaCJ6hInTjUiTEb1cPPH+e8Q2e8iZdArxffqw+R9P0bNvIpNnj2uphaOjaQJdE2gRjY1fr2H7dwp9x4yldHMYX8M+BPUMHfYyDkcUutDxriiElrHeeco4UqbZOOPj31F24Rlt/Yldtwct2nh2MuK82AZPIfYnJhRVpz41BiUYImqRg0BSA80nJ6JFNPSwRqDKx/LdO1FR8cSaiG4Kc57VRLzVWDCrYkRMGTnpFJ7w6AT8tXjm34255wjEeTOxr48m0GK5RAmF2xodRKtzuMo2n/vCVzJPm8oVgx28u72RYNh4LguoYxwHGqk1ph4U6w4u9kQTAawoXPP1b3BleEkd5sZq0shY+yg4EigcbTxLffRbUe06QtPw1GyiImERF/SdB8C2TAve6n+QZ7md6j0FiLOy6K20FwK0P/kY46u/Jf66nyO0MHWvvsaXw01szVLR0bl37l4uevsdAOafNpmqXumMyOuD3dyxrtDhtn+474e/xfdvJ4RA1/W27cPtO9Lrh/f74b33398aYuv3+0+ocFtpfEgk/yF2k8pwl5PhrvawEr+ms9sX4KuEWp7YtomJ/ZL5eH05FU0BoCeLn/mOP5w1kAl9k8lznsYG7xuoIoZPyp9g/rsvklo8CFNoBIHcrZjtgqp+S2luHnZoIVq+rz5cW8E3BY8ghKBJeKlyVLGFdWg1EXw9w+QRzRWBaRTuWcX3azom5WquqwOhoyjG10GCI47nB77MZR/t5qlTGolJbmaft5JYAQuLPuOMNa8BUHzuH8nuc7AKuIcmIkSHMOSDdkkR+4XhtvRxv1P0sOHaN1nMFLyxFIq9JHuiqEnWMZ+SRP8x/fjiyc2EA+2/+uMG5zN++TKWCcGTb7xBXmkpI/UwWlAjKu7AWjP/uHERWstNA81RTLjmND5/7A1+dkcu6VntUzz+AZthjR2hhbCkJeP+0EdKkqA1JVQvrYjzh72Edd3ZRFUuZ+I9C1BMHUOLNY+PikVriXfYyBs/rm3/7lXbYPcaJvQ9ieVp0YS+/Yo/jBpMSkzHHLOhUC1XvfgSw0PR/P75pwGFHn0+om73pfS3m9ge0NoMEICt3hlgnU9iv3E8lZXF8x++jrCe1BbGWpe6GKouBiBJj6VWbSIgzHzqTcelhLhuwzPs6/ETcoo/QxU6zfsc+GutOLMFPS4+CaVkGaCSEkym17T2NUS6rhO38mXCvjo2NRTiSFrE0rptRNt6kJjZi/zUDEbl9yYu2vAAPfviq0ws/B7uvx8wJtf2TIeyaDMxis6lZ/6Ne05+mOzYMsJLLaSlpXPphT894LM8ESgsLOSNN96gqamJ+Pj4I59wHCCND4nkKOIwqeTHOMkf2oubh7bnGqhtDrKupIG5y4u4/tXvWXb7JIRQUHQHyy+fz7LiHTy05EEqe68GVgNgjiSCCXpH7z3ovYQQEPFxSrgP/mgvalwsOjpfh5aiigCjAv1REy1Y6lTyrLlMueUmzolxdrjGs5ddjNB1dE03Eke0UL5tBULrzZQJk7C6ktv2z4j8Bf5sLKLIdnYMP+4Ma7RGSpUj1LMB1P3WswS1II1C49GLzgKgTz9jgC5/fSPJlmR8qoWGfIVhl53R5qpWVfWAX7Gn33gjo6uqeOy559jVqxcjVqxkX+kG9IiGav6BQbDfdkOlgqIa0xCl21eQnjOy/aBTRygRIopg+5b1ZBdu45Z714D4h3G8pRv2xr0kfLqXyoazSZ/7WYd7qVbja9ie3jEEORg0XCq9h/enpLGGPcDqKg8NpW4aQhE84Qi14QgL3FXM+nYZ3rwhtFppIqzSZK7F7d3FsJhT+c7b3qMiEsgOvAlb4Y7vb+KMOjtj9F3YL72S9Nh6/lq0BN8Fv6N3WjbTCrP53Wvf8BeRxq9xsHNALCtrUoi4d/Dbh/8GwLOfvMbAHd/h2VFPwy4nCfeUYPkilxhH7479VFUyxs0CYOtHjwCLWF+nU+7XCKoR2FQCH5UQTZBB3p3EJqay2fVTfj4ygex1DxNRoTDBePamKakUBE3M2lDAXhJZ6wzjK9nNicr+4bbS+JBIJJ0mKdrG5EFpjMyK54zHlvDEVzuNtZ6KINpmZ2q/oZyW/TLTXpxAbYwxCN3T91o+2/ZXXKFSeGj/ipbGoBohwt56K/9UH8QZTuHvvzgXgPO4hNLbl+DrH6L/5Wey5+63iCx+i5LPl3WYaxaAnqyz9fvPiEfg9Ot8McHwZNiDGs9ak/hodl3LOfudF3rY2HjoezBv6nAsOgam3XfZIZOzleqBg+7fH4EgtNWIgti7ZTWjXZfSx+VhbfoLFKSfRNGGKnIAFYXtpn0kjc9i2NQxHa7RanwUVRWxds9abMKGalFZtnAptpaSeJ+PsJAbKw4wPAAmnJnJkoWG/6LvqFjM5mYAynduhGnt7RSTCsKMgkA1R7MkTRD1Tl/8/QXVeiJLMwqYVuFj0gfLiTspA+/mkgM7rLbcXzdc700V9TTXuvl00QKicZCUmUrTvn0A/HJPGSFLx4R0loiVXVmZpFmsvDD1fGIClcQ2VEHDazjNLvLjx5NkVqgL+wkpVmrNgmxXCXed8jh7yGPDnpNY0Ptczlu7GE0r4bFRAbxNuzD1zKX3gEwuTOiHq9bIedJ3axN9ky7juv5GTZlflr3FaVHvENU/xKgLU4HvSHg5n9/3VNitf0fx5yNa1qS0RzQB2J0RdOC1i4bQc+B43J5m1m7axfodpeyu8JBTtKyt7fIdv+GjPr9kcOwKUrV9ZFVHcO29idMjVtbH9GaxPgJ/YxLCHDrkM3W8Exsbi6qq1NfX07t37yOfcBwgjQ+JpAtJjLZxxSlZ9FtUzi8Yy9IYO4sefxswBt2H6mezoxCqtSAlmxVSLFdhsVXwrqhCRcfs8OHKKSKJBlRdQe0VJj/4Li8XtZcdD/uDHTwHAUcxSl0h9uGTUNSOA21/vQm3Xac+ECZisRDINBaJxe8tI7lyHZUJE+GHhkTAi+6rwpsyAJeu0Tqo1DeoFFVnMvcvt6GY9LZkqq1DjhAwKNXFFoubc94d3RJpI0BRO0zEBKwQDFWxdNIoksq92EZei2W4Qs6IveSwl9/GvUn+16V8HdQRYQuWhVWcu/hTAPKigpgUCPji6KEqvPLcKx1Et2EnrIQImkLY+p3ODpqpL29GNSuYzCZUVcFkVugzPQdXfwuf/H0PNld7SHW/kyd11EWLbsyqhbRB/Rk365f87aGH0JsUIgIs7uGkrVpCU3aEpPgowu7yAx8Kk8I60x7KNtfi3vwXgrR7hq6YdiH2aAdxmkId8OuYWAb3TOKGed+jaAIiOqpSyx/uuZt7n9iAo/EzYv3toc01JgVfUylDFj8AwCdD+zDBejbZwz/lSuWfRqOWsWx7ehY5NVtZUHgW1TuepmrD//HimR8xITUGUVuH7Wd92bBwN/2bNO6qiWJJ9XpmlK4kweTBl3gypzdX83W0Rr2q8GaDlWmhvuT7+qDazFgyolFMKt5aP8IdwhJrQq22YolPAcAVE83EscOYOHYYuq7x+CX/bP/MRCMRXyqv51zI7aaHebu34LWkB5lWMpMPlXNwNY5nz/AAHr3OKANwuMx+xykmk+mEC7eVxodE0sVMH5JO46JKADK0HtCyhiGtKZ4ozUmVHsETcYAHXK4YQhY/gSgzugA1voyYJB9aIJmwohMKBRiStpFz/SPxVpewc+2DWLfkE8tQTC3ZTIXZqMuSOfcRzA4HBW4fr21+lQ1LIuxuyuGzm8YzMKPjyvQtD7wArz3OaX+YdcCX+SaPjzO/N1Jlz8vPYWqysZjy9SffAzeoFjtx9hC0xLGoobBRqs+kMNRmI9omiIpOxudrDz12OrJo9aCkqUXYe+pUhhLZ1ctCnTaXsdm90FGYyw2cu3snWrAHNlsYa7wwsmeGjOygdosZTUCJnkCTsJNuLyLiNI6ZTWacDicOmxMnUfiLQpgDubx1/+pDflYCnS9XLSf3rQKmbtwNs+5nq/JHUIxkaEpYwRSdhnPSbEo2FrDgmjlEoSAIkzxNw79rLFlJw0lNOpkAAseYUvhjAn9MjOO9mCgGaCo2FHpbzu1wX4siMCuCNcvmsm65wm53FABLF6xllSLoF9BwB0OghhGKzlUPLmG3HseNgYq2a5yWups3o85insfKlS37TOjQex632585oK+9A+tpjDi4s+Rt/mb/GQVRRZw1/6eYhQVbHzNZBT2wpVjBpTPYN4h7LpoN9/2WvYH5EIC7Q0XsNb3MDkctG/1mhlUP4rS6aViUPSTsfgiLWo4uHJQH2w0L0/tXU/9hBa2ZUjerfah3xzAKM9ETVao2XUa+PULxly/zs/k+vhmay0ANVk8voTG4i37uS6mPMfFFbg+gBw0+PwlRzgP6diJwooXbSuNDIuli+qe5eHliOknfVBIXk8WQm0ehKAr77vonkUAAn7cJrD0BEIpOtD2JK38/G4DvvnsEr28NQ6aswWQyEwn7WLJ0MLOG9+K7zZPABoxYiGX1najresIltOXyaDUi3q+qRwR2sLvJiMh4eX0ZD2d0LJAX9ASxoR70V+QuX3so5zuV9W3GR3RcAk3Az268k5hYY7BsePddKu+d3dbe/PhwhhFi2rTP+HpRu/v4tAkfYjIZCw0//ao3RaMHc8HvPwLgyRU34Q98itdzCjcnxmMdnsWKHRFm3pxDRo5Rc+Wp2z8j22bjX3cYYbPX/P1TNlWZefQPjx7yc7j/Dw8RbYphxJQsdCEQmkDoAk0zCv95PV5KNjSh6lYqMtKJUiLEx1rJHJQEQiB0jaZ3t+Oo20eRuR769CJPzUAIgcu9iWu3nWn0zbSbdLsLJVyCmjoYkT6a92yGB2SbSUcRCr0BNexH9flIiQnjckUhBEQigqAAhEaxnkRtSBBlAtVkIjHagYoDkwpmRWFQXRF10QP5U/pzqAi2OqcQq4ymzFLNx6fOJslXxQenvYPb5iG+/FaaE67FEtyOUGwoIswFOW+xLHQ689aMJIViyBIIFcKECBNiC4UA2J02Ki1ubgXCjgxomUkLBnK4oO58Hs54maAaRmyZT0Ppegb/ZHmbzlXFmFKcT4haBIHSfoy1RSj0JDEgtpoV6WM5ZfNKUkpLaRJTGZKbwqm4YcofMOsBJtcsJoog07ZkkVpSgjP57zx92q0AZDTU4K9RIOrESTC2PwkJCezatau7xThqSONDIukGrpnSlxKrncQvSghsrccxKBFMFpRwE5kD4qnbDRdck8obC3e2pXHQdY2GxjewWo1KsADNu9cb76uqYEj79TVrM6H4FiNho9Gm8A+XothMXCrgHXc2N4ffR3frDPkixPbFfjxVUagixcgyWrgTm6Ly9p/avQImi8r0GwdzXmo856bEsajew8Boe9txl8vFPtwd+ikikY5/C9EW0jt61Ec0uddjsya3GR5g5K5Ij2oP9UzWy/FoKtNnzMVqtrF97Uogwv4Rh6qikJ0c1eHvI2V8MJlUEpKdjDnv4HPo5SU1lGzYRLLFQqXZyYa8AZh0jT/8+s9tbVZXPAAfvc6magc5PZzMuP50fvP8yYRsAvYZxkegsQnSQYtNRPWB23wdq6eM4sFF1/FhuBqhCN7PeZ+rPzPW9Xit/el99mWcfuHwtvvsfO8JPvnnQv7xzHPYkw6en+OVX91Dna+KOTWGZyHaIphue5ORUe+xu08m89Kuwi2aiQ7GQzBEin8uzYobVTdzR1MxGVqYcy12UnPuYIf7YT7cW8EnQ89lbn1Hz1BADdKveDjP3LgIoTyNIoxpIocFws2DuK7+jyRsvpveNSEafr0TSjvK2dN+FpcJO6v0ASymJ9vcRrqxTY3p2NICbBk0iBh/iB5JJ7OtogDSjc8nbHHwwZWziPY0c8lXnzGwGp44eyYfLtFY3fsRiiry8LqGQfaJa3w0NDScMOG20viQSLqJXhMyqStrpv7dHaTfPhrVqqGpToJNPiAK1aSiCx2rYqw58PvrsVqNwV1VzWx94lIqhqwCQAnUk7XwRcJmP1+oBWxSG7l59kwAQn1s2AsgsnIHmBRQ4AJluyGEAlRBGAUak9Apx2QxYRFQnTyMxiqjeJ6uG16BHasqGTElC0VROD3x4EmE9o8ySbj0UmJnzACTCVN0NHs+vYjW6RWXazAu1+ADzweEaI/OiOhBNMWKtaXQmmoyztf2Kz6n/OC+JlXhMJnT287qTI7FwePHc/2Zg1ny5JN809DQYV2BM8aQIS61iaKNyVz9yK/Y1SOIV1fAWCNKkncr1yrJOHzZPAM0rhWE33uU0BgNesGcwTcxa9NTRBJtmBusWJxTGD6+Y6r8xnojxfjh5NVtxnqeS24dwcLnNlDrK+GL1AE8HHqAu70v8Ul9HjfueKLDOWE1yEsD5vLT5i0ANHjXUKX2ZmLyKtRIhP9b+x7XKQpjs9sNnrv0AOGoWDz1oOyXyTdNXUVjyEZNXYTqXvfTL3gn4WzBVns0A3c2d7hvjBLgDFMBc0+uYlO0mQFFMZy8JZYLln8PqkqFHuDd2jd4NvfGlk8KUtIjlALNMdG8eN6FpIbO4JxlsAidtJJ4sIKmn5hTLmBMu+i6fsKE20rjQyLpJhRVIf68PCoeXE3zmkr8VQp+TWNbbTK9LHtJGjUJ/fOvUBRj0FWU9oWPDQ1FNJavbfN2ON1vkf3ggwDMv28VVnN729CEXOpPW8mkiYUoSsdfTK2p3UEHVEad52f0lBltxye2vNfu9fDOn9cQCnT0ZHToT6uL5gfjo2m/SpwmczkWy0EWXXa8EmI/v4X+gwG39Vefvl9ROAXDQGpr05mKwYpywLU7Yhxbt/YdVm15msbGdADW3nw+MdEWTCmJCJ/hbbnk/gtY9dF3aHGVXIOfm8uc9E77E2OWn044vz+zq+bi3BTCa0pDbzQiXoZZo9nSA4YMvAg2PUXOtGxG9ryd3GHJB0x3VewzMqpqkUNX+22qMaY0EvLiOPcvJ/P0lQ9jr4eTgIX0JDFlL62VkPMus7KpwINjq42Lt/2c21xXcnpOGbuc8NeM0TzXZwv53o1kv3MeMULwUGUtb/kTyKyGlJk6ZL1IbOZrRG3uwyK3UchuevxDlPtieKt+GFqokNp7jeiTijQ7ZdWCKY3eA2Sua0mxsi3Hw9T1ClpjCCEEq/PSMCHIa97Frug8BFBVboJ+OphVBhaVAe2eLlNNFPQAT/Vhygwc5yQkJABQV1cnjQ+JRPLfoUZbKA1o9Pq8GGt0Muu9EQgLksYOY8vSfXi1Ory+OgoKCmhs3AyAxZJHKLyJ8GkjaM0Jsj59AL6W8FSvLgjWVrNlydcoioK7cQtqPFRW/ovWkEeBaBlbjS+02LQIqqpgpi+bv93XLmDL4OxvNlzrVUVutq0oRzUZNVBMJhXVbNRCadxnDDalpaU4G4zpGEVROqSJbjU8GpvWtixHbXm1pF8HcKo6tSE32+q2IUSQTG0bfsWK17sHVTUT0RoACwFvhHBIM+qyKBDSBYGwhs2sYlIVI/X4EWidvjoYPp+vRdZkwgEzSQk+TDU+lB1lhH0BtDoNc4stoKoqY84fy4uLRtJPbObGlU8aB3JeptB9DRm1Cv09b6HTHmq7qaeXYpOJ094aC6pCklZH7+EpB5Wl36Acdm0v5vmbf2PcDxPZOUOZ+Zf7DuqCN5sP/GofnROLb5fAPiCWKeNHMaSvl1cfWk100Ex8o5ndBf0xX5lNOOhGCMgeMIkNZ79Kwrx7eLfXLDaeks8jS2ZRVaxT28dCr6ZqUpx76WVdxuKqXN4tGUx9yJg+E1oFPl8sTmcT+8IZNCXsJckfodpsQgHejYlGDWWQV5tPoMdigprC+f+YR1ya4fH5tCWny7SahYz95Uxy0uLZ1+xnxrZ9IARXf1WDN8qCZjKhYCJtfQGm1NEU7qvgpMN83scz+4fbngjI2i4SSTfic4d4+/ZlZFhVwkJQGmpdHGrYBjWp37a1jY2tZMjQhQdcQwiFjRsm43a3D1zWqr3Y6o2ImpyppcRmHfirE2Dvsl/RXD6sfYey35uitA3fAhBHnsdAIKhNXQ7KwQf1Pn1XkJZ25GRQHzZYWNJsYbQzwmWJHfM3BN1pFC3omML9legA1eZ23SmAkyBXxu9CURRUVW17b92ur2sgKpRBZtQQVFVpM6hUk4KqKvj9AWqKfDTGbyIqrZBJkwSKoqIoJhRUQuUVhL74HiIK7kE3oZpMPJ/oZXnMBO561wNAXuNr7Ij7KactuxdLpGMSMftlcXzk2keMyc5oTwNDXLkop94CJjOoFlDNYDLed3wzn/kLd/BDUlKzGX7eTLRIhBXvfULQH+Hk836PalJZWVbPMyVlnDW4B/17GUmqGt8uJirFwbhTe7bpCmD5e8ZCxg+TNDafnsyU2GjGJbvaDMJ7du2jcskEALb2jaYizY5JE6RVBSisS2bnigPXoXhGTSXm+wXtO8wm5k3e0/Zn38a+DG4YzMyJO6jXVpO6aQhp1slgMrP+y08pDjaT5PGT+uAjqKqKyWRqe1/2nBFyWuNSKYrbQEp9LQ6niqVHJldNm9yptOY/3P9DOjs0/jtD6H97zc8//5whQ4YwderUTt+zK/l3xm9pfEgk3UwoEMFqP7gTUt+vUJbxRRnZr46Yjq5rBAJBFMWGqSVtt65pWC3m9pweQoCqtQycYKTdbPVIKPttdw5dF+iajh5pqYOi6S31UHRCWgCLXdlP3o41NDQthN3uxmQ2teX5MLwwrUmoBI3BJtzEgKIidA3hXkpm4skIoSNEGF0PU1tswazktdxXUNbkoznODDYTgbBOg7sZtbmaQYlqh/obuq63bTdUeYnRM4iyxiM03eiXbkS9tParsqoCkV5IUlohWdluEDpCaAiM91DAR31JMw0bhyJ0HcXWRMbE5WjLrJR834NVA/ys69fIIy/qJHrgjdMVfqfWkJoeA1oE9DBoYeP9MBQ3x/F+2YHrY1pRFBXFZMYWPQhXynS0iE6NFuEV1UvEomJpWSczuV6lNxbMLflJWgsYhoOGC+eN+BDFp6WgWFVsJrUtV4tf06j89jQAytLi2NnXeF6fLphFQfVgfhv9HGlLvZTHxwBQmZCLKzMDR1M19sZanA4HkUiIT3rvJJTupEoL0bduMCN1hTEjVxEJNJD4QQKOzVaIaAhNQ/d4aExM5Jvp09A0rcMan7ja4VgiMexOM/PmBGOcOHvDMno01h7x+T3eGTNmDFOmTOluMQ6KND4kEonkGODfSnqlRUBvMUj0SLtxokcQkRDu5jDCEY9qMmFVHahWFcVqwmQ2o6oHZmk96gTcYIvpUEU3GNGwHSRD7I+FruuGIRLREJqK2wSaAiEh8PoDxIcCWEzqAdN9B3v98FhnOJrt/tNrWSyWYzaRmqxqK5FIJMcA/9YgYTIbL+wHHFKA2KSjJtZ/hv3AwaQrDQ+gbdrMYjEWVDv2P+iw0bqgVnLsc/wHC0skEolEIjmukMaHRCKRSCSSLkUaHxKJRCKRSLoUaXxIJBKJRCLpUqTxIZFIJBKJpEuRxodEIpFIJJIuRRofEolEIpFIuhRpfEgkEolEIulSpPEhkUgkEomkS5HGh0QikUgkki5FGh8SiUQikUi6FGl8SCQSiUQi6VKk8SGRSCQSiaRLOeaq2gohAKM0r0QikUgkkuOD1nG7dRw/HMec8eHxeADIzMzsZkkkEolEIpH8u3g8HmJjYw/bRhGdMVG6EF3XKS8vJyYmBkVR/q1z3W43mZmZlJWV4XK5fiQJj3+kno6M1FHnkHrqHFJPnUPq6cgcyzoSQuDxeMjIyEBVD7+q45jzfKiqSs+ePf+ra7hcrmPuQzkWkXo6MlJHnUPqqXNIPXUOqacjc6zq6Egej1bkglOJRCKRSCRdijQ+JBKJRCKRdCknlPFhs9mYPXs2Nputu0U5ppF6OjJSR51D6qlzSD11DqmnI3Oi6OiYW3AqkUgkEonkxOaE8nxIJBKJRCI59pHGh0QikUgkki5FGh8SiUQikUi6FGl8SCQSiUQi6VJOGONj3bp1nHnmmcTFxZGYmMj1119Pc3Nz2/G6ujqmTp1KRkYGNpuNzMxMfv3rX/9P1ZA5ko42bNjAJZdcQmZmJg6HgwEDBvDkk092o8Tdw5H0BHDTTTcxcuRIbDYbw4YN6x5Bu5nO6Km0tJQZM2bgdDpJSUnhtttuIxKJdJPE3cPOnTuZOXMmSUlJuFwuTj31VL755psObb7++mvGjh1LTEwMaWlp3H777f9TeuqMjtasWcPpp59OXFwc8fHxTJkyhQ0bNnSTxN3DkfQ0b948FEU56Ku6urobJT+QE8L4KC8v54wzziAvL49Vq1axYMECtmzZwtVXX93WRlVVZs6cyccff8zOnTuZN28eX331FTfeeGP3Cd6FdEZHa9euJSUlhddff50tW7Zw9913c+edd/L00093n+BdTGf01Mq1117LRRdd1PVCHgN0Rk+apjFjxgxCoRArVqzglVdeYd68edx7773dJ3g3cNZZZxGJRFi0aBFr165l6NChnHXWWVRWVgKG0T99+nSmTp1KQUEB77zzDh9//DF33HFHN0vedRxJR83NzUydOpVevXqxatUqli1bRkxMDFOmTCEcDnez9F3HkfR00UUXUVFR0eE1ZcoUJkyYQEpKSjdL/wPECcDzzz8vUlJShKZpbfs2btwoAFFYWHjI85588knRs2fPrhCx2/lPdfTLX/5STJw4sStEPCb4d/U0e/ZsMXTo0C6U8NigM3r67LPPhKqqorKysq3Nc889J1wulwgGg10uc3dQU1MjAPHtt9+27XO73QIQCxcuFEIIceedd4pRo0Z1OO/jjz8WdrtduN3uLpW3O+iMjtasWSMAUVpa2tamM99fJxKd0dMPqa6uFhaLRbz66qtdJWanOSE8H8FgEKvV2qGQjcPhAGDZsmUHPae8vJwPPviACRMmdImM3c1/oiOApqYmEhISfnT5jhX+Uz39r9EZPa1cuZLBgweTmpra1mbKlCm43W62bNnStQJ3E4mJifTr149XX30Vr9dLJBLh+eefJyUlhZEjRwKGLu12e4fzHA4HgUCAtWvXdofYXUpndNSvXz8SExOZM2cOoVAIv9/PnDlzGDBgANnZ2d3bgS6iM3r6Ia+++ipOp5Of/exnXSztkTkhjI9JkyZRWVnJww8/TCgUoqGhoc1lWVFR0aHtJZdcgtPppEePHrhcLl566aXuELnL+Xd01MqKFSt45513uP7667tS1G7lP9HT/yKd0VNlZWUHwwNo+7vVTXyioygKX331FQUFBcTExGC323nsscdYsGAB8fHxgGGQrVixgrfeegtN09i3bx/3338/8L/xzHVGRzExMSxevJjXX38dh8NBdHQ0CxYs4PPPP8dsPubqo/4odEZPP2TOnDlceumlbT8MjiWOaePjjjvuOOTimdbX9u3bGTRoEK+88gqPPvooTqeTtLQ0cnJySE1NPaCs7+OPP866dev417/+xe7du7nlllu6qXdHhx9DRwCbN29m5syZzJ49m8mTJ3dDz44uP5aeTjSknjpHZ/UkhOBXv/oVKSkpLF26lNWrV3Puuedy9tlntxkWkydP5uGHH+bGG2/EZrPRt29fpk+fDnBc6/Jo6sjv9zNr1izGjRvHd999x/Lly8nPz2fGjBn4/f5u7ul/x9HU0/6sXLmSbdu2MWvWrG7o1ZE5ptOr19TUUFdXd9g2ubm5WK3Wtr+rqqqIiopCURRcLhdvv/02F1xwwUHPXbZsGePHj6e8vJz09PSjKntX8WPoaOvWrUycOJHrrruOBx544EeTvSv5sZ6l++67j48++oj169f/GGJ3OUdTT/feey8ff/xxB90UFRWRm5vLunXrGD58+I/VjR+dzupp6dKlTJ48mYaGhg7lz/v06cOsWbM6LCoVQlBRUUF8fDzFxcUMHDiQ1atXM3r06B+tHz8mR1NHc+bM4a677qKioqLNIAuFQsTHxzNnzhwuvvjiH7UvPyY/xrMEMGvWLNatW0dBQcGPIvd/yzHtr0pOTiY5OfnfOqfVrTt37lzsdjtnnnnmIdvqug4Yc67HK0dbR1u2bGHSpElcddVVJ4zhAT/+s3SicDT1NGbMGB544AGqq6vbVtovXLgQl8vFwIEDj67gXUxn9eTz+YADPRiqqrZ9/7SiKAoZGRkAvPXWW2RmZjJixIijJHHXczR15PP5UFUVRVE6HFcU5QA9Hm/8GM9Sc3Mz7777Lg8++ODRE/Ro052rXY8mf//738XatWvFjh07xNNPPy0cDod48skn245/+umnYu7cuWLTpk2iqKhIzJ8/XwwYMECMGzeuG6XuWo6ko02bNonk5GRx+eWXi4qKirZXdXUHCjrhAAACGUlEQVR1N0rd9RxJT0IIUVhYKAoKCsQNN9wg+vbtKwoKCkRBQcH/TBSHEEfWUyQSEfn5+WLy5Mli/fr1YsGCBSI5OVnceeed3Sh111JTUyMSExPF+eefL9avXy927Nghbr31VmGxWMT69evb2v3tb38TGzduFJs3bxb333+/sFgs4sMPP+w+wbuQzuho27ZtwmaziV/84hdi69atYvPmzeLyyy8XsbGxory8vJt70DV09lkSQoiXXnpJ2O120dDQ0D3CdoITxvi44oorREJCgrBarWLIkCEHhBYtWrRIjBkzRsTGxgq73S769Okjbr/99mP6wznaHElHs2fPFsABr6ysrO4RuJs4kp6EEGLChAkH1VVRUVHXC9xNdEZPxcXFYtq0acLhcIikpCTxu9/9ToTD4W6QtvtYs2aNmDx5skhISBAxMTHilFNOEZ999lmHNhMnTmz7bjr55JMPOH6i0xkdffnll2LcuHEiNjZWxMfHi0mTJomVK1d2k8TdQ2f0JIQQY8aMEZdeemk3SNh5juk1HxKJRCKRSE48jt+l1BKJRCKRSI5LpPEhkUgkEomkS5HGh0QikUgkki5FGh8SiUQikUi6FGl8SCQSiUQi6VKk8SGRSCQSiaRLkcaHRCKRSCSSLkUaHxKJRCKRSLoUaXxIJBKJRCLpUqTxIZFIJBKJpEuRxodEIpFIJJIuRRofEolEIpFIupT/B1+gphBZOoI/AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in range(nTracts):  #optional full state visualization after squish; skipping for OH\n",
    "    if t not in allCutVTDs and t not in skipList:\n",
    "        plotPoly(vtdGeom[t])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "e2d900e5-f4bc-44c5-9cba-91941a868a77",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\n",
      "working on confirming HD center 0 is inside the map's convex hull\n",
      "working on confirming HD center 502 is inside the map's convex hull\n",
      "working on confirming HD center 1003 is inside the map's convex hull\n",
      "working on confirming HD center 1504 is inside the map's convex hull\n",
      "working on confirming HD center 2004 is inside the map's convex hull\n",
      "working on confirming HD center 2504 is inside the map's convex hull\n",
      "working on confirming HD center 3005 is inside the map's convex hull\n",
      "working on confirming HD center 3505 is inside the map's convex hull\n",
      "working on confirming HD center 4208 is inside the map's convex hull\n",
      "working on confirming HD center 4910 is inside the map's convex hull\n",
      "working on confirming HD center 5493 is inside the map's convex hull\n",
      "working on confirming HD center 5993 is inside the map's convex hull\n",
      "working on confirming HD center 6493 is inside the map's convex hull\n",
      "working on confirming HD center 7117 is inside the map's convex hull\n",
      "working on confirming HD center 7827 is inside the map's convex hull\n",
      "working on confirming HD center 8344 is inside the map's convex hull\n",
      "working on confirming HD center 8844 is inside the map's convex hull\n",
      "Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note the MAP convex hull.  Overwrite with your own polygon if desired.\n"
     ]
    }
   ],
   "source": [
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]  #remember, this is after any squish operation\n",
    "print(\"Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\")\n",
    "useSquish = 1 #int(input(\"enter 1 to use squished shapes (e.g. for MD, MN), enter 0 for unclipped states\"))\n",
    "if useSquish == 1:\n",
    "    convexMAP = hdCP[countyTractList[uncutCountyList[0]][0]].buffer(0.1) \n",
    "    for v in range(nTracts):\n",
    "        if v not in skipList and v not in allCutVTDs and v not in coreVTDs:  #new - skip VRA core\n",
    "            convexMAP = convexMAP.union(hdCP[v].buffer(0.1))\n",
    "else:  #build the map via simple union of counties not wholly in fully cut-out districts\n",
    "    convexMAP = countyGeom[uncutCountyList[0]]\n",
    "    for c in uncutCountyList:\n",
    "        convexMAP = convexMAP.union(countyGeom[c])\n",
    "    #convexMAP = MAP.centroid\n",
    "    #for c in range(nCounties):\n",
    "    #    if c not in allFusedCounties:\n",
    "    #        convexMAP = convexMAP.union(countyGeom[c])\n",
    "MAPhull = convexMAP.convex_hull.buffer(0.01*convexMAP.area**0.5)\n",
    "plotPoly(MAPhull)\n",
    "popHDlist = list()\n",
    "for t in range(nTracts):\n",
    "    if t not in allCutVTDs and t not in skipList + coreVTDs:  #keep low-pop tracts as VEST may have assigned voters to them\n",
    "        popHDlist.append(t)  #we won't draw polygonal HDs for the VRA core nor envelope, but the envelope can be drawn in\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on confirming HD center\",t,\"is inside the map's convex hull\")\n",
    "    if hdCP[t].disjoint(convexMAP.convex_hull):\n",
    "        plotPoly(hdCP[t].buffer(0.03))\n",
    "        hdCP[t] = nearest_points(convexMAP.convex_hull,hdCP[t])[0]\n",
    "        plotCenter(\"m\",hdCP[t])\n",
    "    else:\n",
    "        plotPoly(hdCP[t].buffer(0.01))\n",
    "plotPoly(convexMAP)\n",
    "plotPoly(convexMAP.convex_hull)\n",
    "plotPoly(MAPhull)\n",
    "for c in allFusedCounties:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "print(\"Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Note the MAP convex hull.  Overwrite with your own polygon if desired.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "fde5ee67-7d20-4827-a1d0-5ea365f5587d",
   "metadata": {},
   "outputs": [],
   "source": [
    "nHDs = nTracts  #need to run this if we start option 2 from a vest list, not a previously run HD poly list\n",
    "HDcountyNo = countyNo.copy()\n",
    "populatedTractList = popHDlist.copy()  #nomenclature equivalency.  this excludes VRA cores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "9d4d3d0a-e47e-45ab-b9b2-109ceceaf232",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\n",
      "working on tract-tract distances for unit 0 out of 8941 . Time = 0\n",
      "working on tract-tract distances for unit 402 out of 8941 . Time = 153\n",
      "working on tract-tract distances for unit 802 out of 8941 . Time = 305\n",
      "working on tract-tract distances for unit 1204 out of 8941 . Time = 434\n",
      "working on tract-tract distances for unit 1604 out of 8941 . Time = 522\n",
      "working on tract-tract distances for unit 2004 out of 8941 . Time = 622\n",
      "working on tract-tract distances for unit 2404 out of 8941 . Time = 724\n",
      "working on tract-tract distances for unit 2804 out of 8941 . Time = 816\n",
      "working on tract-tract distances for unit 3205 out of 8941 . Time = 915\n",
      "working on tract-tract distances for unit 3605 out of 8941 . Time = 993\n",
      "working on tract-tract distances for unit 4208 out of 8941 . Time = 1066\n",
      "working on tract-tract distances for unit 4765 out of 8941 . Time = 1135\n",
      "working on tract-tract distances for unit 5292 out of 8941 . Time = 1195\n",
      "working on tract-tract distances for unit 5693 out of 8941 . Time = 1250\n",
      "working on tract-tract distances for unit 6093 out of 8941 . Time = 1299\n",
      "working on tract-tract distances for unit 6493 out of 8941 . Time = 1339\n",
      "working on tract-tract distances for unit 6957 out of 8941 . Time = 1376\n",
      "working on tract-tract distances for unit 7627 out of 8941 . Time = 1407\n",
      "working on tract-tract distances for unit 8032 out of 8941 . Time = 1424\n",
      "working on tract-tract distances for unit 8444 out of 8941 . Time = 1433\n",
      "working on tract-tract distances for unit 8844 out of 8941 . Time = 1439\n",
      "All done; total elapsed  1440 seconds for OH with 15 districts to map\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "our maxD was 2.5\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 ....... ##########  THIS IS FOR TRACT - TRACT, despite the \"uu\" nomenclature\n",
    "#   note that VRA core vtds aren't in popHDlist, so they're assigned a large distance from every vtd\n",
    "print(\"Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\")\n",
    "#NOTE: FOR LARGE STATES, RESTRICT THE SEARCH TO COUNTIES WITHIN A 3/SQRT(nDistrict) DIAMETER OF THE HOME UNIT\n",
    "uuDist = [[int(maxD+1) for t in range(nHDs)] for t in range(nHDs)] #default: too big to capture\n",
    "closeCountyList = [list() for c in range(nCounties)]\n",
    "closeCountyDist = maxD   #min(maxD,3./float(nDistricts)**0.5 * maxD )  #use above maxD for these counties as well\n",
    "xScaleSquared = xScale*xScale\n",
    "if nDistricts < 10: #closeCountyDist >= maxD:  #small state\n",
    "    closeCountyList = [[i for i in range(nCounties)] for c in range(nCounties)]  #all counties are close enough\n",
    "else:\n",
    "    for c in uncutCountyList:\n",
    "        closeCountyList[c].append(c)\n",
    "        for cc in range(c+1,nCounties):\n",
    "            if cc in uncutCountyList:\n",
    "                if cc in neighborCountyList[c]:\n",
    "                    closeCountyList[c].append(cc)\n",
    "                    closeCountyList[cc].append(c)\n",
    "                else:    \n",
    "                    dist = getLongDist(countyCP[c], countyCP[cc],xScale)\n",
    "                    if dist < closeCountyDist:\n",
    "                        closeCountyList[c].append(cc)\n",
    "                        closeCountyList[cc].append(c)\n",
    "startTime = time.time()\n",
    "\n",
    "for i,t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on tract-tract distances for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime))\n",
    "    uuDist[t][t] == 0.\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "                dist = getLongDist(hdCP[t], hdCP[tt],xScale)\n",
    "                uuDist[t][tt], uuDist[tt][t] = dist, dist\n",
    "print(\"All done; total elapsed \",int(time.time()-startTime),\"seconds for\",STATE,\"with\",nDistricts,\"districts to map\" )\n",
    "plt.hist(uuDist)\n",
    "plt.show()\n",
    "print(\"our maxD was\",maxD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "b7a1da66-4161-46d4-b2e6-5777a5c450ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "similar to above, but for angles\n",
      "working on unit-unit angles for unit 0 out of 8941 . Time = 0\n",
      "working on unit-unit angles for unit 402 out of 8941 . Time = 79\n",
      "working on unit-unit angles for unit 802 out of 8941 . Time = 159\n",
      "working on unit-unit angles for unit 1204 out of 8941 . Time = 226\n",
      "working on unit-unit angles for unit 1604 out of 8941 . Time = 271\n",
      "working on unit-unit angles for unit 2004 out of 8941 . Time = 321\n",
      "working on unit-unit angles for unit 2404 out of 8941 . Time = 375\n",
      "working on unit-unit angles for unit 2804 out of 8941 . Time = 426\n",
      "working on unit-unit angles for unit 3205 out of 8941 . Time = 482\n",
      "working on unit-unit angles for unit 3605 out of 8941 . Time = 525\n",
      "working on unit-unit angles for unit 4208 out of 8941 . Time = 565\n",
      "working on unit-unit angles for unit 4765 out of 8941 . Time = 604\n",
      "working on unit-unit angles for unit 5292 out of 8941 . Time = 637\n",
      "working on unit-unit angles for unit 5693 out of 8941 . Time = 668\n",
      "working on unit-unit angles for unit 6093 out of 8941 . Time = 698\n",
      "working on unit-unit angles for unit 6493 out of 8941 . Time = 722\n",
      "working on unit-unit angles for unit 6957 out of 8941 . Time = 741\n",
      "working on unit-unit angles for unit 7627 out of 8941 . Time = 759\n",
      "working on unit-unit angles for unit 8032 out of 8941 . Time = 769\n",
      "working on unit-unit angles for unit 8444 out of 8941 . Time = 774\n",
      "working on unit-unit angles for unit 8844 out of 8941 . Time = 777\n",
      "All done with angles; total elapsed seconds = 777\n"
     ]
    }
   ],
   "source": [
    "print(\"similar to above, but for angles\")  #convention is angle[a][b] is from a to b\n",
    "uuAngle = [[0. for t in range(nHDs)] for t in range(nHDs)]\n",
    "\n",
    "pi = 3.141592653\n",
    "twoPi = pi*2.\n",
    "startTime = time.time()\n",
    "for i, t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on unit-unit angles for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime)  )\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "            angLE = math.atan2(hdCP[tt].y - hdCP[t].y, xScale * (hdCP[tt].x - hdCP[t].x) )\n",
    "            uuAngle[t][tt], uuAngle[tt][t] = angLE % twoPi, (angLE + pi) % twoPi\n",
    "print(\"All done with angles; total elapsed seconds =\",int(time.time()-startTime) )\n",
    "#plt.hist(uuAngle)\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "074b3811-8256-4334-960c-32ec09c981f6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "09552570-4c54-4478-943f-53daa43f64a5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "786629.867 15 11799448.0 15.0 11799448.0\n",
      "11799448.0 10683862 0.90545  + VRA 0.09455\n",
      "statePop, summed non(VRA+skipped) pop, summed nonVRA frac pop, VRA frac pop\n"
     ]
    }
   ],
   "source": [
    "print(r3(aDP), nDistricts, statePop, statePop/aDP, trueStatePop)\n",
    "HDweight = [0 for t in range(nHDs)]\n",
    "for t in populatedTractList:\n",
    "    HDweight[t] = tractPop[t] / trueStatePop #for now, skipping the cutList and coreVTD tracts\n",
    "VRAsumPop = np.sum([tractPop[t] for t in coreVTDs])\n",
    "print(statePop,np.sum([tractPop[t] for t in populatedTractList]), r5(np.sum(HDweight)),\" + VRA\",r5(VRAsumPop/statePop) )\n",
    "print(\"statePop, summed non(VRA+skipped) pop, summed nonVRA frac pop, VRA frac pop\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "4ceeb6d4-f81b-479e-baa0-1421ed5a0cbc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\n"
     ]
    }
   ],
   "source": [
    "print(\"RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\")\n",
    "opt2nbrCtyList = [neighborCountyList[c].copy() for c in range(nCounties)]\n",
    "for i in range(nClips):\n",
    "    cList = toSquishCountiesList[i]\n",
    "    for c in cList:\n",
    "        for cc in cList:\n",
    "            for ccc in neighborCountyList[cc]:\n",
    "                if ccc not in opt2nbrCtyList[c] and ccc != c:\n",
    "                    opt2nbrCtyList[c].append(ccc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "50ca83dc-8db8-49d5-871f-60d27f46fdc3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using less extreme angles here vs. original HD2\n"
     ]
    }
   ],
   "source": [
    "pi=3.1415926536\n",
    "levelL, maxAngleRatio, maxAngle = 0.36, 1.9, 1.8*pi/2.  #original\n",
    "print(\"Using less extreme angles here vs. original HD2\")\n",
    "levelL, maxAngleRatio, maxAngle = 0.36, 1.5, 1.5*pi/2.  #2nd try 9-13-24, don't make adjusted angles quite so wide\n",
    "levelL, maxAngleRatio, maxAngle = 0.6, 1.5, 1.5*pi/2.   #3rd try -- adjust angles for more hdCP's not so close to boundary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "e25e2932-4933-4435-9adc-b178ec47e5a4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\n",
      "For each Home District, we will consider a wedge as one-from-full when it is within 1165.953 of targetWedgePop\n",
      "I am working on HD number 0 of 8941 HDs.  Elapsed sec = 0\n",
      "I am working on HD number 402 of 8941 HDs.  Elapsed sec = 70\n",
      "I am working on HD number 802 of 8941 HDs.  Elapsed sec = 137\n",
      "I am working on HD number 1204 of 8941 HDs.  Elapsed sec = 208\n",
      "I am working on HD number 1604 of 8941 HDs.  Elapsed sec = 287\n",
      "I am working on HD number 2004 of 8941 HDs.  Elapsed sec = 365\n",
      "I am working on HD number 2404 of 8941 HDs.  Elapsed sec = 431\n",
      "I am working on HD number 2804 of 8941 HDs.  Elapsed sec = 501\n",
      "I am working on HD number 3205 of 8941 HDs.  Elapsed sec = 592\n",
      "I am working on HD number 3605 of 8941 HDs.  Elapsed sec = 659\n",
      "I am working on HD number 4412 of 8941 HDs.  Elapsed sec = 737\n",
      "I am working on HD number 4949 of 8941 HDs.  Elapsed sec = 809\n",
      "I am working on HD number 5444 of 8941 HDs.  Elapsed sec = 873\n",
      "I am working on HD number 5844 of 8941 HDs.  Elapsed sec = 934\n",
      "I am working on HD number 6244 of 8941 HDs.  Elapsed sec = 993\n",
      "I am working on HD number 6644 of 8941 HDs.  Elapsed sec = 1054\n",
      "I am working on HD number 7414 of 8941 HDs.  Elapsed sec = 1123\n",
      "I am working on HD number 7927 of 8941 HDs.  Elapsed sec = 1185\n",
      "I am working on HD number 8354 of 8941 HDs.  Elapsed sec = 1243\n",
      "I am working on HD number 8754 of 8941 HDs.  Elapsed sec = 1310\n",
      "1342.099 seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\n",
      "vtd avg and sd usage are 0.95705 0.15956\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing option 2 .......\n",
    "# BELOW modified Dec23 to use inter-unit distances and angles, (counties still wedgeIntersxn) otherwise similar to HD2\n",
    "# --THIS ESSENTIALLY TAKES THE ORIGINAL TRACT-BASED HD centerpoints, and redraws HD2 districts after convexifying corners and convex_hull\n",
    "print(\"Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\") \n",
    "#this is a hybrid of HD2 and the organic code, in that all wedge tracts must be in a chain of neighboring counties\n",
    "#General sequence: draw 4 equi-angle wedges with random starting orientation.  If not all can fill a quarter aDP ...\n",
    "# ... find the closest map boundary point to the tract center point in the shortest wedge.  Orient the 0th wedge to face this point\n",
    "# ... determine the \"maxWedgePop\" for this short wedge and the other three wedges extended past the boundary\n",
    "# ...  if this results in only one short wedge, or opposing short wedges, adjust wedge angles\n",
    "# Regardless of whether we re-oriented or adjusted angles, compute each wedgePop for infinite radius\n",
    "#   ... then adjust other targetWedgePops if some found to be short.\n",
    "#   ... for non-shorted wedges, use bisection method to adjust radius to meet targetWedgePop\n",
    "#   ... once total HDpop within tolerance, add/subtract a tract fraction to fulfill HDpop\n",
    "#  create a list of fully used tracts per HD, save the tract# of the split tract and its fractional use\n",
    "#  Compute tractUse across all HDs at the end from the tractUsageLists.  Defer patching and partisan calcs to another code\n",
    "\n",
    "pi=3.1415926536\n",
    "#MAPhull = MAP.convex_hull #used for exitAngle calc.  Defined in an above block to allow user modification\n",
    "nWedges = 4  #number of wedges per home district polygon  \n",
    "avgWedgeAngle = 2.*pi / nWedges\n",
    "angle, angle2, wedgePoly = [0.]*nWedges, [0.]*nWedges, [dummyPoly]*nWedges  #start and stop angle of each wedge\n",
    "pt1, pt2, pt3 = [Point(0,0)]*nWedges, [Point(0,0)]*nWedges, [Point(0,0)]*nWedges #these four define the polygon wedge for a growing home district\n",
    "tractUse = [0.] * nHDs  #this will store how much we use this tract in ALL HD's vs. expectation\n",
    "HDtractList = [list()]*nHDs\n",
    "splitTractNo = [-999]*nHDs  #the tract that is only partially used to finish each HD\n",
    "splitTractUse = [0.]*nHDs  #and this is what fraction of the split tract is included\n",
    "HDvPop = [0.]*nHDs\n",
    "#HDweight = [tractPop[t] / (statePop - excludedPop) for t in range(nTracts)]  #relative weight of each drawn HD\n",
    "HDPoly1 = [dummyPoly]*nHDs  #final 4-wedge shape, unionized from blockgroups / tracts\n",
    "HDarea = [0.]*nHDs  #geographical area of each home district (after boundary trim)\n",
    "HDradius = [[0.]*nWedges for t in range(nHDs)] #final wedge length for each Home District wedge\n",
    "HDangle = [[0.]*nWedges for t in range(nHDs)] #final starting angle for each HD wedge\n",
    "angle0 = [-999.] * nHDs  #orientation of 0th wedge.  Random except re-oriented if we are near-boundary\n",
    "avgTractPop = statePop/len(populatedTractList)\n",
    "tolerPops = [0.8 * avgTractPop, 0.5 * np.max(tractPop)]  #threshold gap before adding one more unit to a wedge \n",
    "tolerPop = tolerPops[0]\n",
    "print(\"For each Home District, we will consider a wedge as one-from-full when it is within\",r3(tolerPops[0]),\"of targetWedgePop\")\n",
    "tractPrintInterval = 400  #for tracking progress\n",
    "#levelL = 0.36 #SEE ABOVE BLOCK #sqrt(pop) for angle=std  These two control distortion in wedge angles relative to wedgePop shortness\n",
    "#maxAngleRatio = 1.9  #SEE ABOVE BLOCK #for tightening tract weighting near boundaries  #HD2\n",
    "#maxAngle = 1.8*pi/2. #SEE ABOVE BLOCK  # limit to avoid wedges too close to half a pie\n",
    "minAdjRatio = 0.5  #min ratio of pop of adjacent wedge (to min wedge) to targetWedgePop to not consider this a corner HD\n",
    "maxUncap = 0.5 #the max ratio of uncaptured pop in a maxWedge vs. target wedge pop that we will not stretch to include (7/23)\n",
    "oppWt = 0.0    #the fraction of gap between normal targetWedgePop and the minWedgePop that we allow the opposite wedge to add to tgtPop = minWedgePop\n",
    "maxWedgePop = [0.] * nWedges  #wedge pop if we explode wedge to maximum radius\n",
    "printDebug = \"no\"\n",
    "codeStartTime = time.time()\n",
    "hdCPpop = [HDweight[t] * statePop for t in range(nHDs)]\n",
    "countyHDlist = [list() for c in range(nCounties)]\n",
    "HDsToDraw = set(populatedTractList).difference(set(envelopeVs+coreVTDs+skipList))\n",
    "availVTDs = list(HDsToDraw)+envelopeVs\n",
    "for t in availVTDs: #excluding VRAcore and skipList; originally populatedTractList:\n",
    "    countyHDlist[HDcountyNo[t]].append(t)\n",
    "for kkkj, t in enumerate(HDsToDraw ):  #range(nTracts) : #loop on each tract. \n",
    "    hC = HDcountyNo[t]     #this tract's home county\n",
    "    HDtractList[t] = [t] #seed the list of tracts in this HD\n",
    "    wedgeList = [list() for w in range(nWedges)]   #list of each wedge's tracts, excluding home tract\n",
    "    barredList = list()  #list of wedge numbers for which we are barred from altering their targetWedgePops\n",
    "    if (kkkj % tractPrintInterval) == 0 : \n",
    "        print(\"I am working on HD number {0} of {1} HDs.  Elapsed sec = {2}\".format(t,nHDs,int(time.time()-codeStartTime) ) )  \n",
    "    nActiveWedges = nWedges #active wedges have not run over boundary\n",
    "    wedgePop = [0.]*nWedges\n",
    "    targetWedgePop = [aDP / nWedges]*nWedges  #at beginning, split districtPop equally among wedges\n",
    "    \n",
    "    angle0[t] = random.uniform(0,2.*pi)  #imparts random orientation to the midangle of our starting wedge\n",
    "    wedgeAngle = [avgWedgeAngle for w in range(nWedges) ] #reset to equi-angle when starting each tract\n",
    "    for nW in range(nWedges-1):\n",
    "        wedgeAngle[nW] += random.uniform(-0.0001,0.0001)  #this wiggle solves a later indexing ambiguity for corner tracts\n",
    "    wedgeAngle[nWedges-1] = 2.*pi - (np.sum(wedgeAngle) - wedgeAngle[nWedges-1] ) #squaring up to 2pi total\n",
    "    startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "    for nW in range(1,nWedges):\n",
    "        startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "    endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "    #  TRIAL LOOP TO SEE WHICH WEDGES CAN FILL TO TARGET POP w/equiangle wedges\n",
    "    maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]    \n",
    "    maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "    willFill = [0] * nWedges #would this wedge meet its target with infinite radius?\n",
    "    for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "        iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "        #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList) \n",
    "        nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "        maxWedgePop[nW] += (iCP + nonCP)\n",
    "        wedgeList[nW] = Li + Ln\n",
    "        if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "            willFill[nW] = 1\n",
    "     \n",
    "    if np.sum(willFill) < nWedges:  #at least one wedge couldn't reach its wedgePop target (went over boundary) ...\n",
    "        minW = maxWedgePop.index(np.min(maxWedgePop)) #.. so we will orient the 0th wedge to face the shortest wedgePop's closest boundary\n",
    "        exitAngle = getExitAngle(hdCP[t],maxWedgePoly[minW], MAPhull, startAngle[minW], endAngle[minW])\n",
    "        angle0[t] = exitAngle - 0.5*(2.*pi / nWedges)  #Now reset all angles based on new starting orientation.  All wedge angles still equal\n",
    "        startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "        for nW in range(1,nWedges):\n",
    "            startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "        endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "        maxWedgePoly = [buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]\n",
    "        \n",
    "        willFill = [0]*nWedges\n",
    "        #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation (wedge angles still constant)\n",
    "        maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop        \n",
    "        for nW in range(nWedges):   #... then add in-county and nonCounty wedge Pop from contiguous chain of counties\n",
    "            iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "            #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "            nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                    opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "            maxWedgePop[nW] += (iCP + nonCP)\n",
    "            wedgeList[nW] = Li + Ln\n",
    "            if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                willFill[nW] = 1       \n",
    "    \n",
    "    if np.sum(willFill) < nWedges:  #check if we need to modify wedge angles after possible re-orientation.  \n",
    "        # If so, re-draw maxWedgePoly's, re-calc maxWedgePops\n",
    "        nUnfilledWedges = nWedges - np.sum(willFill)\n",
    "        isChange, newInclA = getNewAngles(maxWedgePop, targetWedgePop, aDP, levelL, minAdjRatio, maxAngle, maxAngleRatio, nUnfilledWedges )\n",
    "        if isChange: #no longer equi-angle\n",
    "            newStartAngle = [0.5*(startAngle[nW]+endAngle[nW]) - 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            newEndAngle =   [0.5*(startAngle[nW]+endAngle[nW]) + 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            startAngle, endAngle, wedgeAngle = newStartAngle.copy(), newEndAngle.copy(), newInclA.copy()\n",
    "            maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], \n",
    "                                        maxD/math.cos(0.5*wedgeAngle[nW]), xScale ) for nW in range(nWedges) ]\n",
    "            willFill = [0]*nWedges\n",
    "            #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation and new wedge angles\n",
    "            maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "            for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "                iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])                \n",
    "                #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "                nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                        opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "                maxWedgePop[nW] += (iCP + nonCP)\n",
    "                wedgeList[nW] = Li + Ln\n",
    "            minW = wedgeAngle.index(np.max(wedgeAngle)) #should be 0th wedge, but playing it safe.  This is the 1st wide-angle wedge ..\n",
    "            oppW = int(int(minW+nWedges/2)%nWedges)   #and its opposite\n",
    "            if maxWedgePop[minW] > maxWedgePop[oppW] and maxWedgePop[oppW] < aDP / nWedges:  #minW and oppW are flipped after inclA adjmt\n",
    "                oppW = minW\n",
    "                minW = int(int(minW+nWedges/2)%nWedges)\n",
    "            if maxWedgePop[minW] < targetWedgePop[oppW]:  #we need to constrain oppW in this HD2 implementation; redistribute tgt to adjacents\n",
    "                maxNonOppW = np.sum(maxWedgePop) - maxWedgePop[oppW] #...but only if other wedges can pick up slack; need to check\n",
    "                minOppWedgePop = aDP - maxNonOppW  #cannot set oppW target below this or we won't reach aDP across all wedges\n",
    "                barredList = [oppW]\n",
    "                targetWedgePop[oppW] = max(minOppWedgePop, maxWedgePop[minW] + oppWt * (targetWedgePop[oppW] - maxWedgePop[minW]) )\n",
    "                tWPgap = aDP / float(nWedges) - targetWedgePop[oppW] \n",
    "                for nW in range(nWedges):\n",
    "                    if nW != minW and nW != oppW:\n",
    "                        targetWedgePop[nW] += tWPgap/float(nWedges - 2.)  #if oppW target is limited, allot to adjacent wedges\n",
    "            for nW in range(nWedges):\n",
    "                if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                    willFill[nW] = 1  \n",
    "    \n",
    "    if abs(np.sum(targetWedgePop) / aDP - 1.) > 0.001:\n",
    "        raise Exception(\"FAIL! Our target wedgepops\",targetWedgePop, np.sum(targetWedgePop),\"no longer add up to\",aDP)\n",
    "    \n",
    "    if np.sum(willFill) == nWedges:  #all wedges will fill.  Will any leave a small near-boundary remnant?  If so, pick up smallest remnant\n",
    "        remnantWedgePopFrac = [ ( maxWedgePop[w] - targetWedgePop[w] )/targetWedgePop[w] for w in range(nWedges) ]\n",
    "        if np.min(remnantWedgePopFrac) < maxUncap :  #lessen tWP's of *adjacent* wedges, then increase this wedge's target --> max\n",
    "            minW = remnantWedgePopFrac.index(np.min(remnantWedgePopFrac))\n",
    "            oppW = int((minW+nWedges/2)%nWedges)\n",
    "            #print(\"filling to boundary for tract,wedge, tWP, mWP =\",t,minW, r3(targetWedgePop[minW]), maxWedgePop[minW])\n",
    "            for nW in range(nWedges):\n",
    "                if nW != minW and nW != oppW:\n",
    "                    targetWedgePop[nW] -= (remnantWedgePopFrac[minW] * targetWedgePop[minW] ) / (nWedges - 2.)\n",
    "            targetWedgePop[minW] = maxWedgePop[minW]\n",
    "            #       OK, READY TO SOLVE FOR NON-FILLED WEDGE SIZES once we adjust targets for unfilled wedges\n",
    "    #print(t,\" prior to rebalanceTWP call, mWPs, tWPs are\",maxWedgePop, targetWedgePop)\n",
    "    targetWedgePop, willFill = rebalanceTWPs(maxWedgePop, targetWedgePop, barredList)\n",
    "    #if np.max(targetWedgePop) - np.min(targetWedgePop) > 0.02 * aDP: #debug\n",
    "    #    print(\"for tract\",t,\",  After rebalancing but before tweaks for blocky pop adds: willFill, targetWedgePops and maxWedgePops are ...\")\n",
    "    #    for w in range(nWedges):\n",
    "    #        print(w, willFill[w],r3(targetWedgePop[w]),int(maxWedgePop[w]) )\n",
    "    for w in range(nWedges):  #WHEW!  WE CAN FINALLY ASSIGN ALL WEDGES' POPS AND TRACTLISTS\n",
    "        loop = 0\n",
    "        if willFill[w] == 0:  #wedge is maxed out\n",
    "            wedgePop[w] = maxWedgePop[w]\n",
    "            #wedgeList[w] = ...  #we already captured this list = maxWedge list\n",
    "            HDradius[t][w] = maxD/math.cos(0.5*wedgeAngle[w])\n",
    "        else:  #need to solve for wedge radius to meet targetPop.  Use bisection as scipy minimize no faster\n",
    "            HDcpWP = hdCPpop[t] * wedgeAngle[w]/(2.*pi)\n",
    "            nonHDcpTWP = targetWedgePop[w] - HDcpWP\n",
    "            #wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeB(nontractTWP,t,hC,maxWedgePoly[w],tolerPop,tractCP, tractPop,\n",
    "            #                                                        countyNo,countyTractList,countyGeom, neighborCountyList,uuDist[t])\n",
    "            wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeC(nonHDcpTWP,t,hC, maxWedgePoly[w],startAngle[w], endAngle[w], tolerPop,\n",
    "                                                                    hdCP, hdCPpop,HDcountyNo, countyHDlist,countyGeom,\n",
    "                                                                    opt2nbrCtyList,uuDist[t],uuAngle[t])\n",
    "            popGap = nonHDcpTWP - wedgePop[w]  #gap between target and solved wedge pop; can be negative\n",
    "            notYetAdjusted, nextW = True, w+1  #looking to adjust a later wedge's target pop to minimize drift in total HD pop\n",
    "            while notYetAdjusted and nextW < nWedges:\n",
    "                if willFill[nextW] == 1 and maxWedgePop[nextW] > targetWedgePop[nextW] + popGap :  #can accommodate\n",
    "                    targetWedgePop[nextW] += popGap\n",
    "                    notYetAdjusted = False\n",
    "                nextW +=1          \n",
    "\n",
    "        HDangle[t][w] = startAngle[w]\n",
    "    #print(t,\"tract. After TWP adjustment, targetWedgePops are\",targetWedgePop)\n",
    "    HDtractList[t] = [t]\n",
    "    totPop = hdCPpop[t]\n",
    "    for nW in range(nWedges):\n",
    "        for tt in wedgeList[nW]:\n",
    "            HDtractList[t].append(tt)  #building the list of tracts in the Home District  (we'll keep up with below changes)\n",
    "            totPop += hdCPpop[tt]\n",
    "    offsetPop = totPop - aDP  #we have solved for all wedge radii to get each within one tractPop of target ... \n",
    "    HDvPop[t] = totPop\n",
    "    #if offsetPop > 0:   #... now include a splitPoly to nail the avg District Pop\n",
    "    #    isOver = True  #we slightly overshot.  ID the farthest-away tract for split-jettison\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], hdCPpop, neighborList)\n",
    "    #    HDvPop[t] = totPop - (1. - splitTractUse[t]) * tractPop[splitTractNo[t]]\n",
    "    #if offsetPop < 0:\n",
    "    #    isOver = False  #we have undershot.  Pick up the nearest contiguous tract that can be split to fill the gap\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], tractPop, neighborList)\n",
    "    #    HDtractList[t].append(splitTractNo[t])\n",
    "    #    HDvPop[t] = totPop + splitTractUse[t]*tractPop[splitTractNo[t]]       \n",
    "    #if abs(1. - HDvPop[t]/aDP) > 0.005 :  #something went wrong with pop assignation for this HD\n",
    "    #    print(\"WARNING! Total Home District pop was\",HDvPop[t],\"vs target\",aDP,\"for tract\",t)   ##### hdCP topology not yet known; skip partial\n",
    "        \n",
    "    HDPoly1[t] = dummyPoly  #tractGeom[t] #skip constructing the HD poly shape.  Do compute area of the Home District, including final partial\n",
    "    HDarea[t] = 0.\n",
    "    for tt in HDtractList[t]:\n",
    "        if tt == splitTractNo[t]:\n",
    "            tractUse[tt] += nDistricts * HDweight[t] * splitTractUse[t] \n",
    "            #HDarea[t]   += tractArea[tt] * splitTractUse[t]  #these are original (nonsquished) areas\n",
    "            \n",
    "        else:\n",
    "            tractUse[tt] += nDistricts * HDweight[t]\n",
    "            #HDarea[t]    += tractArea[tt]\n",
    "            #HDPoly1[t] = HDPoly1[t].union(tractGeom[tt])\n",
    "    HDPoly1[t] = buildPoly(hdCP[t],HDradius[t], HDangle[t] )\n",
    "    #HDarea[t] = HDPoly1[t].area + splitTractUse[t] * tractArea[splitTractNo[t]]  \n",
    "    #if splitTractUse[t] > 0.5:\n",
    "    #    HDPoly1[t] = HDPoly1[t].union(tractGeom[splitTractNo[t]])\n",
    "                          \n",
    "    #ALL DONE ESTABLISHING THE FINAL HDTRACTLIST.  FINALIZE STATS\n",
    "totalTime = time.time() - codeStartTime\n",
    "print(r3(totalTime),\"seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\")\n",
    "n_bins=50\n",
    "popTractUse, plotWts = [tractUse[t] for t in populatedTractList], [HDweight[t] for t in populatedTractList]\n",
    "\n",
    "origHDuseAvg, origHDuseSD = getWeightedAvgAndSD(tractUse,HDweight)\n",
    "print(\"vtd avg and sd usage are\",r5(origHDuseAvg), r5(origHDuseSD) )\n",
    "\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "ax.hist(popTractUse, bins=n_bins, weights=plotWts)\n",
    "plt.show()\n",
    "HDvPop = [np.sum([hdCPpop[tt] for tt in HDtractList[t]]) for t in range(nHDs)]\n",
    "plt.scatter([hdCPpop[t] for t in HDsToDraw],[HDvPop[t] for t in HDsToDraw] )\n",
    "print(\"here are your HD pops\")\n",
    "plt.axhline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "origHDHDtractList = [HDtractList[t].copy() for t in range(nHDs)] #save for posterity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "41b4b4e2-69fd-4829-84eb-d9255376ca1e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we will write the VRA-respecting polygon-based results to a file; uncomment last line to save to file\n"
     ]
    }
   ],
   "source": [
    "#last block of option 2 (i.e. generating polygonal HDs from scratch)\n",
    "DATE = \"19Sep\"\n",
    "print(\"Now we will write the VRA-respecting polygon-based results to a file; uncomment last line to save to file\")\n",
    "HDweight = [tractPop[t]/statePop for t in range(nHDs)]\n",
    "tractNo = [t for t in range(nHDs) ]\n",
    "HDangle0 = [HDangle[t][0] for t in range(nHDs) ]\n",
    "HDangle1 = [HDangle[t][1] for t in range(nHDs) ]\n",
    "HDangle2 = [HDangle[t][2] for t in range(nHDs) ]\n",
    "HDangle3 = [HDangle[t][3] for t in range(nHDs) ]\n",
    "HDradius0 = [HDradius[t][0] for t in range(nHDs)]\n",
    "HDradius1 = [HDradius[t][1] for t in range(nHDs)]\n",
    "HDradius2 = [HDradius[t][2] for t in range(nHDs)]\n",
    "HDradius3 = [HDradius[t][3] for t in range(nHDs)]\n",
    "hdCPx, hdCPy =   [hdCP[t].x for t in range(nHDs)], [hdCP[t].y for t in range(nHDs)]\n",
    "isVRAcore, isVRAenv = [0]*nHDs,[0]*nHDs\n",
    "polyHDtractList = [HDtractList[t].copy() for t in range(nHDs) ]  #safekeeping\n",
    "for t in coreVTDs+envelopeVs:\n",
    "    HDtractList[t] = VRAvtdList[t].copy()  #overwrite\n",
    "    HDvPop[t] = np.sum([tractPop[v]  for v in HDtractList[t] ])\n",
    "    HDarea[t] = np.sum([tractArea[v] for v in HDtractList[t] ])\n",
    "    if t in coreVTDs:\n",
    "        isVRAcore[t] = 1\n",
    "    if t in envelopeVs:\n",
    "        isVRAenv[t]  = 1\n",
    "\n",
    "paramList = [\"STATE\",\"statePop\",\"nDistricts\",\"nHDs\",\"nWedges\",\"popn-toler\",\"levelL\", \"maxAngleRatio\",\n",
    "             \"maxAngle\",\"minAdjRatio\",\"maxUncap\", \"oppWt\", \"calc sec\",\"xScale\",\"outputs...\"]\n",
    "paramValues = [STATE,statePop, nDistricts, nHDs, nWedges, tolerPop, levelL, maxAngleRatio, maxAngle, minAdjRatio, maxUncap,\n",
    "               oppWt, totalTime, xScale, -777]\n",
    "for i in range(nHDs-len(paramList)):\n",
    "    paramList.append(\".\")\n",
    "    paramValues.append(-99)  #so all columns have same number of entries, even the parameter list\n",
    "HDdf = pd.DataFrame( {\"paramList\": paramList,\"paramValues\":paramValues,\"countyNo\":HDcountyNo,\n",
    "                    \"tractNo\":tractNo,\"centroid x\":hdCPx,\"centroid y\":hdCPy,\"tractPop\":hdCPpop,\n",
    "                    \"HDweight\":HDweight,\"HD-pop\":HDvPop,\"HDarea\":HDarea, \"countyNo\":countyNo,\n",
    "                    \"startAngle\":angle0,\"HDangle0\":HDangle0,\"HDangle1\":HDangle1,\"HDangle2\":HDangle2,\"HDangle3\":HDangle3,\n",
    "                    \"HDradius0\":HDradius0,\"HDradius1\":HDradius1,\"HDradius2\":HDradius2, \"HDradius3\":HDradius3,\"tractUse\":tractUse,\n",
    "                    \"splitTractNo\":splitTractNo,\"splitTractUse\":splitTractUse,\"HDtractList\":HDtractList,\n",
    "                    \"isVRAcore\":isVRAcore, \"isVRAenv\":isVRAenv}) \n",
    "\n",
    "outname = STATE+str(int(nHDs))+\"VRA_\"+str(int(nDistricts))+\"nW4_\"+DATE+\".csv\"  #solveWedgeC\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "HDdf.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "ea5e42fb-a6f7-4c1b-9a8a-99dc48d869e8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "like nonVRA states, create HDunitLists based on each HD's tractList, with in-out for multiVTD units\n"
     ]
    }
   ],
   "source": [
    "#copy from vanilla HD for converting to unit lists, discontiguities, equalizing pop, equalizing use ...\n",
    "print(\"like nonVRA states, create HDunitLists based on each HD's tractList, with in-out for multiVTD units\")\n",
    "coldRestart = False\n",
    "if coldRestart:\n",
    "    infilename = input(\"enter the original HD polygon shape assignment csv, \"+ \n",
    "                       \"e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv\")\n",
    "    shapeDF = pd.read_csv(infilename)\n",
    "    HDvPop = shapeDF[\"HD-pop\"].to_list()\n",
    "    HDweight = shapeDF['HDweight'].to_list() #shapeDF['HDwt'].to_list() or #shapeDF['HDweight'].to_list()\n",
    "    HDarea = shapeDF['HDarea'].to_list()\n",
    "    #tractPop = shapeDF['tractPop'].to_list()   #we will use vtd-mapped pops instead\n",
    "    nHDs = len(shapeDF)\n",
    "    hdCPx = shapeDF['centroid x'].to_list()   #note: these may be translated from outcroppings into a convex representation of the map\n",
    "    hdCPy = shapeDF['centroid y'].to_list()\n",
    "    hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs) ]\n",
    "    HDtractListString = shapeDF[\"HDtractList\"]\n",
    "    HDtractList = [ast.literal_eval(HDtractListString[t]) for t in range(nHDs)]\n",
    "    isVRAcore = shapeDF['isVRAcore']\n",
    "    isVRAenv = shapeDF['isVRAenv']\n",
    "    HDpoly = [dummyPoly for t in range(nHDs)]\n",
    "    print(\"OK, I have read in the polygon-based results, ready to assign units\")\n",
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if HDweight[t] > 0.000001:\n",
    "        popHDlist.append(t)  #this now includes districts with VRA cores, as they may need triage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "d9f3d82b-6d42-4004-9144-2be3326e021a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vtd avg and sd usage are 0.99953 0.13846\n",
      "here are the tract uses\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your HD pops vs avg district pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the sum of HD weight is 1.0\n"
     ]
    }
   ],
   "source": [
    "tractUse = [0.]*nHDs\n",
    "for t in range(nHDs):\n",
    "    for tt in HDtractList[t]:\n",
    "        tractUse[tt] += HDweight[t]*nDistricts\n",
    "origHDuseAvg, origHDuseSD = getWeightedAvgAndSD(tractUse,HDweight)\n",
    "print(\"vtd avg and sd usage are\",r5(origHDuseAvg), r5(origHDuseSD) )\n",
    "\n",
    "\n",
    "plt.hist([tractUse[t] for t in coreVTDs],weights=[HDweight[t] for t in coreVTDs],label=\"VRA\",histtype=\"step\")\n",
    "plt.hist([tractUse[t] for t in envelopeVs],weights=[HDweight[t] for t in envelopeVs],label=\"envel\",histtype=\"step\")\n",
    "plt.hist([tractUse[t] for t in HDsToDraw],weights=[HDweight[t] for t in HDsToDraw],label=\"other\",histtype=\"step\")\n",
    "plt.legend()\n",
    "print(\"here are the tract uses\")\n",
    "plt.show()\n",
    "\n",
    "HDvPop = [np.sum([tractPop[tt] for tt in HDtractList[t]]) for t in range(nHDs)]\n",
    "plt.hist([HDvPop[t] for t in coreVTDs+envelopeVs],label=\"VRA\",bins=50 ,histtype=\"step\")\n",
    "plt.hist([HDvPop[t] for t in HDsToDraw],label=\"nonVRA\",bins=50,histtype=\"step\" )\n",
    "plt.legend()\n",
    "print(\"here are your HD pops vs avg district pop\")\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "print(\"the sum of HD weight is\",np.sum(HDweight) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "a6d512fd-5ffc-4154-8374-c9fa80a0e362",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "incounty VRA HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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dZlyboKAg7dixQzNmzNDw4cN1+vRptWjRQgMGDFBISEidagQAoD40noASFH7+6a5rJ9bP9vyCzm/TAd7e3po5c6ZmzpxZpa1Lly765JNPavzs8uXLq10eFRWlFStWOFQHAADu1ngCijX2/KPneRcPAACm13gCinQ+MBAaAAAwPS6SBQAApkNAAQAApkNAAQAApuOxAeVS3hsE82L8AKBx87iA4ufnJ0kqKSlxcyW4HBfG78J4AgAaF4+7i8fHx0dWq1XHjh2TdP5hZRfe5AvzMwxDJSUlOnbsmKxWq3x8fNxdEgDADTwuoEjnH04myRZS0PBYrVbbOAIAGh+PDCheXl6Kjo5WRESEysvL3V0OHOTn58eREwBo5DwyoFzg4+PDFx0AAA2Qx10kCwAAGj4CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB2PflkgAACNTn6OVHKi5vbjB+uvlstAQAEAwFPk50ipfaTyktr7+QVJQeH1U1MdOXyKZ8eOHRo2bJhiYmLk5eWldevW2bV7eXlVO73wwgu2Pq1bt67SvmDBgsveGQAAGrWSE+fDyfAl0qTtNU+Jn0vWWHdXWyuHj6AUFxerW7duuu+++zR8+PAq7UePHrWb/9///V9NmDBBI0aMsFs+f/58TZw40TYfHBzsaCkAAKA6zTtIMd3dXcVlcTigJCQkKCEhocb2qKgou/n3339f/fv3V9u2be2WBwcHV+kLAAAgufgunry8PH344YeaMGFClbYFCxYoPDxcPXr00AsvvKCKigpXlgIAABoQl14ku2LFCgUHB1c5FfTwww+rZ8+eCgsL02effabk5GQdPXpUL7/8crXrKS0tVWlpqW2+sLDQlWUDAAA3c2lAefPNNzVmzBgFBATYLU9KSrL93LVrV/n7++uBBx5QSkqKLBZLlfWkpKRo3rx5riwVAACYiMtO8Xz66afKyMjQ/ffff9G+cXFxqqio0A8//FBte3JysgoKCmxTTk6Ok6sFAABm4rIjKEuXLlWvXr3UrVu3i/ZNT0+Xt7e3IiIiqm23WCzVHlkBAACeyeGAUlRUpMzMTNt8dna20tPTFRYWppYtW0o6f43Iu+++q5deeqnK59PS0rRnzx71799fwcHBSktL0/Tp03XPPfeoWbNml7ErAADAUzgcUPbu3av+/fvb5i9cTzJu3DgtX75ckrRmzRoZhqFRo0ZV+bzFYtGaNWs0d+5clZaWqk2bNpo+fbrddSkAAKBxczig9OvXT4Zh1Npn0qRJmjRpUrVtPXv21O7dux3dLAAAaER4mzEAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdhwPKjh07NGzYMMXExMjLy0vr1q2zax8/fry8vLzspiFDhtj1OXnypMaMGaOQkBBZrVZNmDBBRUVFl7UjAADAczgcUIqLi9WtWzelpqbW2GfIkCE6evSobfrb3/5m1z5mzBjt379fmzZt0vr167Vjxw5NmjTJ8eoBAIBH8nX0AwkJCUpISKi1j8ViUVRUVLVtBw4c0MaNG/XFF1+od+/ekqRFixZp6NChevHFFxUTE+NoSQAAwMO45BqUbdu2KSIiQldffbUeeughnThxwtaWlpYmq9VqCyeSNHDgQHl7e2vPnj2uKAcAADQwDh9BuZghQ4Zo+PDhatOmjbKysvTkk08qISFBaWlp8vHxUW5uriIiIuyL8PVVWFiYcnNzq11naWmpSktLbfOFhYXOLhsAAJiI0wPKyJEjbT936dJFXbt2Vbt27bRt2zYNGDCgTutMSUnRvHnznFUiAAAwOZffZty2bVs1b95cmZmZkqSoqCgdO3bMrk9FRYVOnjxZ43UrycnJKigosE05OTmuLhsAALiRywPKTz/9pBMnTig6OlqSFB8fr/z8fO3bt8/W55NPPlFlZaXi4uKqXYfFYlFISIjdBAAAPJfDp3iKiopsR0MkKTs7W+np6QoLC1NYWJjmzZunESNGKCoqSllZWXr88cfVvn17DR48WJLUqVMnDRkyRBMnTtTixYtVXl6uyZMna+TIkdzBAwAAJNXhCMrevXvVo0cP9ejRQ5KUlJSkHj16aPbs2fLx8dE333yj22+/XR06dNCECRPUq1cvffrpp7JYLLZ1rFq1Sh07dtSAAQM0dOhQ3XjjjXr99dedt1cAAKBBc/gISr9+/WQYRo3tH3300UXXERYWptWrVzu6aQAA0EjwLh4AAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6DgeUHTt2aNiwYYqJiZGXl5fWrVtnaysvL9eMGTPUpUsXNWnSRDExMbr33nt15MgRu3W0bt1aXl5edtOCBQsue2cAAIBncDigFBcXq1u3bkpNTa3SVlJSoi+//FKzZs3Sl19+qbVr1yojI0O33357lb7z58/X0aNHbdOUKVPqtgcAAMDj+Dr6gYSEBCUkJFTbFhoaqk2bNtkte/XVV9WnTx8dPnxYLVu2tC0PDg5WVFSUo5sHAACNgMuvQSkoKJCXl5esVqvd8gULFig8PFw9evTQCy+8oIqKihrXUVpaqsLCQrsJAAB4LoePoDji7NmzmjFjhkaNGqWQkBDb8ocfflg9e/ZUWFiYPvvsMyUnJ+vo0aN6+eWXq11PSkqK5s2b58pSAQCAibgsoJSXl+uuu+6SYRh67bXX7NqSkpJsP3ft2lX+/v564IEHlJKSIovFUmVdycnJdp8pLCxUbGysq0oHAABu5pKAciGc/Pjjj/rkk0/sjp5UJy4uThUVFfrhhx909dVXV2m3WCzVBhcAAOCZnB5QLoST77//Xlu3blV4ePhFP5Oeni5vb29FREQ4uxwAANAAORxQioqKlJmZaZvPzs5Wenq6wsLCFB0drf/4j//Ql19+qfXr1+vcuXPKzc2VJIWFhcnf319paWnas2eP+vfvr+DgYKWlpWn69Om655571KxZM+ftGQAAaLAcDih79+5V//79bfMXrg0ZN26c5s6dqw8++ECS1L17d7vPbd26Vf369ZPFYtGaNWs0d+5clZaWqk2bNpo+fbrdNSYAAKBxczig9OvXT4Zh1NheW5sk9ezZU7t373Z0swAAoBHhXTwAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0fN1dAAAAcK7MX4p01iiosb1ZE3+1sAbWY0WOI6AAAOAhjhWVKkLS1DXp2l9LQAn089HmR/qaOqQQUAAA8BCFZ8oVIenRQVfrig59qu2TeaxI095O16niMgIKAACoP7FhgWrfItTdZVwWhy+S3bFjh4YNG6aYmBh5eXlp3bp1du2GYWj27NmKjo5WYGCgBg4cqO+//96uz8mTJzVmzBiFhITIarVqwoQJKioquqwdAQAAnsPhgFJcXKxu3bopNTW12vbnn39ef/nLX7R48WLt2bNHTZo00eDBg3X27FlbnzFjxmj//v3atGmT1q9frx07dmjSpEl13wsAAOBRHD7Fk5CQoISEhGrbDMPQwoUL9dRTT+mOO+6QJK1cuVKRkZFat26dRo4cqQMHDmjjxo364osv1Lt3b0nSokWLNHToUL344ouKiYm5jN0BAACewKnPQcnOzlZubq4GDhxoWxYaGqq4uDilpaVJktLS0mS1Wm3hRJIGDhwob29v7dmzp9r1lpaWqrCw0G4CAACey6kBJTc3V5IUGRlptzwyMtLWlpubq4iICLt2X19fhYWF2fr8VkpKikJDQ21TbGysM8sGAAAm0yCeJJucnKyCggLblJOT4+6SAACACzk1oERFRUmS8vLy7Jbn5eXZ2qKionTs2DG79oqKCp08edLW57csFotCQkLsJgAA4LmcGlDatGmjqKgobdmyxbassLBQe/bsUXx8vCQpPj5e+fn52rdvn63PJ598osrKSsXFxTmzHAAA0EA5fBdPUVGRMjMzbfPZ2dlKT09XWFiYWrZsqWnTpulPf/qTrrrqKrVp00azZs1STEyM7rzzTklSp06dNGTIEE2cOFGLFy9WeXm5Jk+erJEjR3IHDwAAkFSHgLJ3717179/fNp+UlCRJGjdunJYvX67HH39cxcXFmjRpkvLz83XjjTdq48aNCggIsH1m1apVmjx5sgYMGCBvb2+NGDFCf/nLX5ywOwAAwBM4HFD69esnwzBqbPfy8tL8+fM1f/78GvuEhYVp9erVjm4aAAA0Eg3iLh4AANC4EFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpEFAAAIDpOD2gtG7dWl5eXlWmxMRESVK/fv2qtD344IPOLgMAgIYjP0c6kl77lJ/jvvrcwNfZK/ziiy907tw52/y3336rW2+9Vf/5n/9pWzZx4kTNnz/fNh8UFOTsMgAAaBjyc6TUPlJ5Se39/IKkxM8la2z91OVmTg8oV1xxhd38ggUL1K5dO/Xt29e2LCgoSFFRUc7eNAAADU/JifPhZPgSqXmH6vscPyitnXi+LwHl8pWVlemtt95SUlKSvLy8bMtXrVqlt956S1FRURo2bJhmzZpV61GU0tJSlZaW2uYLCwtdWTYAAPWveQcppru7qzANlwaUdevWKT8/X+PHj7ctGz16tFq1aqWYmBh98803mjFjhjIyMrR27doa15OSkqJ58+a5slQAAGAiLg0oS5cuVUJCgmJiYmzLJk2aZPu5S5cuio6O1oABA5SVlaV27dpVu57k5GQlJSXZ5gsLCxUb2zgOcQEA0Bi5LKD8+OOP2rx5c61HRiQpLi5OkpSZmVljQLFYLLJYLE6vEQCABuX4wVqbLfmZ9VSI67ksoCxbtkwRERG67bbbau2Xnp4uSYqOjnZVKQAANGxB4efv4lk7sdZusZJKDIvOBYTVT10u5JKAUllZqWXLlmncuHHy9f33JrKysrR69WoNHTpU4eHh+uabbzR9+nTdfPPN6tq1qytKAQCg4bPGnr/FuORErd0yfynSvX/L0utNW9RTYa7jkoCyefNmHT58WPfdd5/dcn9/f23evFkLFy5UcXGxYmNjNWLECD311FOuKAMAAM9hjb3oLcZnjQIdUUE9FeRaLgkogwYNkmEYVZbHxsZq+/btrtgkAADwILyLBwAAmA4BBQAAmA4BBQAAmA4BBQAAmA4BBQAAmA4BBQAAmA4BBQAAmA4BBQAAmA4BBQAAmA4BBQAAmA4BBQAAmA4BBQAAmI5LXhYIAAD+X36OVHKi5vbjB+uvlgaEgAIAgKvk50ipfaTyktr7+QVJQeH1U1MDQUABAMBVSk6cDyfDl0jNO9TcLyhcssbWX10NAAEFAABXa95Biunu7ioaFAIKAAB11YCvL8k8VlRjW0RxqSLqsZbqEFAAAKiLBnp9SbMm/gr089G0t9Nr7NPL70f9j0/91VQdAgoAAHXRQK8vaWEN1OZH+upUcVm17ZnHirTknWyJgAIAQAPWAK8vaWENVAtroLvLqBUPagMAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKbj9IAyd+5ceXl52U0dO3a0tZ89e1aJiYkKDw9X06ZNNWLECOXl5Tm7DAAA0IC55AjK7373Ox09etQ27dy509Y2ffp0/eMf/9C7776r7du368iRIxo+fLgrygAAAA2US95m7Ovrq6ioqCrLCwoKtHTpUq1evVq33HKLJGnZsmXq1KmTdu/ereuuu84V5QAAgAbGJUdQvv/+e8XExKht27YaM2aMDh8+LEnat2+fysvLNXDgQFvfjh07qmXLlkpLS6txfaWlpSosLLSbAACA53J6QImLi9Py5cu1ceNGvfbaa8rOztZNN92k06dPKzc3V/7+/rJarXafiYyMVG5ubo3rTElJUWhoqG2KjY11dtkAAMBEnH6KJyEhwfZz165dFRcXp1atWumdd95RYGBgndaZnJyspKQk23xhYSEhBQDgWvk5UsmJmtuPH6y/Whohl1yD8mtWq1UdOnRQZmambr31VpWVlSk/P9/uKEpeXl6116xcYLFYZLFYXF0qAADn5edIqX2k8pLa+/kFSUHh9VNTI+PygFJUVKSsrCyNHTtWvXr1kp+fn7Zs2aIRI0ZIkjIyMnT48GHFx8e7uhQAAC5NyYnz4WT4Eql5h5r7BYVLVo7ou4LTA8qjjz6qYcOGqVWrVjpy5IjmzJkjHx8fjRo1SqGhoZowYYKSkpIUFhamkJAQTZkyRfHx8dzBAwAwn+YdpJju7q6iUXJ6QPnpp580atQonThxQldccYVuvPFG7d69W1dccYUk6ZVXXpG3t7dGjBih0tJSDR48WH/961+dXQYAAGjAnB5Q1qxZU2t7QECAUlNTlZqa6uxNAwAAD8G7eAAAgOkQUAAAgOkQUAAAgOkQUAAAgOkQUAAAgOkQUAAAgOkQUAAAgOkQUAAAgOkQUAAAgOkQUAAAgOkQUAAAgOk4/V08AACYXn6OVHKi5vbjB+uvFlSLgAIAaFzyc6TUPlJ5Se39/IKkoPD6qQlVEFAAAI1LyYnz4WT4Eql5h5r7BYVL1tj6qwt2CCgAgMapeQcppru7q0ANuEgWAACYDgEFAACYDqd4AACehTt0PAIBBQDgObhDx2MQUAAAnoM7dDwGAQUA4Hm4Q6fBI6AAAGASP+ef0anislr7NGvirxbWwHqqyH0IKAAAmMDP+Wc08KXtOlN+rtZ+gX4+2vxIX48PKQQUAABM4FRxmc6Un9PCu7urfUTTavtkHivStLfTdaq4jIACAADqT/uIpurcItTdZbgdD2oDAACmQ0ABAACmQ0ABAACmQ0ABAACmQ0ABAACmQ0ABAACm4/SAkpKSomuvvVbBwcGKiIjQnXfeqYyMDLs+/fr1k5eXl9304IMPOrsUAADQQDk9oGzfvl2JiYnavXu3Nm3apPLycg0aNEjFxcV2/SZOnKijR4/apueff97ZpQAAgAbK6Q9q27hxo9388uXLFRERoX379unmm2+2LQ8KClJUVJSzNw8AADyAy69BKSgokCSFhYXZLV+1apWaN2+uzp07Kzk5WSUlJTWuo7S0VIWFhXYTAADwXC591H1lZaWmTZumG264QZ07d7YtHz16tFq1aqWYmBh98803mjFjhjIyMrR27dpq15OSkqJ58+a5slQAAGAiLg0oiYmJ+vbbb7Vz50675ZMmTbL93KVLF0VHR2vAgAHKyspSu3btqqwnOTlZSUlJtvnCwkLFxsa6rnAAQKPyc/4ZnSouq7VPsyb+Hv+CPjNxWUCZPHmy1q9frx07dujKK6+stW9cXJwkKTMzs9qAYrFYZLFYXFInAKBx+zn/jAa+tF1nys/V2i/Qz0ebH+lLSKknTg8ohmFoypQpeu+997Rt2za1adPmop9JT0+XJEVHRzu7HACAJ8nPkUpO1Nx+/KDDqzxVXKYz5ee08O7uah/RtNo+mceKNO3tdJ0qLiOg1BOnB5TExEStXr1a77//voKDg5WbmytJCg0NVWBgoLKysrR69WoNHTpU4eHh+uabbzR9+nTdfPPN6tq1q7PLAQB4ivwcKbWPVF7zTRWSJL8gKSjc4dW3j2iqzi1C61gcnM3pAeW1116TdP5hbL+2bNkyjR8/Xv7+/tq8ebMWLlyo4uJixcbGasSIEXrqqaecXQoAwJOUnDgfToYvkZp3qLlfULhk5TrFhs4lp3hqExsbq+3btzt7swCAhu5ST9807yDFdK+XkuA+Lr2LBwCAS+Li0zdoeAgoAAD3ayCnbzKPFdXYxm3IzkVAAQCYh0lP3zRr4q9APx9Nezu9xj6Xchtybc9bqS38NEYEFAAALqKFNVCbH+lba7i42G3Il/K8lUA/HzVr4u+Umhs6AgoAAJeghTXwsk7hXMrzVjhN9G8EFAAA6hHPW7k0Ln+bMQAAgKMIKAAAwHQIKAAAwHS4BgUAgAampluSPelWZQIKAAANxKU+j8UTblUmoAAA0EBc7HkskufcqkxAAQCgAbnc57E0FFwkCwAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIfbjAEAHu3n/DO1PjfEk56+6kkIKAAAj/Vz/hkNfGm7zpSfq7Wfpzx91ZMQUAAADVptR0gyjxXpTPk5Lby7u9pHNK1xHZ7y9FVPQkCpTn6OVHKi9j5B4ZI1tn7qAYBG6mKnZ04Ul+nB/95X6xGSQD8fXdsmjADSwBBQfis/R0rtI5WX1N7PL0hK/JyQAgAu4sjpmRX39VF4DadoODrSMBFQfqvkxPlwMnyJ1LxD9X2OH5TWTjzfl4ACAC5xqriM0zONGAGlJs07SDHd3V0FADR67SOaqnOLUHeXgXpGQAEAwElqu2WZ25kdQ0ABAOAyNWvir0A/H017O73WftzOfOkIKAAAt7lwl07A8SK1l5T5S5HOGgWSGtYRhxbWQG1+pG+tdxxJXC/jCAIKAMAtfn2Xzu+8svWhRZq6Jl37/z+gSA3riEMLayDhw4kIKAAAt/j1XTqdvUOl96Q/j+yus8272PpwxKHxcmtASU1N1QsvvKDc3Fx169ZNixYtUp8+fdxZknPxwDcAuKj2EU3V3uv8bcTtr2gqxXDHDtwYUN5++20lJSVp8eLFiouL08KFCzV48GBlZGQoIiLCXWU5Dw98AwCgztwWUF5++WVNnDhRf/jDHyRJixcv1ocffqg333xTTzzxhLvKcszxg7W3VfPAt2NFpSo8Uy5JsuRnKnbrVGX++KPOFodI4nAmAACSmwJKWVmZ9u3bp+TkZNsyb29vDRw4UGlpaVX6l5aWqrS01DZfUHD+AqrCwkLnF3e6SCo1zv+3pvVX+EvnAqS/3V/7unwDJWtnqemVkqQj+Wd0+xs7dba8UpLU0esX/d1i6MWVa3XIOL/fAb7eemTw1QoJ8HPaLgGAGf186ow6lH2v8h98Veh19OJ/96JeFJ0uVHnpGRXK+eNx4XvbMIyLdzbc4OeffzYkGZ999pnd8scee8zo06dPlf5z5swxJDExMTExMTF5wJSTk3PRrNAg7uJJTk5WUlKSbb6yslInT55UeHi4vLy83FhZw1BYWKjY2Fjl5OQoJCTE3eU0aoyFOTAO5sFYmEd9jIVhGDp9+rRiYmIu2tctAaV58+by8fFRXl6e3fK8vDxFRUVV6W+xWGSxWOyWWa1WV5bokUJCQvgLwCQYC3NgHMyDsTAPV49FaGjoJfXzdlkFtfD391evXr20ZcsW27LKykpt2bJF8fHx7igJAACYiNtO8SQlJWncuHHq3bu3+vTpo4ULF6q4uNh2Vw8AAGi83BZQ7r77bv3yyy+aPXu2cnNz1b17d23cuFGRkZHuKsljWSwWzZkzp8ppMtQ/xsIcGAfzYCzMw2xj4WUYl3KvDwAAQP1xyzUoAAAAtSGgAAAA0yGgAAAA0yGgAAAA0yGgeIjU1FS1bt1aAQEBiouL0+eff15j3yVLluimm25Ss2bN1KxZMw0cOLDW/nCMI2Pxa2vWrJGXl5fuvPNO1xbYSDg6Dvn5+UpMTFR0dLQsFos6dOigDRs21FO1ns3RsVi4cKGuvvpqBQYGKjY2VtOnT9fZs2frqVrPtWPHDg0bNkwxMTHy8vLSunXrLvqZbdu2qWfPnrJYLGrfvr2WL1/u8jptnPN2HbjTmjVrDH9/f+PNN9809u/fb0ycONGwWq1GXl5etf1Hjx5tpKamGl999ZVx4MABY/z48UZoaKjx008/1XPlnsfRsbggOzvbaNGihXHTTTcZd9xxR/0U68EcHYfS0lKjd+/extChQ42dO3ca2dnZxrZt24z09PR6rtzzODoWq1atMiwWi7Fq1SojOzvb+Oijj4zo6Ghj+vTp9Vy559mwYYMxc+ZMY+3atYYk47333qu1/6FDh4ygoCAjKSnJ+O6774xFixYZPj4+xsaNG+ulXgKKB+jTp4+RmJhomz937pwRExNjpKSkXNLnKyoqjODgYGPFihWuKrHRqMtYVFRUGNdff73xxhtvGOPGjSOgOIGj4/Daa68Zbdu2NcrKyuqrxEbD0bFITEw0brnlFrtlSUlJxg033ODSOhubSwkojz/+uPG73/3Obtndd99tDB482IWV/RuneBq4srIy7du3TwMHDrQt8/b21sCBA5WWlnZJ6ygpKVF5ebnCwsJcVWajUNexmD9/viIiIjRhwoT6KNPj1WUcPvjgA8XHxysxMVGRkZHq3Lmznn32WZ07d66+yvZIdRmL66+/Xvv27bOdBjp06JA2bNigoUOH1kvN+Le0tDS7sZOkwYMHX/J3y+VqEG8zRs2OHz+uc+fOVXkCb2RkpP71r39d0jpmzJihmJiYKv8jwjF1GYudO3dq6dKlSk9Pr4cKG4e6jMOhQ4f0ySefaMyYMdqwYYMyMzP1xz/+UeXl5ZozZ059lO2R6jIWo0eP1vHjx3XjjTfKMAxVVFTowQcf1JNPPlkfJeNXcnNzqx27wsJCnTlzRoGBgS7dPkdQGrkFCxZozZo1eu+99xQQEODuchqV06dPa+zYsVqyZImaN2/u7nIatcrKSkVEROj1119Xr169dPfdd2vmzJlavHixu0trdLZt26Znn31Wf/3rX/Xll19q7dq1+vDDD/X000+7uzTUM46gNHDNmzeXj4+P8vLy7Jbn5eUpKiqq1s+++OKLWrBggTZv3qyuXbu6ssxGwdGxyMrK0g8//KBhw4bZllVWVkqSfH19lZGRoXbt2rm2aA9Ulz8T0dHR8vPzk4+Pj21Zp06dlJubq7KyMvn7+7u0Zk9Vl7GYNWuWxo4dq/vvv1+S1KVLFxUXF2vSpEmaOXOmvL35d3V9iYqKqnbsQkJCXH70ROIISoPn7++vXr16acuWLbZllZWV2rJli+Lj42v83PPPP6+nn35aGzduVO/eveujVI/n6Fh07NhR//znP5Wenm6bbr/9dvXv31/p6emKjY2tz/I9Rl3+TNxwww3KzMy0BURJOnjwoKKjowknl6EuY1FSUlIlhFwIjgavjqtX8fHxdmMnSZs2bar1u8Wp6uVSXLjUmjVrDIvFYixfvtz47rvvjEmTJhlWq9XIzc01DMMwxo4dazzxxBO2/gsWLDD8/f2Nv//978bRo0dt0+nTp921Cx7D0bH4Le7icQ5Hx+Hw4cNGcHCwMXnyZCMjI8NYv369ERERYfzpT39y1y54DEfHYs6cOUZwcLDxt7/9zTh06JDx8ccfG+3atTPuuusud+2Cxzh9+rTx1VdfGV999ZUhyXj55ZeNr776yvjxxx8NwzCMJ554whg7dqyt/4XbjB977DHjwIEDRmpqKrcZw3GLFi0yWrZsafj7+xt9+vQxdu/ebWvr27evMW7cONt8q1atDElVpjlz5tR/4R7IkbH4LQKK8zg6Dp999pkRFxdnWCwWo23btsYzzzxjVFRU1HPVnsmRsSgvLzfmzp1rtGvXzggICDBiY2ONP/7xj8apU6fqv3APs3Xr1mr/7r/w+x83bpzRt2/fKp/p3r274e/vb7Rt29ZYtmxZvdXrZRgcMwMAAObCNSgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0/g/APqbKNoNMJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"incounty VRA HD pops\")\n",
    "plt.hist([np.sum([tractPop[v] for v in set(VRAvtdList[t]).intersection(set(countyTractList[countyNo[t]])) ])/aDP for t in envelopeVs ],\n",
    "        label=\"envelope\",histtype=\"step\",bins=50)\n",
    "plt.hist([np.sum([tractPop[v] for v in set(VRAvtdList[t]).intersection(set(countyTractList[countyNo[t]])) ])/aDP for t in coreVTDs],\n",
    "        label=\"core\",histtype=\"step\",bins=50)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "783532e9-3cba-48dd-b91e-8c9a0435f7e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6616\n"
     ]
    }
   ],
   "source": [
    "print(nUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "d6686f68-0585-49b8-ac4f-5c769615ee60",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\n",
      "working on vtd --> unit conversion for HD 1 last HD had pop 727829.413\n",
      "working on vtd --> unit conversion for HD 1001 last HD had pop 791563.126\n",
      "working on vtd --> unit conversion for HD 2001 last HD had pop 734286.694\n",
      "working on vtd --> unit conversion for HD 3001 last HD had pop 740393.795\n",
      "working on vtd --> unit conversion for HD 4001 last HD had pop 780554.745\n",
      "working on vtd --> unit conversion for HD 5001 last HD had pop 786052\n",
      "working on vtd --> unit conversion for HD 6001 last HD had pop 785713.861\n",
      "working on vtd --> unit conversion for HD 7001 last HD had pop 784159.749\n",
      "working on vtd --> unit conversion for HD 8001 last HD had pop 784824.266\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\" )\n",
    "HDunitList = [ list() for t in range(nHDs) ]\n",
    "CCBpopFrac = [ [0. for ccb in CCBlist] for t in range(nHDs) ]\n",
    "for t in range(nHDs):\n",
    "    if t %1000 == 1:\n",
    "        print(\"working on vtd --> unit conversion for HD\",t,\"last HD had pop\",r3( np.sum([unitPop[u] for u in HDunitList[t-1]]) ) )\n",
    "    capturedCountyPop = [0. for c in range(nCounties)]\n",
    "    capturedCCBpop = [0. for i in range(nCCBs)]\n",
    "    for v in HDtractList[t]:\n",
    "        c = HDcountyNo[v]\n",
    "        if c in range(nCounties):  #we assigned countyno = -999 to unpopulated tracts\n",
    "            if c in unitCounties:\n",
    "                capturedCountyPop[c] += tractPop[v]\n",
    "            elif c in allFusedCounties:\n",
    "                for i, L in enumerate(CCBlist):\n",
    "                    if c in L:\n",
    "                        capturedCCBpop[i] += tractPop[v]\n",
    "            else:  #this vtd not part of a unit or fused county.  Could be split into fragments\n",
    "                for u in countyUnitList[c]:\n",
    "                    if unitParentVTDno[u] == v :  #we assign all units = vtd fragments from this HDTL-captured vtd\n",
    "                        HDunitList[t].append(u)\n",
    "    for c in unitCounties:\n",
    "        if capturedCountyPop[c] > 0.5 * countyPop[c]:\n",
    "            HDunitList[t].append(allUnits.index(c+0.5))\n",
    "    for i in range(nCCBs):  #don't yet assign in/out CCBs.  We'll do so in below block.  Just update max possible use for each CCB\n",
    "        CCBpopFrac[t][i] = capturedCCBpop[i] / CCBpop[i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "d645165b-4c82-42fd-8da3-f26c7c8b9d95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing conversion to units.  Determine each CCB's use if we add it to all adjoining HDs\n",
      "CCBno 0 with pop 97574.0 would be used 1.473 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 1 with pop 58240.0 would be used 1.408 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 2 with pop 37102.0 would be used 1.386 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n"
     ]
    },
    {
     "data": {
      "image/png": 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oUIvBpXE/jWJiYpSVlaUNGza4LLjYNTk3OztbBQUF+s1vfiNPT095enpq9+7dWr58uTw9PRUeHq7q6uorBio/P982UBEREVdcZdT4vrHN5Xx8fBQUFNTkBQBAV/Xrr79q27ZtSk1NbRJaGjWe2di+fbsKCws1b968Zvu5/AzIPzp48KCys7M1cuRIu2orKSlRjx497NrGkewKLnfeeaeOHDminJwc22v48OF68MEHbX/38vLSrl27bNt8//33OnPmjBITEyVJiYmJOnLkiAoKCmxtduzYoaCgIMXHd87UCwBAR8rNzZVhGBo4cOBV2504cUKSrtmu0a233qrAwEB5e3vrt7/9rX73u9/poYceanVde/fuVWZmpmbMmNHqbRzNrlNF1113nW666aYmywICAhQaGmpbPm3aNM2ePVs9evRQUFCQnnzySSUmJmrUqFGSpHHjxik+Pl5TpkzR0qVLZbVatWDBAqWmpsrHx8dBhwUAgHkZhuHQdo0yMzM1aNAg1dTU6OjRo3ryyScVEhKiV1999ZrbHj16VCkpKVq4cKHGjRtn134dqU1XFV3Nm2++KXd3d02aNElVVVVKTk7WO++8Y1vv4eGhzZs3a+bMmUpMTFRAQICmTp2qxYsXO7oUAABMacCAAXJzc7NNwG1JXFycJOm7776zndm4mujoaMXGxkqSBg0apB9//FEvvPCCFi1adNW5q8ePH9edd96pGTNmaMGCBXYcieO1O7h8+eWXTd77+voqIyNDGRkZLW7Tt29fbd26tb27BgCgS+rRo4eSk5OVkZGhp5566op5LsXFxbJYLBo3bpx69uyppUuXNpmce3m7lnh4eKi2tlbV1dUtBpdjx45p7Nixmjp1qpYsWdKu43IEnlUEAEAnlJGRobq6Oo0YMULr16/XiRMn9O2332r58uW2b1cCAgL0/vvva8uWLbrnnnu0c+dOnT59WgcPHtS8efP0+OOPN+nzwoULslqt+vnnn/X5559r2bJlGjNmTIsXvRw9elRjxozRuHHjNHv2bFmtVlmtVp0/f97px98Sh58qAgDALE6WnOy0+4mJidGhQ4e0ZMkSzZkzR3l5eerVq5eGDRumlStX2tqlpKRo7969Sk9P1wMPPGC7ZcjYsWOb3CRWku0GsR4eHoqMjNT48eOv+i3Kf/3Xf+n8+fP66KOP9NFHH9mW9+3bV6dPn7b7mByB4AIA6HZCfELk5+mn+X+b32H79PP0U4hPiF3bREZGasWKFVqxYsVV2w0fPlzr169vcX2/fv3snsgrSYsWLdKiRYvs3s6ZCC4AgG4nMjBSm1I28awiEyK4AAC6pcjASIKECTE5FwAAmAbBBQAAmAbBBQAAmAbBBQDQLbTlqhrYz9njTHABAHRpXl5ekqSKigoXV9I9NI5z47g7GlcVAQC6NA8PD1ksFhUUFEiS/P395ebm5uKquh7DMFRRUaGCggJZLBZ5eHg4ZT8EFwBAlxcRESFJtvAC57FYLLbxdgaCCwCgy3Nzc1NkZKTCwsJUU1Pj6nK6LC8vL6d909KI4AIA6DY8PDyc/osVzsXkXAAAYBoEFwAAYBoEFwAAYBoEFwAAYBoEFwAAYBoEFwAAYBoEFwAAYBoEFwAAYBoEFwAAYBoEFwAAYBoEFwAAYBoEFwAAYBoEFwAAYBoEFwAAYBoEFwAAYBqeri4AQMvOFVeqqLy6VW19C8sUKyn3fJkuGSVOqSckwFu9LX5O6RsAWoPgAnRS54orlfT6blXW1LWq/WC3U9riIz29NkfHnBRc/Lw8tHPOaMILAJchuACdVFF5tSpr6vTW5ATFhgVes71vYbC0UVp2f4Iu9Rzi8HpyC8qUlpmjovJqggsAlyG4AJ1cbFigbuodfO2Gbg3hJrZXoBTVivYAYEJMzgUAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcAEAAKZhV3BZuXKlbr75ZgUFBSkoKEiJiYn6/PPPbesvXbqk1NRUhYaGKjAwUJMmTVJ+fn6TPs6cOaMJEybI399fYWFhmjt3rmprax1zNAAAoEuzK7hcf/31evXVV5Wdna2DBw9q7NixSklJ0bFjxyRJzzzzjD777DOtW7dOu3fv1i+//KKJEyfatq+rq9OECRNUXV2tvXv36sMPP9Tq1av14osvOvaoAABAl+RpT+O77767yfslS5Zo5cqV2rdvn66//np98MEHWrNmjcaOHStJWrVqlQYNGqR9+/Zp1KhR+uKLL3T8+HHt3LlT4eHhSkhI0EsvvaRnn31WixYtkre3t+OODAAAdDltnuNSV1entWvXqry8XImJicrOzlZNTY2SkpJsbQYOHKg+ffooKytLkpSVlaUhQ4YoPDzc1iY5OVmlpaW2b22aU1VVpdLS0iYvAADQ/dgdXI4cOaLAwED5+Pjo8ccf18aNGxUfHy+r1Spvb29ZLJYm7cPDw2W1WiVJVqu1SWhpXN+4riXp6ekKDg62vaKjo+0tGwAAdAF2B5cbb7xROTk52r9/v2bOnKmpU6fq+PHjzqjNZv78+SopKbG9zp4969T9AQCAzsmuOS6S5O3trdjYWEnSsGHD9M0332jZsmWaPHmyqqurVVxc3ORbl/z8fEVEREiSIiIidODAgSb9NV511NimOT4+PvLx8bG3VAAA0MW0+z4u9fX1qqqq0rBhw+Tl5aVdu3bZ1n3//fc6c+aMEhMTJUmJiYk6cuSICgoKbG127NihoKAgxcfHt7cUAADQxdn1jcv8+fN11113qU+fPrp48aLWrFmjL7/8Utu3b1dwcLCmTZum2bNnq0ePHgoKCtKTTz6pxMREjRo1SpI0btw4xcfHa8qUKVq6dKmsVqsWLFig1NRUvlEBAADXZFdwKSgo0EMPPaS8vDwFBwfr5ptv1vbt2/Uv//IvkqQ333xT7u7umjRpkqqqqpScnKx33nnHtr2Hh4c2b96smTNnKjExUQEBAZo6daoWL17s2KMCYJe8sjwVVRVdtc2p0jK5+57TqdLv5e4b2GK7EJ8QRTq6QAD4O7uCywcffHDV9b6+vsrIyFBGRkaLbfr27autW7fas1sATpRXlqeUTSmqrK28ZtuA/tJ/HLh6Gz9PP20a9QrhBYBT2D05F0DXUlRVpMraSqXfnq6Y4JgW2/1YUKanM3O0bHKCbghr/huXkyUnNf9v81VUU0ZwAeAUBBcAkqSY4BjFh7Y8Sb7+UonqL51X/6AbFR8a3IGVAcD/4unQAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANAguAADANDxdXQCAtskry1NRVdH/Lig9LXl7Nfzp493qfk6WnHR4bQDgLAQXwITyyvKUsilFlbWVTVf0jpT2v2B3f36efgrxCXFQdQDgPAQXwISKqopUWVup9NvTFRMc07Dw/A/ShunSxPelXnF29RfiE6LIwEgnVAoAjkVwAUwsJjhG8aHxDW+qqqXqGimon9S4DAC6GCbnAgAA0yC4AAAA0yC4AAAA0yC4AAAA0yC4AAAA0yC4AAAA0yC4AAAA0yC4AAAA0yC4AAAA0yC4AAAA0+CW/0B7FZ+VKi44vFvfwjINdjsl38JgyS2w6crS0w1/nv+h4Vb/klT4g8NrAIDOhuACtEfxWSljhFRT4fCuYyVt8ZG0sZmV3l4NT4LeML3h+USNvPwl/1CH1wIAnQXBBWiPigsNoWXin6Se9j2R+Vpyz5fp6bU5WnZ/gmJ7NfONy/4XGp4EHdTvf5f7h0qWaIfWAQCdCcEFcISecVJUgkO7vGSU6JhRoks9h0hRwU1X+ng3/NkrjidBA+hWmJwLAABMg+ACAABMg+ACAABMg+ACAABMg+ACAABMg+ACAABMg+ACAABMg+ACAABMg+ACAABMg+ACAABMw67gkp6ert/+9re67rrrFBYWpnvvvVfff/99kzaXLl1SamqqQkNDFRgYqEmTJik/P79JmzNnzmjChAny9/dXWFiY5s6dq9ra2vYfDQAA6NLsCi67d+9Wamqq9u3bpx07dqimpkbjxo1TeXm5rc0zzzyjzz77TOvWrdPu3bv1yy+/aOLEibb1dXV1mjBhgqqrq7V37159+OGHWr16tV588UXHHRUAAOiS7HrI4rZt25q8X716tcLCwpSdna1//ud/VklJiT744AOtWbNGY8eOlSStWrVKgwYN0r59+zRq1Ch98cUXOn78uHbu3Knw8HAlJCTopZde0rPPPqtFixbJ29vbcUcHAAC6lHbNcSkpKZEk9ejRQ5KUnZ2tmpoaJSUl2doMHDhQffr0UVZWliQpKytLQ4YMUXh4uK1NcnKySktLdezYsWb3U1VVpdLS0iYvAADQ/bQ5uNTX1ystLU233XabbrrpJkmS1WqVt7e3LBZLk7bh4eGyWq22Nv8YWhrXN65rTnp6uoKDg22v6OjotpYNAABMrM3BJTU1VUePHtXatWsdWU+z5s+fr5KSEtvr7NmzTt8nAADofOya49Jo1qxZ2rx5s/bs2aPrr7/etjwiIkLV1dUqLi5u8q1Lfn6+IiIibG0OHDjQpL/Gq44a21zOx8dHPj4+bSkVAAB0IXZ942IYhmbNmqWNGzfqL3/5i/r3799k/bBhw+Tl5aVdu3bZln3//fc6c+aMEhMTJUmJiYk6cuSICgoKbG127NihoKAgxcfHt+dYAABAF2fXNy6pqalas2aNNm3apOuuu842JyU4OFh+fn4KDg7WtGnTNHv2bPXo0UNBQUF68sknlZiYqFGjRkmSxo0bp/j4eE2ZMkVLly6V1WrVggULlJqayrcqAADgquwKLitXrpQk3XHHHU2Wr1q1Sg8//LAk6c0335S7u7smTZqkqqoqJScn65133rG19fDw0ObNmzVz5kwlJiYqICBAU6dO1eLFi9t3JAAAoMuzK7gYhnHNNr6+vsrIyFBGRkaLbfr27autW7fas2sAAACeVQQAAMyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEyD4AIAAEzD09UFAADgCueKK1VUXu3qMmxCArzV2+Ln6jI6PYILAKDbOVdcqaTXd6uyps7Vpdj4eXlo55zRhJdrILgAALqdovJqVdbU6a3JCYoNC3R1OcotKFNaZo6KyqsJLtdAcAEAdFuxYYG6qXewq8uAHZicCwAATIPgAgAATINTRQDskltQ1uK6U6UN684WVSheUu75Ml0ySpxWC1dhAN0PwQVAq4QEeMvPy0NpmTkttnH3PaeA/tIft3+vZElPr83RMScGF67CALofgguAVult8dPOOaOvet+LU6Xf6z8OSP8n+UZpu7Ts/gRd6jnEKfVwFQbQPRFcALRab4vfVUOCu2/DZaXRIf6SpNhegVIUV2wAcBwm5wIAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANMguAAAANOwO7js2bNHd999t6KiouTm5qZPP/20yXrDMPTiiy8qMjJSfn5+SkpK0okTJ5q0+fXXX/Xggw8qKChIFotF06ZNU1lZWbsOBAAAdH12B5fy8nINHTpUGRkZza5funSpli9frnfffVf79+9XQECAkpOTdenSJVubBx98UMeOHdOOHTu0efNm7dmzRzNmzGj7UQAAgG7B094N7rrrLt11113NrjMMQ2+99ZYWLFiglJQUSdJ//ud/Kjw8XJ9++qnuv/9+ffvtt9q2bZu++eYbDR8+XJL09ttva/z48frjH/+oqKiodhwOAADoyhw6x+XUqVOyWq1KSkqyLQsODtbIkSOVlZUlScrKypLFYrGFFklKSkqSu7u79u/f32y/VVVVKi0tbfICAADdj0ODi9VqlSSFh4c3WR4eHm5bZ7VaFRYW1mS9p6enevToYWtzufT0dAUHB9te0dHRjiwbAACYhCmuKpo/f75KSkpsr7Nnz7q6JAAA4AIODS4RERGSpPz8/CbL8/PzbesiIiJUUFDQZH1tba1+/fVXW5vL+fj4KCgoqMkLAAB0Pw4NLv3791dERIR27dplW1ZaWqr9+/crMTFRkpSYmKji4mJlZ2fb2vzlL39RfX29Ro4c6chyAABAF2P3VUVlZWXKzc21vT916pRycnLUo0cP9enTR2lpaXr55Zc1YMAA9e/fXy+88IKioqJ07733SpIGDRqkf/3Xf9Vjjz2md999VzU1NZo1a5buv/9+rigCAABXZXdwOXjwoMaMGWN7P3v2bEnS1KlTtXr1as2bN0/l5eWaMWOGiouL9U//9E/atm2bfH19bdt8/PHHmjVrlu688065u7tr0qRJWr58uQMOBwA6ueKzUsUFV1ch+YdKFi50gPnYHVzuuOMOGYbR4no3NzctXrxYixcvbrFNjx49tGbNGnt3DQDmVnxWyhgh1VS4uhLJy19KPUB4genYHVwAAG1UcaEhtEz8k9QzznV1FP4gbXisoR6CC0yG4AIAHa1nnBSV4OoqAFMyxX1cAAAAJIILAAAwEU4VAYCd8sryVFRVZP+Gpaclb6+GP328JUkhPiGKDIx0aH1AV0ZwAQA75JXlKWVTiiprK9vWQe9Iaf8Ltrd+nn7alLKJ8AK0EsEFAOxQVFWkytpKpd+erpjgGPs2Pv+DtGG6NPF9qVecTpac1Py/zVdRVRHBBWglggsAtEFMcIziQ+Pt26iqWqqukYL6SfZuC0ASk3MBAICJEFwAAIBpEFwAAIBpEFwAAIBpEFwAAIBpEFwAAIBpEFwAAIBpcB8XAA53svzcFbe2bwtuhw/gcgQXAA4T4hMiP08/zT/67hW3tm8LbocP4HIEFwAOExkYqU0pm1T08/4mt7ZvC26HD6A5BBcADhUZGKnIoH7c2h6AUzA5FwAAmAbBBQAAmAanigA4T+EPbd+29HTDn+d/aHiq8mV8C8s02O2UfAuDJbfAq/flHypZotteC4BOg+ACwPH8QyUvf2nDY23vw9ur4cqkDdMb5stcJlbSFh9JG1vRl5e/8h7ZrCIfv7bX83cnS062u4/u6lxxpYrKrwyhrpBbUObqEtBGBBcAjmeJllIPSBUX2t5H6emGy6knvt8wyfcyuefL9PTaHP2fcTcqukfLgcSnOFeee2br7l0zVFXvmF+aPu6+Kij2UP2lkibLQwK81dvS/nDUFZ0rrlTS67tVWVPn6lJs/Lw8FBLQ9vsMwTUILgCcwxLdvtMzjTeu6xXX7JVJfv6VOulZpke2V0tqOZAMdivTa9e5q6q+WpXnJqu+OqztNf1dWW2AHj6WKym3aU1eHto5ZzThpRlF5dWqrKnTW5MTFBt2jVN7HYSgaU4EFwCm1Nvip51zRl/z1INvYbCqtzT8/c1/G6f+QTc6pZ7cgjKlZeaoqLyaX4ZXERsWqJt6B7u6DJgYwQWAafW2+F07JLgF6vjf/3pDWKDiQ/mlic6rM8296azfSBFcAKCLamkyrG9hmWLVME/oklFy5YZO0Jl+IXdGIQHe8vPyUFpmjqtLsemspz4JLgC6jxYurXaEVl2e3Z7Lw+10tcmwg91OaYuP9PTaHB3roOAiMRn2alp76rOjdOZTnwQXAF2bf6jk6dvw9xYurXaEVl+e7eXfUJOTXW0yrG9hsLRRWnZ/gi71HOL0Whp11lMPnUWrTn2C4AKgi7NES7/7f9Lup1q8tNoRWnt5dp1vD9WUB0nlJTpV2nD65MeCsisurW53PX8/NdPsZNi/fyMU2ytQimLOD8yF4AKgU3PEDd9O1pc3/KWFS6sdobWXZ0slkk5Jktx9zymgv/R0Zo7qL513fE2cmkEXRHAB0CmF+ITIz9NP8/823yH9+Xn6KcQnxCF9NactcxROlX6v/zggLZuc4JTLtDk1g66I4AKgU4oMjNSmlE0qqipySH8hPiGKDIx0SF8tsXeOgrtvwykbl12m3YGTha+KZ0nBDgQXAJ1WZGCk08NGt+SIZ0k5kpd/wyMiCC9oBYILAHQ3jniWlKMU/tAQoCouEFzQKgQXAOiO2vssKcBF3F1dAAAAQGsRXAAAgGkQXAAAgGkQXAAAgGkQXAAAgGkQXAAAgGkQXAAAgGlwHxcAcDFHPEhS6pjHGgCuRnABABdxxoMkN6VsIrygSyO4AICLOPJBkidLTmr+3+arqKqI4IIujeACAC7EgyQB+zA5FwAAmAbBBQAAmAbBBQAAmAZzXIB/cK64UkXl1a1u71tYplhJuefLdMkocWgtuQVlDu0PALoCggvwd+eKK5X0+m5V1tS1epvBbqe0xUd6em2Ojjk4uEiSn5eHQgK8Hd4vAJgVwQX4u6LyalXW1OmtyQmKDQts1Ta+hcHSRmnZ/Qm61HOIw2sKCfBWb4ufw/sFALMiuACXiQ0L1E29g1vX2K0h4MT2CpSiWrkNAKDNmJwLAABMg29cgA6UV5bnsLukAkB3RHABOkheWZ5SNqWosrbSIf35efopxCfEIX0BgFkQXJpTfFaquODqKhr4h0qWaFdX4TT2Xn7sTM6+/LioqkiVtZVKvz1dMcEx7e6PJwED6I4ILpcrPitljJBqKlxdSQMvfyn1QOcILw4OdAVlVXrq/2XrUm293dsWGdfpF/V0WC2NOuLy45jgGMWHxjt1HwDQVRFcLldxoSG0TPyT1DPOtbUU/iBteKyhJlcHFycEujBJ6z0kedi/bb2nn84k/V/V+vVwWD2SFOTnpbCK76XWHmbhDw7dPwDg6gguLekZJ0UluLqKBp3hl2PhDw4PdLnny/T02hwtuz+h4XLi1qoolHvmFPXbNsUhdbSbl3/DKT0AgNMRXDoz/9CGX4obHnN1JQ28/KU+iQ779ueSUaJjRknDjdvsvQdK6gHmIQFAN0Rw6cws0fyCbokluvPUAgDoMASXzo5f0AAA2HDnXAAAYBoEFwAAYBouDS4ZGRnq16+ffH19NXLkSB04cMCV5QAAgE7OZcElMzNTs2fP1sKFC3Xo0CENHTpUycnJKigocFVJAACgk3PZ5Nw33nhDjz32mB555BFJ0rvvvqstW7boz3/+s5577jlXlYUuwlEPM5S4tT4AdCYuCS7V1dXKzs7W/Pnzbcvc3d2VlJSkrKysK9pXVVWpqqrK9r6kpESSVFpa6vjiLpZJVUbDn87oHzZlF0tVX1WhsoulKi11c1i/1jKrfr/l96qsc9DDDD38lH57uiy+lnb1c7rktOoq61R2sUylXny24FhlF8vM+fni39xOyVn/Pjf+3jYMo+2dGC5w7tw5Q5Kxd+/eJsvnzp1rjBgx4or2CxcuNCTx4sWLFy9evLrA6+zZs23OEKa4j8v8+fM1e/Zs2/v6+nr9+uuvCg0NlZub45Jga5WWlio6Olpnz55VUFBQh++/O2GsOw5j3XEY647DWHec1oy1YRi6ePGioqKi2rwflwSXnj17ysPDQ/n5+U2W5+fnKyIi4or2Pj4+8vHxabLMYrE4s8RWCQoK4j+EDsJYdxzGuuMw1h2Hse441xrr4ODgdvXvkquKvL29NWzYMO3atcu2rL6+Xrt27VJiYqIrSgIAACbgslNFs2fP1tSpUzV8+HCNGDFCb731lsrLy21XGQEAAFzOZcFl8uTJOn/+vF588UVZrVYlJCRo27ZtCg8Pd1VJrebj46OFCxdecfoKjsdYdxzGuuMw1h2Hse44HTXWbobRnmuSAAAAOg7PKgIAAKZBcAEAAKZBcAEAAKZBcAEAAKZBcJGUkZGhfv36ydfXVyNHjtSBAwdabFtTU6PFixfrhhtukK+vr4YOHapt27a1q8/uxNFjvWjRIrm5uTV5DRw40NmH0ent2bNHd999t6KiouTm5qZPP/30mtt8+eWX+s1vfiMfHx/FxsZq9erVV7Thc30lZ4w1n+vm2TvWeXl5euCBBxQXFyd3d3elpaU1227dunUaOHCgfH19NWTIEG3dutXxxZuMM8Z69erVV3yufX197a6t2weXzMxMzZ49WwsXLtShQ4c0dOhQJScnq6CgoNn2CxYs0Hvvvae3335bx48f1+OPP65/+7d/0+HDh9vcZ3fhjLGWpMGDBysvL8/2+uqrrzricDq18vJyDR06VBkZGa1qf+rUKU2YMEFjxoxRTk6O0tLSNH36dG3fvt3Whs9185wx1hKf6+bYO9ZVVVXq1auXFixYoKFDhzbbZu/evfr973+vadOm6fDhw7r33nt177336ujRo44s3XScMdZSw111//Fz/dNPP9lfXJufctRFjBgxwkhNTbW9r6urM6Kiooz09PRm20dGRhorVqxosmzixInGgw8+2OY+uwtnjPXChQuNoUOHOqXerkKSsXHjxqu2mTdvnjF48OAmyyZPnmwkJyfb3vO5vjZHjTWf62trzVj/o9GjRxtPP/30Fct/97vfGRMmTGiybOTIkca///u/t7PCrsNRY71q1SojODi43fV0629cqqurlZ2draSkJNsyd3d3JSUlKSsrq9ltqqqqrvhqy8/Pz/Z/Q23psztwxlg3OnHihKKiohQTE6MHH3xQZ86ccfwBdHFZWVlNfjaSlJycbPvZ8Ll2nGuNdSM+1x2jtT8POEZZWZn69u2r6OhopaSk6NixY3b30a2DS2Fhoerq6q64W294eLisVmuz2yQnJ+uNN97QiRMnVF9frx07dmjDhg3Ky8trc5/dgTPGWpJGjhyp1atXa9u2bVq5cqVOnTql22+/XRcvXnTq8XQ1Vqu12Z9NaWmpKisr+Vw70LXGWuJz3ZFa+nnwuXa8G2+8UX/+85+1adMmffTRR6qvr9ett96qn3/+2a5+unVwaYtly5ZpwIABGjhwoLy9vTVr1iw98sgjcndnKB2tNWN911136b777tPNN9+s5ORkbd26VcXFxfrkk09cWDnQPnyu0RUlJibqoYceUkJCgkaPHq0NGzaoV69eeu+99+zqp1v/tu3Zs6c8PDyUn5/fZHl+fr4iIiKa3aZXr1769NNPVV5erp9++knfffedAgMDFRMT0+Y+uwNnjHVzLBaL4uLilJub69D6u7qIiIhmfzZBQUHy8/Pjc+1A1xrr5vC5dp6Wfh58rp3Py8tLt9xyi92f624dXLy9vTVs2DDt2rXLtqy+vl67du1SYmLiVbf19fVV7969VVtbq/Xr1yslJaXdfXZlzhjr5pSVlenHH39UZGSkw2rvDhITE5v8bCRpx44dtp8Nn2vHudZYN4fPtfO05ecBx6irq9ORI0fs/1y3e3qvya1du9bw8fExVq9ebRw/ftyYMWOGYbFYDKvVahiGYUyZMsV47rnnbO337dtnrF+/3vjxxx+NPXv2GGPHjjX69+9vFBUVtbrP7soZYz1nzhzjyy+/NE6dOmV8/fXXRlJSktGzZ0+joKCgow+vU7l48aJx+PBh4/Dhw4Yk44033jAOHz5s/PTTT4ZhGMZzzz1nTJkyxdb+5MmThr+/vzF37lzj22+/NTIyMgwPDw9j27ZttjZ8rpvnjLHmc908e8faMAxb+2HDhhkPPPCAcfjwYePYsWO29V9//bXh6elp/PGPfzS+/fZbY+HChYaXl5dx5MiRDj22zsYZY/2HP/zB2L59u/Hjjz8a2dnZxv3332/4+vo2adMa3T64GIZhvP3220afPn0Mb29vY8SIEca+ffts60aPHm1MnTrV9v7LL780Bg0aZPj4+BihoaHGlClTjHPnztnVZ3fm6LGePHmyERkZaXh7exu9e/c2Jk+ebOTm5nbU4XRaf/3rXw1JV7wax3fq1KnG6NGjr9gmISHB8Pb2NmJiYoxVq1Zd0S+f6ys5Y6z5XDevLWPdXPu+ffs2afPJJ58YcXFxhre3tzF48GBjy5YtHXNAnZgzxjotLc3270d4eLgxfvx449ChQ3bX5vb3nQEAAHR63XqOCwAAMBeCCwAAMA2CCwAAMA2CCwAAMA2CCwAAMA2CCwAAMA2CCwAAMA2CCwAAMA2CCwAAMA2CCwAAMA2CCwAAMA2CCwAAMI3/D+IaMk/81nnbAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if we are not allowed to use multiple CCB's in a single HD 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CCBno 0 with pop 97574.0 would be used 1.4728477128760584 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 1 with pop 58240.0 would be used 1.3221656640208914 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 2 with pop 37102.0 would be used 1.3800848988867964 if we added it to all adjoining districts with no 2-CCB districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing conversion to units.  Determine each CCB's use if we add it to all adjoining HDs\")\n",
    "CCBwouldUse = [0. for i in range(nCCBs)]\n",
    "CCBaddCandidates = [list() for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    jNo = allUnits.index(j+0.25)\n",
    "    ccbNbrSet = set(unitNbrs[jNo])\n",
    "    withCCBpopRat = list()\n",
    "    for t in range(nHDs):\n",
    "        if len(ccbNbrSet.intersection(set(HDunitList[t]))) > 0:\n",
    "            CCBwouldUse[j] += HDweight[t] * nDistricts\n",
    "            CCBaddCandidates[j].append(t)\n",
    "            withCCBpopRat.append((np.sum([unitPop[u] for u in HDunitList[t]]) + CCBpop[j]) / aDP )\n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",r3(CCBwouldUse[j]),\"if we added it to all adjoining districts\")\n",
    "    print(\"Here is the histogram of relative district pop with these added\")\n",
    "    plt.hist(withCCBpopRat,histtype=\"step\",label=\"CCB \"+str(j))\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "avoidMultiCCBuse = int(input(\"enter 1 if we are not allowed to use multiple CCB's in a single HD\"))  #option by state\n",
    "if avoidMultiCCBuse == 1:\n",
    "    for j in range(nCCBs):  #this block -- preventing HDs from picking up multiple CCB's; instead, pick up the closest one  \n",
    "        jNo = allUnits.index(j+0.25)\n",
    "        for jj in range(j+1, nCCBs):\n",
    "            jjNo = allUnits.index(j+0.25)\n",
    "            for t in CCBaddCandidates[j].copy():\n",
    "                if t in CCBaddCandidates[j]:\n",
    "                    if t in CCBaddCandidates[jj].copy():\n",
    "                        dist_j, dist_jj = hdCP[t].distance(unitCP[jNo]), hdCP[t].distance(unitCP[jjNo])\n",
    "                        if dist_j > dist_jj:\n",
    "                            CCBaddCandidates[j].remove(t)  #for MN, don't allow any districts with two CCB's\n",
    "                            CCBwouldUse[j] -= HDweight[t] * nDistricts\n",
    "                        else:\n",
    "                            CCBaddCandidates[jj].remove(t)\n",
    "                            CCBwouldUse[jj] -= HDweight[t] * nDistricts\n",
    "for j in range(nCCBs):    \n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",CCBwouldUse[j],\n",
    "          \"if we added it to all adjoining districts with no 2-CCB districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "fa5648b7-3e18-46a8-b85a-9e61708231d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 0 I reco 1.02, as we may lose a little later 1.01\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 0 is 1.01307 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 1 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 1 is 1.02032 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 2 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 2 is 1.02035 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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p9uzZOnbsmGbMmKHa2lqNHDlSpaWlSkxMDD5n9erVmjlzpkaNGqWYmBhNnDhRS5YsCcPbAQAACOUwxphIF9FegUBAbrdbfr+f63dwVvWauynSJUSFQwvGRroEAB0gUj+/z4m7sQAAAM4UYQcAAFiNsAMAAKxG2AEAAFYj7AAAAKsRdgAAgNUIOwAAwGqEHQAAYDXCDgAAsBphBwAAWI2wAwAArEbYAQAAViPsAAAAqxF2AACA1Qg7AADAaoQdAABgNcIOAACwGmEHAABYjbADAACsFhfpAgDgu3rN3RTpEtrt0IKxkS4BwClwZgcAAFiNsAMAAKxG2AEAAFYj7AAAAKsRdgAAgNUIOwAAwGqEHQAAYDXCDgAAsBphBwAAWI2wAwAArEbYAQAAViPsAAAAq/FFoIiYc/HLHgEA5x7O7AAAAKsRdgAAgNXCHnaamppUVFSkzMxMJSUl6aKLLtKDDz4oY0xwjjFG8+bNU8+ePZWUlKScnBzt27cv3KUAAACEP+w8+uijevLJJ/X73/9ee/bs0aOPPqqFCxdq6dKlwTkLFy7UkiVLVFJSooqKCnXu3Fm5ubmqr68PdzkAACDKhf0C5bffflvjxo3T2LFjJUm9evXS888/r3feeUfS12d1Fi9erPvuu0/jxo2TJD333HPyeDzasGGDJk+eHO6SAABAFAv7mZ0RI0aorKxMn3zyiSTp3Xff1VtvvaUxY8ZIkg4ePCifz6ecnJzgc9xut7KyslReXt7qmg0NDQoEAiEbAABAW4T9zM7cuXMVCATUp08fxcbGqqmpSQ8//LDy8vIkST6fT5Lk8XhCnufxeIJj31VcXKz58+eHu1QAABAFwn5m54UXXtDq1au1Zs0a7dq1S88++6wWLVqkZ5999ozXLCwslN/vD25VVVVhrBgAANgs7Gd27r33Xs2dOzd47U3//v11+PBhFRcXa+rUqfJ6vZKk6upq9ezZM/i86upqDRw4sNU1nU6nnE5nuEsFAABRIOxndo4fP66YmNBlY2Nj1dzcLEnKzMyU1+tVWVlZcDwQCKiiokLZ2dnhLgcAAES5sJ/Zue666/Twww8rIyND/fr101//+lc9/vjjuvXWWyVJDodDs2bN0kMPPaTevXsrMzNTRUVFSktL0/jx48NdDgAAiHJhDztLly5VUVGR7rjjDtXU1CgtLU233Xab5s2bF5wze/ZsHTt2TDNmzFBtba1Gjhyp0tJSJSYmhrscAAAQ5Rzm2x9tfI4IBAJyu93y+/1yuVyRLgdniC8ChU0OLRgb6RKAH71I/fzmu7EAAIDVCDsAAMBqhB0AAGA1wg4AALAaYQcAAFiNsAMAAKxG2AEAAFYj7AAAAKsRdgAAgNUIOwAAwGqEHQAAYDXCDgAAsBphBwAAWI2wAwAArEbYAQAAViPsAAAAqxF2AACA1Qg7AADAaoQdAABgNcIOAACwGmEHAABYjbADAACsRtgBAABWI+wAAACrEXYAAIDVCDsAAMBqhB0AAGA1wg4AALAaYQcAAFiNsAMAAKxG2AEAAFYj7AAAAKsRdgAAgNUIOwAAwGqEHQAAYLUOCTuffvqp/vVf/1WpqalKSkpS//79tXPnzuC4MUbz5s1Tz549lZSUpJycHO3bt68jSgEAAFEu7GHniy++0BVXXKH4+Hi98sor+uijj/Tb3/5WXbt2Dc5ZuHChlixZopKSElVUVKhz587Kzc1VfX19uMsBAABRLi7cCz766KNKT0/XypUrg/syMzOD/22M0eLFi3Xfffdp3LhxkqTnnntOHo9HGzZs0OTJk8NdEgAAiGJhP7Pz0ksvaejQofqXf/kX9ejRQ4MGDdLTTz8dHD948KB8Pp9ycnKC+9xut7KyslReXt7qmg0NDQoEAiEbAABAW4Q97Pztb3/Tk08+qd69e+vVV1/Vr3/9a91111169tlnJUk+n0+S5PF4Qp7n8XiCY99VXFwst9sd3NLT08NdNgAAsFTYw05zc7MGDx6sRx55RIMGDdKMGTM0ffp0lZSUnPGahYWF8vv9wa2qqiqMFQMAAJuFPez07NlTl156aci+vn376siRI5Ikr9crSaqurg6ZU11dHRz7LqfTKZfLFbIBAAC0RdjDzhVXXKG9e/eG7Pvkk090wQUXSPr6YmWv16uysrLgeCAQUEVFhbKzs8NdDgAAiHJhvxvrnnvu0YgRI/TII49o0qRJeuedd/TUU0/pqaeekiQ5HA7NmjVLDz30kHr37q3MzEwVFRUpLS1N48ePD3c5AAAgyoU97AwbNkzr169XYWGhHnjgAWVmZmrx4sXKy8sLzpk9e7aOHTumGTNmqLa2ViNHjlRpaakSExPDXQ4AAIhyDmOMiXQR7RUIBOR2u+X3+7l+5xzWa+6mSJcAhM2hBWMjXQLwoxepn998NxYAALAaYQcAAFgt7NfsAEA0Ohd/Lcuv3hAtOLMDAACsRtgBAABWI+wAAACrEXYAAIDVCDsAAMBqhB0AAGA1wg4AALAaYQcAAFiNsAMAAKxG2AEAAFYj7AAAAKsRdgAAgNUIOwAAwGqEHQAAYDXCDgAAsBphBwAAWI2wAwAArEbYAQAAViPsAAAAqxF2AACA1Qg7AADAaoQdAABgtbhIF4Dw6DV3U6RLAADgR4kzOwAAwGqEHQAAYDXCDgAAsBphBwAAWI2wAwAArEbYAQAAViPsAAAAqxF2AACA1Qg7AADAah0edhYsWCCHw6FZs2YF99XX1ys/P1+pqanq0qWLJk6cqOrq6o4uBQAARKEODTs7duzQH/7wB1122WUh+++55x69/PLLWrdunbZu3arPPvtMEyZM6MhSAABAlOqwsFNXV6e8vDw9/fTT6tq1a3C/3+/XihUr9Pjjj+uaa67RkCFDtHLlSr399tvavn17R5UDAACiVIeFnfz8fI0dO1Y5OTkh+ysrK9XY2Biyv0+fPsrIyFB5eXmrazU0NCgQCIRsAAAAbdEh33q+du1a7dq1Szt27Ggx5vP5lJCQoOTk5JD9Ho9HPp+v1fWKi4s1f/78jigVAABYLuxndqqqqnT33Xdr9erVSkxMDMuahYWF8vv9wa2qqios6wIAAPuFPexUVlaqpqZGgwcPVlxcnOLi4rR161YtWbJEcXFx8ng8OnHihGpra0OeV11dLa/X2+qaTqdTLpcrZAMAAGiLsP8aa9SoUXr//fdD9t1yyy3q06eP5syZo/T0dMXHx6usrEwTJ06UJO3du1dHjhxRdnZ2uMsBAABRLuxh57zzztNPf/rTkH2dO3dWampqcP+0adNUUFCglJQUuVwu3XnnncrOztbll18e7nIAAECU65ALlL/PE088oZiYGE2cOFENDQ3Kzc3V8uXLI1EKAACwnMMYYyJdRHsFAgG53W75/X6u3/n/es3dFOkSAJxjDi0YG+kSEGUi9fOb78YCAABWI+wAAACrReSaHQBA5J2Lv/7mV284E5zZAQAAViPsAAAAqxF2AACA1Qg7AADAaoQdAABgNcIOAACwGmEHAABYjbADAACsRtgBAABWI+wAAACrEXYAAIDVCDsAAMBqhB0AAGA1wg4AALAaYQcAAFiNsAMAAKxG2AEAAFYj7AAAAKsRdgAAgNUIOwAAwGqEHQAAYDXCDgAAsBphBwAAWI2wAwAArEbYAQAAViPsAAAAqxF2AACA1eIiXQAAAG3Va+6mSJdwRg4tGBvpEqIaZ3YAAIDVCDsAAMBqhB0AAGA1wg4AALBa2MNOcXGxhg0bpvPOO089evTQ+PHjtXfv3pA59fX1ys/PV2pqqrp06aKJEyequro63KUAAACEP+xs3bpV+fn52r59uzZv3qzGxkb94he/0LFjx4Jz7rnnHr388stat26dtm7dqs8++0wTJkwIdykAAADhv/W8tLQ05PGqVavUo0cPVVZW6sorr5Tf79eKFSu0Zs0aXXPNNZKklStXqm/fvtq+fbsuv/zycJcEAACiWIdfs+P3+yVJKSkpkqTKyko1NjYqJycnOKdPnz7KyMhQeXl5q2s0NDQoEAiEbAAAAG3RoWGnublZs2bN0hVXXKGf/vSnkiSfz6eEhAQlJyeHzPV4PPL5fK2uU1xcLLfbHdzS09M7smwAAGCRDg07+fn5+uCDD7R27doftE5hYaH8fn9wq6qqClOFAADAdh32dREzZ87Uxo0btW3bNp1//vnB/V6vVydOnFBtbW3I2Z3q6mp5vd5W13I6nXI6nR1VKgAAsFjYz+wYYzRz5kytX79eW7ZsUWZmZsj4kCFDFB8fr7KysuC+vXv36siRI8rOzg53OQAAIMqF/cxOfn6+1qxZo7/85S8677zzgtfhuN1uJSUlye12a9q0aSooKFBKSopcLpfuvPNOZWdncycWAAAIu7CHnSeffFKSdNVVV4XsX7lypX71q19Jkp544gnFxMRo4sSJamhoUG5urpYvXx7uUgAAAMIfdowx3zsnMTFRy5Yt07Jly8L98gAAACH4biwAAGA1wg4AALAaYQcAAFiNsAMAAKxG2AEAAFYj7AAAAKsRdgAAgNUIOwAAwGqEHQAAYDXCDgAAsBphBwAAWI2wAwAArEbYAQAAViPsAAAAq8VFuoAfo15zN0W6BAAAECac2QEAAFYj7AAAAKsRdgAAgNUIOwAAwGqEHQAAYDXCDgAAsBphBwAAWI2wAwAArMaHCgIA0MHOxQ+rPbRgbKRLCBvO7AAAAKsRdgAAgNUIOwAAwGqEHQAAYDXCDgAAsBphBwAAWI2wAwAArEbYAQAAViPsAAAAqxF2AACA1Qg7AADAahENO8uWLVOvXr2UmJiorKwsvfPOO5EsBwAAWChiYefPf/6zCgoKdP/992vXrl0aMGCAcnNzVVNTE6mSAACAhSIWdh5//HFNnz5dt9xyiy699FKVlJSoU6dOeuaZZyJVEgAAsFBcJF70xIkTqqysVGFhYXBfTEyMcnJyVF5e3mJ+Q0ODGhoago/9fr8kKRAIdEh9zQ3HO2RdAADOFR3xM/abNY0xYV/7dCISdv7xj3+oqalJHo8nZL/H49HHH3/cYn5xcbHmz5/fYn96enqH1QgAQDRzL+64tb/88ku53e6Oe4HviEjYaa/CwkIVFBQEHzc3N+vo0aNKTU2Vw+GIYGVfCwQCSk9PV1VVlVwuV6TL+dGjX21Hr9qHfrUP/Wo7etU+p+qXMUZffvml0tLSzmo9EQk73bp1U2xsrKqrq0P2V1dXy+v1tpjvdDrldDpD9iUnJ3dkiWfE5XLxh6Ad6Ffb0av2oV/tQ7/ajl61T2v9OptndL4RkQuUExISNGTIEJWVlQX3NTc3q6ysTNnZ2ZEoCQAAWCpiv8YqKCjQ1KlTNXToUA0fPlyLFy/WsWPHdMstt0SqJAAAYKGIhZ0bb7xR//u//6t58+bJ5/Np4MCBKi0tbXHR8rnA6XTq/vvvb/GrNrSOfrUdvWof+tU+9Kvt6FX7/Nj65TBn+/4vAACAs4jvxgIAAFYj7AAAAKsRdgAAgNUIOwAAwGpREXZ69eolh8PRYsvPz9ehQ4daHXM4HFq3bl1wjdbG165dG/I6b7zxhgYPHiyn06mLL75Yq1atalHLsmXL1KtXLyUmJiorK0vvvPNOyHh9fb3y8/OVmpqqLl26aOLEiS0+fLGjna5fkuTz+TRlyhR5vV517txZgwcP1n/+53+GrHH06FHl5eXJ5XIpOTlZ06ZNU11dXcic9957Tz/72c+UmJio9PR0LVy4sEUt69atU58+fZSYmKj+/fvrv/7rv0LGjTGaN2+eevbsqaSkJOXk5Gjfvn1h7siphaNXra2xYMGCkDk29Er6/n4dOHBAN9xwg7p37y6Xy6VJkya1OP45ttreq2g6tpqamlRUVKTMzEwlJSXpoosu0oMPPhjyHUxtqTMajq9w9eqcOr5MFKipqTGff/55cNu8ebORZF5//XVz8uTJkLHPP//czJ8/33Tp0sV8+eWXwTUkmZUrV4bM++qrr4Ljf/vb30ynTp1MQUGB+eijj8zSpUtNbGysKS0tDc5Zu3atSUhIMM8884z58MMPzfTp001ycrKprq4Ozrn99ttNenq6KSsrMzt37jSXX365GTFixNlp1P93un4ZY8w///M/m2HDhpmKigpz4MAB8+CDD5qYmBiza9eu4BqjR482AwYMMNu3bzdvvvmmufjii81NN90UHPf7/cbj8Zi8vDzzwQcfmOeff94kJSWZP/zhD8E5//M//2NiY2PNwoULzUcffWTuu+8+Ex8fb95///3gnAULFhi32202bNhg3n33XXP99debzMzMkP83HSkcvbrgggvMAw88ELJOXV1dcNyWXhlz+n7V1dWZCy+80Nxwww3mvffeM++9954ZN26cGTZsmGlqagquwbHV9l5F07H18MMPm9TUVLNx40Zz8OBBs27dOtOlSxfzu9/9rl11RsPxFa5enUvHV1SEne+6++67zUUXXWSam5tbHR84cKC59dZbQ/ZJMuvXrz/lmrNnzzb9+vUL2XfjjTea3Nzc4OPhw4eb/Pz84OOmpiaTlpZmiouLjTHG1NbWmvj4eLNu3brgnD179hhJpry8vM3vL9y+26/OnTub5557LmROSkqKefrpp40xxnz00UdGktmxY0dw/JVXXjEOh8N8+umnxhhjli9fbrp27WoaGhqCc+bMmWMuueSS4ONJkyaZsWPHhrxOVlaWue2224wxxjQ3Nxuv12see+yx4Hhtba1xOp3m+eefD8dbb7f29sqYr//CeOKJJ065pq29Mia0X6+++qqJiYkxfr8/pEaHw2E2b95sjOHYak+vjImuY2vs2LEt/t6eMGGCycvLa3Od0XJ8haNXxpxbx1dU/Brr206cOKE//elPuvXWW1v9EtHKykrt3r1b06ZNazGWn5+vbt26afjw4XrmmWdCTvmVl5crJycnZH5ubq7Ky8uDr1tZWRkyJyYmRjk5OcE5lZWVamxsDJnTp08fZWRkBOecba31a8SIEfrzn/+so0ePqrm5WWvXrlV9fb2uuuoqSV/3Ijk5WUOHDg2uk5OTo5iYGFVUVATnXHnllUpISAjOyc3N1d69e/XFF18E55yupwcPHpTP5wuZ43a7lZWVFZF+nUmvvrFgwQKlpqZq0KBBeuyxx3Ty5MngmI29klr2q6GhQQ6HI+RDyBITExUTE6O33npLEsdWe3r1jWg5tkaMGKGysjJ98sknkqR3331Xb731lsaMGdPmOqPl+ApHr75xrhxf58S3nofThg0bVFtbq1/96letjq9YsUJ9+/bViBEjQvY/8MADuuaaa9SpUyf993//t+644w7V1dXprrvukvT1tRnf/fRnj8ejQCCgr776Sl988YWamppanfPxxx8H10hISGjxJacej0c+n+8HvOsz11q/XnjhBd14441KTU1VXFycOnXqpPXr1+viiy+W9PX76NGjR8g6cXFxSklJCb4Pn8+nzMzMkDnf9Mbn86lr166n7Om31/j281qbczadSa8k6a677tLgwYOVkpKit99+W4WFhfr888/1+OOPS7KzV1LLfl1++eXq3Lmz5syZo0ceeUTGGM2dO1dNTU36/PPPJXFstadXUnQdW3PnzlUgEFCfPn0UGxurpqYmPfzww8rLy2tzndFyfIWjV9K5dXxFXdhZsWKFxowZ0+rXy3/11Vdas2aNioqKWox9e9+gQYN07NgxPfbYY8GwY6vW+lVUVKTa2lq99tpr6tatmzZs2KBJkybpzTffVP/+/SNYbWSdaa8KCgqC8y+77DIlJCTotttuU3Fx8Y/mo9Y7wnf71b17d61bt06//vWvtWTJEsXExOimm27S4MGDFRMTdSehQ5xpr6Lp2HrhhRe0evVqrVmzRv369dPu3bs1a9YspaWlaerUqZEu70clXL06l46vqAo7hw8f1muvvaYXX3yx1fH/+I//0PHjx3XzzTd/71pZWVl68MEH1dDQIKfTKa/X2+JOiOrqarlcLiUlJSk2NlaxsbGtzvF6vZIkr9erEydOqLa2NuTszrfnnE2t9evAgQP6/e9/rw8++ED9+vWTJA0YMEBvvvmmli1bppKSEnm9XtXU1ISsdfLkSR09ejTkvbbWi2/GTjfn2+Pf7OvZs2fInIEDB/7Qt98uZ9qr1mRlZenkyZM6dOiQLrnkEut6JZ36z+IvfvELHThwQP/4xz8UFxen5ORkeb1eXXjhhZLEsfUt39er1th8bN17772aO3euJk+eLEnq37+/Dh8+rOLiYk2dOrVNdUbL8RWOXrXmx3x8RdU/l1auXKkePXpo7NixrY6vWLFC119/vbp37/69a+3evVtdu3YNptfs7GyVlZWFzNm8ebOys7MlSQkJCRoyZEjInObmZpWVlQXnDBkyRPHx8SFz9u7dqyNHjgTnnE2t9ev48eOS1OJf2rGxsWpubpb0dS9qa2tVWVkZHN+yZYuam5uVlZUVnLNt2zY1NjYG52zevFmXXHKJunbtGpxzup5mZmbK6/WGzAkEAqqoqDjr/TrTXrVm9+7diomJCZ5Ot61X0vf/WezWrZuSk5O1ZcsW1dTU6Prrr5fEsdWaU/WqNTYfW8ePHz/tn7W21Bktx1c4etWaH/Xx1eZLmc9xTU1NJiMjw8yZM6fV8X379hmHw2FeeeWVFmMvvfSSefrpp837779v9u3bZ5YvX246depk5s2bF5zzza3n9957r9mzZ49ZtmxZq7eeO51Os2rVKvPRRx+ZGTNmmOTkZOPz+YJzbr/9dpORkWG2bNlidu7cabKzs012dnYYO9E2p+rXiRMnzMUXX2x+9rOfmYqKCrN//36zaNEi43A4zKZNm4LzRo8ebQYNGmQqKirMW2+9ZXr37h1y+2Ztba3xeDxmypQp5oMPPjBr1641nTp1anFLYlxcnFm0aJHZs2ePuf/++1u9JTE5Odn85S9/Cd5+e7Zvef0hvXr77bfNE088YXbv3m0OHDhg/vSnP5nu3bubm2++ObiOTb0y5vR/Fp955hlTXl5u9u/fb/74xz+alJQUU1BQEDKHY+tr39eraDu2pk6dan7yk58Eb6d+8cUXTbdu3czs2bPbVWc0HF/h6NW5dnxFTdh59dVXjSSzd+/eVscLCwtNenp6yGdUfOOVV14xAwcONF26dDGdO3c2AwYMMCUlJS3mvv7662bgwIEmISHBXHjhhWblypUt1lq6dKnJyMgwCQkJZvjw4Wb79u0h41999ZW54447TNeuXU2nTp3MDTfcYD7//PMzf+Nn6HT9+uSTT8yECRNMjx49TKdOncxll13W4vbq//u//zM33XST6dKli3G5XOaWW24J+dwiY4x59913zciRI43T6TQ/+clPzIIFC1q81gsvvGD+6Z/+ySQkJJh+/fqFBCpjvr4tsaioyHg8HuN0Os2oUaNO+f+4o/yQXlVWVpqsrCzjdrtNYmKi6du3r3nkkUdMfX19yDq29MqY0/drzpw5xuPxmPj4eNO7d2/z29/+tsVHRHBsfe37ehVtx1YgEDB33323ycjIMImJiebCCy80//Zv/xZy23Nb6oyG4yscvTrXji+HMd+6fxoAAMAyUXXNDgAAiD6EHQAAYDXCDgAAsBphBwAAWI2wAwAArEbYAQAAViPsAAAAqxF2AACA1Qg7AADAaoQdAABgNcIOAACwGmEHAABY7f8B9ru+Hvk71RMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\")\n",
    "#previously, we went from most-used to least-used CCB vtds until each has unit use\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "CCBuse = [0. for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    minCCBuse = float(input(\"enter target CCBuse for CCB \"+str(j)+\" I reco 1.02, as we may lose a little later\"))\n",
    "    postCCBaddPops = list()\n",
    "    unitNo = allUnits.index(j+0.25)\n",
    "    #ccbNbrSet = set(unitNbrs[unitNo])\n",
    "    #ccbFrac = [-1.*CCBpopFrac[t][j] for t in range(nHDs) ]  # -1 to go from most- to least-used\n",
    "    #idx = np.argsort(ccbFrac)\n",
    "    preCCBpop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in CCBaddCandidates[j]]\n",
    "    idx = np.argsort(preCCBpop)\n",
    "    i = 0\n",
    "    t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "    while CCBuse[j] < minCCBuse  and i < len(CCBaddCandidates[j]) :  #and CCBpopFrac[t][j] > 0:\n",
    "        t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "        CCBuse[j] += HDweight[t] * nDistricts\n",
    "        HDunitList[t].append(unitNo)\n",
    "        postCCBaddPops.append(np.sum([unitPop[u] for u in HDunitList[t] ]))\n",
    "        i +=1\n",
    "    unitUse[unitNo] = CCBuse[j]\n",
    "    print(\"final unit use of CCB\",j, \"is\",r5(CCBuse[j]),\"; here is a histogram of HDpop using this CCB\")\n",
    "    plt.hist(postCCBaddPops)\n",
    "    plt.axvline(aDP,ls=\"--\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "7b16bdfb-41a7-48c1-99e2-85e28a7267ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After CCB addition, here is the histogram of HD pops relative to aDP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "orig unit avg and sd usage are 0.99973 0.13801\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs) ]\n",
    "print(\"After CCB addition, here is the histogram of HD pops relative to aDP\")\n",
    "plt.hist([HDvPop[t] / aDP for t in range(nHDs) ], bins=20, weights = HDweight, label= \"HDpop / target\" )\n",
    "plt.show()\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "c712ed2a-de9a-43ec-a031-c419fa369d4e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14.979926485441096\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(unitPop) / aDP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "a3e4e7ec-a903-47c8-b518-60ba98f41281",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking for isolated units\n"
     ]
    }
   ],
   "source": [
    "print(\"checking for isolated units\")\n",
    "for u in range(nUnits):\n",
    "    if len(unitNbrs[u]) == 0:\n",
    "        plt.scatter(u,unitPop[u])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "ec568e36-5136-4878-ad07-9e87edf85367",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are a total of 8934 populated HDs out of 8941\n",
      "this will show if we had any duplicated units in HDunitLists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Below is the HDvPop histogram\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if len(HDunitList[t]) > 0:\n",
    "        popHDlist.append(t)\n",
    "populatedTractList = popHDlist.copy()\n",
    "print(\"there are a total of\",len(populatedTractList),\"populated HDs out of\",nHDs)\n",
    "print(\"this will show if we had any duplicated units in HDunitLists\")\n",
    "excess = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    excess[t] = len(HDunitList[t]) - len(set(HDunitList[t]))\n",
    "plt.hist(excess)\n",
    "plt.show()\n",
    "print(\"Below is the HDvPop histogram\")\n",
    "HDunitList = [list(set(HDunitList[t])) for t in range(nHDs)]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs)]\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "aa20836c-50e3-4a5c-99b1-0d79936e04e6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "initial classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 700 time is now 101\n",
      "working on HD 1402 time is now 173\n",
      "working on HD 2102 time is now 216\n",
      "working on HD 2802 time is now 296\n",
      "working on HD 3503 time is now 374\n",
      "working on HD 4204 time is now 424\n",
      "working on HD 4906 time is now 521\n",
      "working on HD 5606 time is now 645\n",
      "working on HD 6306 time is now 775\n",
      "working on HD 7006 time is now 897\n",
      "working on HD 7706 time is now 1045\n",
      "working on HD 8407 time is now 1127\n",
      "out of 8934 total HDs, there were 5189.0 contiguous and 3129.0 complement-contiguous HDs\n",
      "2816 HDs had both discontiguity problems, while enclave-only = 2989 and discontig only= 929\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 3745 2989\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"initial classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "25179c37-e5c0-4f13-8205-9663ea9bea1e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 747298 district pop vs 786629 target\n",
      "we'll also trim any HD with total islands' pop <= 15732\n",
      "working on HD 2\n",
      "working on HD 381\n",
      "working on HD 841\n",
      "working on HD 1371\n",
      "working on HD 2106\n",
      "working on HD 2675\n",
      "working on HD 3168\n",
      "working on HD 3663\n",
      "working on HD 4472\n",
      "working on HD 4849\n",
      "working on HD 5328\n",
      "working on HD 5734\n",
      "working on HD 6464\n",
      "working on HD 6883\n",
      "working on HD 7091\n",
      "working on HD 7319\n",
      "working on HD 7527\n",
      "working on HD 7958\n",
      "working on HD 8511\n",
      "Out of 3745 discontig HDs 3745 had discontig HDs.\n",
      "Of these, 3153 won't be under 747298 after all minor discontigys were shed, while 592 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "reclassifying HD 2\n",
      "reclassifying HD 1045\n",
      "reclassifying HD 2675\n",
      "reclassifying HD 4085\n",
      "reclassifying HD 5328\n",
      "reclassifying HD 6773\n",
      "reclassifying HD 7319\n",
      "reclassifying HD 8222\n",
      "There are 592 HDs still with both discontinuity problems\n",
      "Additionally, 2418 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%200 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for i, t in enumerate(sPgenerator):    \n",
    "    if i%500 == 0:\n",
    "        print(\"reclassifying HD\",t)\n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "8dc2ffc7-f1bd-463d-b3d3-0eb332fa0d65",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lets classify the noncontig by VRA type for badDiscoList and stillHasEnclave\n",
      "VRA,env,other\n",
      "0\n",
      "0\n",
      "592\n",
      "VRA,env,other\n",
      "281\n",
      "161\n",
      "1976\n"
     ]
    }
   ],
   "source": [
    "print(\"lets classify the noncontig by VRA type for badDiscoList and stillHasEnclave\")\n",
    "for LIST in [badDiscoList, stillHasEnclave]:\n",
    "    print(\"VRA,env,other\")\n",
    "    for LHD in [coreVTDs, envelopeVs,HDsToDraw]:\n",
    "        print(len(set(LHD).intersection(set(LIST))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "5b41c8e4-912c-4ed8-8bdc-1820f9cc1d03",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 825961 district pop vs 786629 target\n",
      "working on enclave-y HD 0 . We have evaluated 0 of 5407 enclavy HDs.Time is now 0\n",
      "working on enclave-y HD 146 . We have evaluated 100 of 5407 enclavy HDs.Time is now 27\n",
      "working on enclave-y HD 321 . We have evaluated 200 of 5407 enclavy HDs.Time is now 47\n",
      "working on enclave-y HD 488 . We have evaluated 300 of 5407 enclavy HDs.Time is now 80\n",
      "working on enclave-y HD 631 . We have evaluated 400 of 5407 enclavy HDs.Time is now 102\n",
      "working on enclave-y HD 760 . We have evaluated 500 of 5407 enclavy HDs.Time is now 123\n",
      "working on enclave-y HD 938 . We have evaluated 600 of 5407 enclavy HDs.Time is now 140\n",
      "working on enclave-y HD 1108 . We have evaluated 700 of 5407 enclavy HDs.Time is now 160\n",
      "working on enclave-y HD 1275 . We have evaluated 800 of 5407 enclavy HDs.Time is now 175\n",
      "working on enclave-y HD 1462 . We have evaluated 900 of 5407 enclavy HDs.Time is now 181\n",
      "working on enclave-y HD 1670 . We have evaluated 1000 of 5407 enclavy HDs.Time is now 189\n",
      "working on enclave-y HD 1885 . We have evaluated 1100 of 5407 enclavy HDs.Time is now 198\n",
      "working on enclave-y HD 2049 . We have evaluated 1200 of 5407 enclavy HDs.Time is now 211\n",
      "working on enclave-y HD 2243 . We have evaluated 1300 of 5407 enclavy HDs.Time is now 238\n",
      "working on enclave-y HD 2446 . We have evaluated 1400 of 5407 enclavy HDs.Time is now 265\n",
      "working on enclave-y HD 2654 . We have evaluated 1500 of 5407 enclavy HDs.Time is now 281\n",
      "working on enclave-y HD 2810 . We have evaluated 1600 of 5407 enclavy HDs.Time is now 303\n",
      "working on enclave-y HD 2928 . We have evaluated 1700 of 5407 enclavy HDs.Time is now 343\n",
      "working on enclave-y HD 3102 . We have evaluated 1800 of 5407 enclavy HDs.Time is now 359\n",
      "working on enclave-y HD 3278 . We have evaluated 1900 of 5407 enclavy HDs.Time is now 373\n",
      "working on enclave-y HD 3424 . We have evaluated 2000 of 5407 enclavy HDs.Time is now 384\n",
      "working on enclave-y HD 3560 . We have evaluated 2100 of 5407 enclavy HDs.Time is now 395\n",
      "working on enclave-y HD 3747 . We have evaluated 2200 of 5407 enclavy HDs.Time is now 407\n",
      "working on enclave-y HD 4160 . We have evaluated 2300 of 5407 enclavy HDs.Time is now 424\n",
      "working on enclave-y HD 4430 . We have evaluated 2400 of 5407 enclavy HDs.Time is now 442\n",
      "working on enclave-y HD 4689 . We have evaluated 2500 of 5407 enclavy HDs.Time is now 471\n",
      "working on enclave-y HD 4915 . We have evaluated 2600 of 5407 enclavy HDs.Time is now 500\n",
      "working on enclave-y HD 5215 . We have evaluated 2700 of 5407 enclavy HDs.Time is now 522\n",
      "working on enclave-y HD 5328 . We have evaluated 2800 of 5407 enclavy HDs.Time is now 560\n",
      "working on enclave-y HD 5433 . We have evaluated 2900 of 5407 enclavy HDs.Time is now 599\n",
      "working on enclave-y HD 5588 . We have evaluated 3000 of 5407 enclavy HDs.Time is now 615\n",
      "working on enclave-y HD 5730 . We have evaluated 3100 of 5407 enclavy HDs.Time is now 643\n",
      "working on enclave-y HD 5848 . We have evaluated 3200 of 5407 enclavy HDs.Time is now 690\n",
      "working on enclave-y HD 5998 . We have evaluated 3300 of 5407 enclavy HDs.Time is now 707\n",
      "working on enclave-y HD 6129 . We have evaluated 3400 of 5407 enclavy HDs.Time is now 725\n",
      "working on enclave-y HD 6279 . We have evaluated 3500 of 5407 enclavy HDs.Time is now 745\n",
      "working on enclave-y HD 6410 . We have evaluated 3600 of 5407 enclavy HDs.Time is now 762\n",
      "working on enclave-y HD 6558 . We have evaluated 3700 of 5407 enclavy HDs.Time is now 784\n",
      "working on enclave-y HD 6730 . We have evaluated 3800 of 5407 enclavy HDs.Time is now 801\n",
      "working on enclave-y HD 6844 . We have evaluated 3900 of 5407 enclavy HDs.Time is now 826\n",
      "working on enclave-y HD 6956 . We have evaluated 4000 of 5407 enclavy HDs.Time is now 858\n",
      "working on enclave-y HD 7064 . We have evaluated 4100 of 5407 enclavy HDs.Time is now 884\n",
      "working on enclave-y HD 7175 . We have evaluated 4200 of 5407 enclavy HDs.Time is now 914\n",
      "working on enclave-y HD 7282 . We have evaluated 4300 of 5407 enclavy HDs.Time is now 936\n",
      "working on enclave-y HD 7402 . We have evaluated 4400 of 5407 enclavy HDs.Time is now 962\n",
      "working on enclave-y HD 7520 . We have evaluated 4500 of 5407 enclavy HDs.Time is now 987\n",
      "working on enclave-y HD 7649 . We have evaluated 4600 of 5407 enclavy HDs.Time is now 1008\n",
      "working on enclave-y HD 7801 . We have evaluated 4700 of 5407 enclavy HDs.Time is now 1024\n",
      "working on enclave-y HD 7933 . We have evaluated 4800 of 5407 enclavy HDs.Time is now 1040\n",
      "working on enclave-y HD 8084 . We have evaluated 4900 of 5407 enclavy HDs.Time is now 1066\n",
      "working on enclave-y HD 8296 . We have evaluated 5000 of 5407 enclavy HDs.Time is now 1085\n",
      "working on enclave-y HD 8478 . We have evaluated 5100 of 5407 enclavy HDs.Time is now 1098\n",
      "working on enclave-y HD 8617 . We have evaluated 5200 of 5407 enclavy HDs.Time is now 1126\n",
      "working on enclave-y HD 8769 . We have evaluated 5300 of 5407 enclavy HDs.Time is now 1142\n",
      "working on enclave-y HD 8919 . We have evaluated 5400 of 5407 enclavy HDs.Time is now 1154\n",
      "Out of 5407 HDs with enclaves 5407 had enclaves.\n",
      "Of these, 5245 wouldn't be over 825961 if all enclaves filled, while 162 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"CANFILL\" CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "targetList = list( set(stillHasEnclave + eLgenerator) )\n",
    "for iii, t in enumerate(targetList):\n",
    "    if iii%100 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(targetList),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(targetList),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "3c16d430-1887-46f4-ab03-fa348cae7e2b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "do any of our complement-discontig HDs have a VRA core enclave?\n",
      "checking for coreVRA enclave for HD 12 out of 162\n",
      "checking for coreVRA enclave for HD 633 out of 162\n",
      "checking for coreVRA enclave for HD 2778 out of 162\n",
      "checking for coreVRA enclave for HD 8082 out of 162\n",
      "there were a total of 21 HDs that have a coreVRA enclave\n"
     ]
    }
   ],
   "source": [
    "hasCoreEnclave = list()\n",
    "print(\"do any of our complement-discontig HDs have a VRA core enclave?\")\n",
    "for i,t in enumerate( cantFill):\n",
    "    if i%50 == 0:\n",
    "        print(\"checking for coreVRA enclave for HD\",t,\"out of\",len(cantFill) )\n",
    "    enclaveLists = getEnclaveLists(HDunitList[t],unitNbrs)\n",
    "    for eL in enclaveLists:\n",
    "        if len(coreUset.intersection(set(eL)) )  > 0:\n",
    "            hasCoreEnclave.append(t)\n",
    "            break\n",
    "print(\"there were a total of\",len(hasCoreEnclave),\"HDs that have a coreVRA enclave\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "b09991e9-8b48-462d-8f33-e255b59a5d3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "of these, 21 are enclaveOnly (are contig)\n"
     ]
    }
   ],
   "source": [
    "print(\"of these,\",len(set(hasCoreEnclave).intersection(set(cantFill))),\"are enclaveOnly (are contig)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "5553b5dc-9068-4f57-b8cc-52c3b0cbb04f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.00073 0.13762\n",
      "CCB cluster 0 = unit 6613 with pop 97574.0 now has use of 1.0130723911830446\n",
      "CCB cluster 1 = unit 6614 with pop 58240.0 now has use of 1.0424394429298725\n",
      "CCB cluster 2 = unit 6615 with pop 37102.0 now has use of 1.0203451890291828\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "4d73e940-678e-4d9b-afea-56d6ea1bc5e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping\n",
    "#HDunitList = [savedHDunitList[t].copy() for t in range(nHDs) ]   #restart\n",
    "HDvPop = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "plt.axvline(aDP, ls=\"--\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "3778bd30-15c4-466d-accd-0da3ee80c72f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the HD centers for 162 cantFill HDs with border or big enclaves\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here are the HD centers for\",len(cantFill),\"cantFill HDs with border or big enclaves\")\n",
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u],0.1)\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.02))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "985174cd-525e-4abd-8f85-7259f9e288e9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the barredJettisonSet (cannot be shed in below MUSTFREE code) is {6613, 6614, 6615}\n",
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 800\n",
      "working on avg unit-to-HDcp dist for HD 1602\n",
      "working on avg unit-to-HDcp dist for HD 2402\n",
      "working on avg unit-to-HDcp dist for HD 3203\n",
      "working on avg unit-to-HDcp dist for HD 4004\n",
      "working on avg unit-to-HDcp dist for HD 4806\n",
      "working on avg unit-to-HDcp dist for HD 5606\n",
      "working on avg unit-to-HDcp dist for HD 6406\n",
      "working on avg unit-to-HDcp dist for HD 7206\n",
      "working on avg unit-to-HDcp dist for HD 8006\n",
      "working on avg unit-to-HDcp dist for HD 8807\n",
      "all unit-toHDcp distances computed\n"
     ]
    }
   ],
   "source": [
    "barredJettisonSet = set(list())\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u]% 1 > 0.23 and allUnits[u]%1 < 0.27:\n",
    "        barredJettisonSet.add(u)\n",
    "print(\"the barredJettisonSet (cannot be shed in below MUSTFREE code) is\",barredJettisonSet)\n",
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "print(\"all unit-toHDcp distances computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "2cae9189-626c-4f57-976b-8a82bdbbb39a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "How tight are our current unit usages around C-bus and Cleveland?\n",
      "unit usages for units in county 17\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit usages for units in county 24\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"How tight are our current unit usages around C-bus and Cleveland?\")\n",
    "coreUnitUse, envUnitUse, otherUnitUse = [0.]*nUnits, [0.]*nUnits, [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        if t in coreVTDs:\n",
    "            coreUnitUse[u] += nDistricts * HDweight[t]\n",
    "        elif t in envelopeVs:\n",
    "            envUnitUse[u] += nDistricts * HDweight[t]\n",
    "        else:\n",
    "            otherUnitUse[u] += nDistricts * HDweight[t]\n",
    "for c in barredVTDfusingCounties:\n",
    "    print(\"unit usages for units in county\",c)\n",
    "    plt.hist([coreUnitUse[u] for u in countyUnitList[c]],label=\"usage by coreVTDs\",histtype=\"step\",bins=50)\n",
    "    plt.hist([envUnitUse[u] for u in countyUnitList[c]],label=\"usage by envVTDs\",histtype=\"step\",bins=50)\n",
    "    plt.hist([otherUnitUse[u] for u in countyUnitList[c]],label=\"usage by other HDs\",histtype=\"step\",bins=50)\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "8a73f6b1-4ad1-4bf1-9c6a-1a1d59657ca7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "updated classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 700 time is now 11\n",
      "working on HD 1402 time is now 33\n",
      "working on HD 2102 time is now 46\n",
      "working on HD 2802 time is now 67\n",
      "working on HD 3503 time is now 83\n",
      "working on HD 4204 time is now 114\n",
      "working on HD 4906 time is now 148\n",
      "working on HD 5606 time is now 166\n",
      "working on HD 6306 time is now 180\n",
      "working on HD 7006 time is now 192\n",
      "working on HD 7706 time is now 217\n",
      "working on HD 8407 time is now 227\n",
      "out of 8934 total HDs, there were 8342.0 contiguous and 8375.0 complement-contiguous HDs\n",
      "397 HDs had both discontiguity problems, while enclave-only = 162 and discontig only= 195\n"
     ]
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"updated classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "44ef59ac-a53b-4e93-91fc-aea1ee636246",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for 838 HD VTDs within coreVTDs ... \n",
      "0 at least discontig\n",
      "0 encl only\n",
      "0 bothProb\n",
      "for 310 HD VTDs within envelopeVs ... \n",
      "0 at least discontig\n",
      "0 encl only\n",
      "0 bothProb\n",
      "for 7786 HD VTDs within other HD centers ... \n",
      "592 at least discontig\n",
      "162 encl only\n",
      "397 bothProb\n"
     ]
    }
   ],
   "source": [
    "setName = [\"coreVTDs\",\"envelopeVs\",\"other HD centers\"]\n",
    "for jj,SET in enumerate([set(coreVTDs), set(envelopeVs), set(HDsToDraw)]):\n",
    "    print(\"for\",len(SET), \"HD VTDs within\",setName[jj],\"... \")\n",
    "    for i, LIST in enumerate([sPgenerator,eLgenerator,doubleTroubleList]):\n",
    "        NAME = [\"at least discontig\", \"encl only\",\"bothProb\"]\n",
    "        print(len(set(LIST).intersection(SET)), NAME[i] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b760b565-a3d8-4968-8249-dad5f0a66c67",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "a722c870-a864-4405-a415-6fe03cef9006",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the contig pops for discontig Us relative to aDP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "... and here are the HD centers with contig pop < 0.7 * aDP ...\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are 366 HDs with major contig fails\n"
     ]
    }
   ],
   "source": [
    "contigHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in sPgenerator :\n",
    "    uCenterDist = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t]]\n",
    "    starterU = HDunitList[t][uCenterDist.index(np.min(uCenterDist))]\n",
    "    contigUs = getContigFromStarter(starterU,HDunitList[t],unitNbrs)\n",
    "    contigHDpop[t] = np.sum([unitPop[u] for u in contigUs] )\n",
    "print(\"here are the contig pops for discontig Us relative to aDP\")\n",
    "plt.hist([contigHDpop[t]/aDP for t in sPgenerator + doubleTroubleList])\n",
    "plt.show()\n",
    "print(\"... and here are the HD centers with contig pop < 0.7 * aDP ...\")\n",
    "FAILlist = list()\n",
    "for t in popHDlist:\n",
    "    if contigHDpop[t] < 0.7 * aDP:\n",
    "        FAILlist.append(t)\n",
    "        plotPoly(tractGeom[t])\n",
    "plotPoly(MAP)\n",
    "plt.show()\n",
    "print(\"there are\",len(FAILlist),\"HDs with major contig fails\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "26e78692-1268-4c8d-9583-695944204347",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's visualize some of these; more than for original levelL and maR\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Oh, I see, we constrained the opposite wedge and capped radius, so ran out of pop (?) \n"
     ]
    }
   ],
   "source": [
    "print(\"let's visualize some of these; more than for original levelL and maR\")\n",
    "for t in FAILlist:\n",
    "    if hdCP[t].x < -84.5 and hdCP[t].y > 40.7:\n",
    "        plotPoly(HDPoly1[t].intersection(MAP))\n",
    "        plotPoly(tractGeom[t])\n",
    "plt.show()\n",
    "print(\"Oh, I see, we constrained the opposite wedge and capped radius, so ran out of pop (?) \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "90a50c12-7c3f-4c08-9b26-452cc5879a6b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "visualizing a couple of these major fails\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"visualizing a couple of these major fails\")\n",
    "n=30\n",
    "for t in FAILlist[n:n+2] :\n",
    "    #plotPoly(MAP)\n",
    "    plotPoly(hdCP[t].buffer(0.1))\n",
    "    uCenterDist = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t]]\n",
    "    starterU = HDunitList[t][uCenterDist.index(np.min(uCenterDist))]\n",
    "    plotPoly(unitCP[starterU].buffer(0.05))\n",
    "    contigUs = getContigFromStarter(starterU,HDunitList[t],unitNbrs)\n",
    "    for u in HDunitList[t]:\n",
    "        if u in contigUs:\n",
    "            plotPoly(unitGeom[u])\n",
    "        else:\n",
    "            plotPoly(unitGeom[u],0.2)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e5afd232-9810-4ef3-be20-b8fb2ffed0c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see VRA-HD-WI for attempted linkers for near-border major discontiguity - not tried for OH"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "3c2d2e3b-0e6e-4698-b5cd-90a1b9bff214",
   "metadata": {},
   "outputs": [],
   "source": [
    "readyToMustFreeList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "a1128e1d-7b52-45d7-b8ae-b7055c28ff2c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "run the MUSTFREE CODE\n",
      "this code will solve large enclaves so HD and complement are contiguous for 162 HDs\n",
      "working on HD 12 cantFill 0 of 162 .Time is now 0\n",
      "working on HD 219 cantFill 20 of 162 .Time is now 5\n",
      "working on HD 612 cantFill 40 of 162 .Time is now 6\n",
      "working on HD 725 cantFill 60 of 162 .Time is now 9\n",
      "working on HD 2105 cantFill 80 of 162 .Time is now 9\n",
      "working on HD 2778 cantFill 100 of 162 .Time is now 10\n",
      "working on HD 4041 cantFill 120 of 162 .Time is now 11\n",
      "working on HD 5090 cantFill 140 of 162 .Time is now 20\n",
      "working on HD 8426 cantFill 160 of 162 .Time is now 21\n"
     ]
    }
   ],
   "source": [
    "print(\"run the MUSTFREE CODE\")\n",
    "#THIS IS THE MUSTFREE CODE - for high-pop HDs with map-border enclaves, can't fill; \n",
    "#  must jettison some inHD map-boundary units to connect the enclave to the larger complement\n",
    "#For each HD to be triaged, define the list(s) of contiguous enclave units that are on the map boundary, \n",
    "#  and the in-HD map-boundary segments.  ID which in-HD MBS's adjoin one vs. two enclaves.\n",
    "#     Fill all internal enclaves, and all boundary enclaves < 0.05 aDP.\n",
    "#   Then each loop, look for boundary enclaves that can be filled without overpopping.\n",
    "#     If none, pick the 1/2 has-1-boundary-enclave-neighbor that is least painful to jettison to free an enclave.\n",
    "#       (Jettison score based on pop-to-Free and distance from HDcP)\n",
    "#         Update HDpop, HDlist, and enclave & HD-boundary associations, then re-loop\n",
    "# Later, we will swell-fill to square up pop (w/ checkEnclave) biasing toward close-to-hdCP, underused\n",
    "borderSet = set(borderUnits)\n",
    "debug, debugPlot = False, False\n",
    "startTime = time.time()  #takes about 1.5sec per HD triage\n",
    "clusterJettisonBoost = 3.  #this discourages jettisoning of underused clusters\n",
    "nEnclavesPerHD = [0 for t in range(nHDs)]\n",
    "HDenclaveLists = [list() for t in range(nHDs)]\n",
    "targetList = cantFill.copy()\n",
    "print(\"this code will solve large enclaves so HD and complement are contiguous for\",len(targetList),\"HDs\")\n",
    "for iii,t in enumerate(targetList):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(targetList),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "dad66700-9f5e-494f-8a99-7a91e0ee84d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 1.00018 0.13695\n",
      "CCB cluster 0 = unit 6613 with pop 97574.0 now has use of 1.0130723911830446\n",
      "CCB cluster 1 = unit 6614 with pop 58240.0 now has use of 1.0424394429298725\n",
      "CCB cluster 2 = unit 6615 with pop 37102.0 now has use of 1.0203451890291828\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "postMustFreeUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs) ]\n",
    "plt.hist([HDvPop[t] for t in popHDlist] )\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "unitUse = [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "9e18db82-86c6-41a4-84de-7f617f4d5d85",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "updated classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 700 time is now 7\n",
      "working on HD 1402 time is now 21\n",
      "working on HD 2102 time is now 28\n",
      "working on HD 2802 time is now 36\n",
      "working on HD 3503 time is now 45\n",
      "working on HD 4204 time is now 61\n",
      "working on HD 4906 time is now 85\n",
      "working on HD 5606 time is now 101\n",
      "working on HD 6306 time is now 115\n",
      "working on HD 7006 time is now 126\n",
      "working on HD 7706 time is now 149\n",
      "working on HD 8407 time is now 157\n",
      "out of 8934 total HDs, there were 8330.0 contiguous and 8537.0 complement-contiguous HDs\n",
      "397 HDs had both discontiguity problems, while enclave-only = 0 and discontig only= 207\n"
     ]
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"updated classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "ad729d71-248b-4b35-96d9-aad02fc7285e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we have a total of 604 stubborn HDs with contiguity problems\n",
      "All HDdiam's calculated\n"
     ]
    }
   ],
   "source": [
    "preMustSwellList = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "triageList = list(set(sPgenerator+eLgenerator+doubleTroubleList))\n",
    "listToFix = list()\n",
    "for t in triageList:\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4)\n",
    "    if not (unbroken and noEnclave):\n",
    "        listToFix.append(t)\n",
    "\n",
    "print(\"we have a total of\",len(listToFix),\"stubborn HDs with contiguity problems\")\n",
    "HDdiam = [0.]*nHDs  #about 1 min per 4000 500-unit HDs\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:  #create a crude average diameter = weighted mean distance from each unit to center\n",
    "        HDdiam[t] += unitPop[u]/HDvPop[t] * unitCP[u].distance(hdCP[t])\n",
    "print(\"All HDdiam's calculated\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "1e8405de-1ca0-4309-9de9-b7d7599246d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will now force all in 604 listToFix to be contiguous and nil-enclave\n",
      "Let's first recalc unitUse\n",
      "Strategy:  1 - reduce HD to its primary contiguous piece.\n",
      "  If this is enclavy, fill enclaves if can do under aDP.  If too much enclave pop, remove some border units from this contig piece\n",
      "  If discontig piece not enclavy, simply grow contiguously until fill\n",
      "fixing HD 12 0 of 604 elapsed sec = 0\n",
      "fixing HD 8354 10 of 604 elapsed sec = 254\n",
      "fixing HD 202 20 of 604 elapsed sec = 498\n",
      "fixing HD 8404 30 of 604 elapsed sec = 541\n",
      "fixing HD 2352 40 of 604 elapsed sec = 546\n",
      "fixing HD 4434 50 of 604 elapsed sec = 783\n",
      "fixing HD 4447 60 of 604 elapsed sec = 839\n",
      "fixing HD 4468 70 of 604 elapsed sec = 854\n",
      "fixing HD 4479 80 of 604 elapsed sec = 922\n",
      "fixing HD 4491 90 of 604 elapsed sec = 949\n",
      "fixing HD 4504 100 of 604 elapsed sec = 984\n",
      "fixing HD 4560 110 of 604 elapsed sec = 995\n",
      "fixing HD 4594 120 of 604 elapsed sec = 1021\n",
      "fixing HD 2573 130 of 604 elapsed sec = 1350\n",
      "fixing HD 8765 140 of 604 elapsed sec = 1435\n",
      "fixing HD 6787 150 of 604 elapsed sec = 1499\n",
      "fixing HD 4764 160 of 604 elapsed sec = 1572\n",
      "fixing HD 4778 170 of 604 elapsed sec = 1754\n",
      "fixing HD 4788 180 of 604 elapsed sec = 1792\n",
      "fixing HD 4798 190 of 604 elapsed sec = 1832\n",
      "fixing HD 2773 200 of 604 elapsed sec = 1892\n",
      "fixing HD 741 210 of 604 elapsed sec = 2018\n",
      "fixing HD 2811 220 of 604 elapsed sec = 2057\n",
      "fixing HD 849 230 of 604 elapsed sec = 2094\n",
      "fixing HD 4955 240 of 604 elapsed sec = 2125\n",
      "fixing HD 4967 250 of 604 elapsed sec = 2150\n",
      "fixing HD 4977 260 of 604 elapsed sec = 2201\n",
      "fixing HD 2954 270 of 604 elapsed sec = 2236\n",
      "fixing HD 924 280 of 604 elapsed sec = 2284\n",
      "fixing HD 2978 290 of 604 elapsed sec = 2327\n",
      "fixing HD 953 300 of 604 elapsed sec = 2356\n",
      "fixing HD 3012 310 of 604 elapsed sec = 2383\n",
      "fixing HD 5067 320 of 604 elapsed sec = 2421\n",
      "fixing HD 5076 330 of 604 elapsed sec = 2467\n",
      "fixing HD 3042 340 of 604 elapsed sec = 2622\n",
      "fixing HD 1004 350 of 604 elapsed sec = 2653\n",
      "fixing HD 5119 360 of 604 elapsed sec = 2696\n",
      "fixing HD 1044 370 of 604 elapsed sec = 2717\n",
      "fixing HD 1060 380 of 604 elapsed sec = 2763\n",
      "fixing HD 3130 390 of 604 elapsed sec = 2820\n",
      "fixing HD 1110 400 of 604 elapsed sec = 2843\n",
      "fixing HD 3170 410 of 604 elapsed sec = 2873\n",
      "fixing HD 3186 420 of 604 elapsed sec = 2905\n",
      "fixing HD 1208 430 of 604 elapsed sec = 2932\n",
      "fixing HD 7400 440 of 604 elapsed sec = 3036\n",
      "fixing HD 1287 450 of 604 elapsed sec = 3184\n",
      "fixing HD 7517 460 of 604 elapsed sec = 3240\n",
      "fixing HD 1431 470 of 604 elapsed sec = 3312\n",
      "fixing HD 1468 480 of 604 elapsed sec = 3389\n",
      "fixing HD 7675 490 of 604 elapsed sec = 3424\n",
      "fixing HD 5646 500 of 604 elapsed sec = 3483\n",
      "fixing HD 7708 510 of 604 elapsed sec = 4056\n",
      "fixing HD 3637 520 of 604 elapsed sec = 4215\n",
      "fixing HD 3661 530 of 604 elapsed sec = 4373\n",
      "fixing HD 1663 540 of 604 elapsed sec = 5319\n",
      "fixing HD 3802 550 of 604 elapsed sec = 5354\n",
      "fixing HD 3927 560 of 604 elapsed sec = 5368\n",
      "fixing HD 3964 570 of 604 elapsed sec = 5384\n",
      "fixing HD 3995 580 of 604 elapsed sec = 5397\n",
      "fixing HD 4007 590 of 604 elapsed sec = 5411\n",
      "fixing HD 4037 600 of 604 elapsed sec = 5430\n"
     ]
    }
   ],
   "source": [
    "print(\"we will now force all in\",len(listToFix),\"listToFix to be contiguous and nil-enclave\")\n",
    "print(\"Let's first recalc unitUse\")\n",
    "unitUse = [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "print(\"Strategy:  1 - reduce HD to its primary contiguous piece.\")\n",
    "print(\"  If this is enclavy, fill enclaves if can do under aDP.  If too much enclave pop, remove some border units from this contig piece\")\n",
    "print(\"  If discontig piece not enclavy, simply grow contiguously until fill\")\n",
    "CCBset = set()\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop)\n",
    "for j in range(nCCBs):\n",
    "    CCBset.add( allUnits.index(j+0.25) )\n",
    "    \n",
    "for ijk,t in enumerate(listToFix):\n",
    "    if ijk%10 == 0:\n",
    "        SEC = r3(time.time()-startTime)\n",
    "        print(\"fixing HD\",t,ijk,\"of\",len(listToFix),\"elapsed sec =\",int(SEC) )\n",
    "    uCenterDist = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t]]\n",
    "    starterU = HDunitList[t][uCenterDist.index(np.min(uCenterDist))]\n",
    "    contigUs = getContigFromStarter(starterU,HDunitList[t],unitNbrs)\n",
    "    contigPop = np.sum([unitPop[u] for u in contigUs])\n",
    "    enclaveLists = getEnclaveLists(contigUs,unitNbrs)\n",
    "    ePop = np.sum([np.sum([unitPop[uu] for uu in eL]) for eL in enclaveLists])\n",
    "    shedBorderUset = set()\n",
    "    if ePop < 0.1 * aDP or contigPop + ePop < 1.2 * aDP:\n",
    "        contigList = contigUs.copy()\n",
    "        for eL in enclaveLists:\n",
    "            contigList += eL\n",
    "    else:  #severe enclave.  Jettison all but closest contiguous set of in HD border units, unless ...\n",
    "        #   we have a CCBu, then that is the starter for the contig boundary list we're saving (to not jettison too many CCBus)\n",
    "        contigBorderUs = list(set(contigUs).intersection(borderSet))\n",
    "        if len(contigBorderUs) > 0:\n",
    "            hasCCBu, CCBu = False, -999\n",
    "            CCBsInHD = set(contigBorderUs).intersection(CCBset)\n",
    "            for u in CCBsInHD:\n",
    "                hasCCBu = True  #these will be found in random order\n",
    "                CCBu = u\n",
    "            if hasCCBu:\n",
    "                starterBorderU = CCBu\n",
    "            else:\n",
    "                borderDist = [hdCP[t].distance(unitCP[u]) for u in contigBorderUs]\n",
    "                starterBorderU = borderDist.index(np.min(borderDist))\n",
    "            keptBorderUs = getContigFromStarter(starterBorderU, contigBorderUs, unitNbrs)\n",
    "            shedBorderUset = set(contigBorderUs).difference(set(keptBorderUs))  #this is like a MUSTFREE operation\n",
    "    contigList = list( set(contigList).difference(shedBorderUset) )\n",
    "\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(contigList, unitNbrs,6)\n",
    "    if not (unbroken and noEnclave):  #likely that jettisoning border units created a discontiguity\n",
    "        contigList = [starterU]  #KISS\n",
    "        print(\"for HD\",t,\"we are starting from the home unit\",starterU,\". Working on fixable HD\",ijk)\n",
    "    \n",
    "    contigPop = np.sum([unitPop[u] for u in contigList])\n",
    "    currPoly = hdCP[t]\n",
    "    for u in contigList:\n",
    "        currPoly = currPoly.union(unitCP[u])  #draw a crude 'polygon' = points collection for below distance calc\n",
    "    gap = aDP - contigPop\n",
    "    origGap = gap\n",
    "    currList, addedList = contigList.copy(), list()\n",
    "    adjoiners = list(set(getAdjoiners(currList, unitNbrs)).difference(coreUset))  #exclude core VRA units\n",
    "    nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "    nearHDscore = [ (unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "        currPoly) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] for uu in adjoiners ] \n",
    "    stillGoing = True\n",
    "\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd:\n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else: #we selected the best unit to add legally\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)  #so add it to our growing HD ...\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap and uu not in coreUset:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "                        currPoly) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] )\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    for u in list( set(HDunitList[t]).difference(set(contigList)) ):\n",
    "        unitUse[u] -= HDweight[t] * nDistricts       \n",
    "    HDunitList[t] = contigList + addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    #HDnAddedUnits[t] = len(addedList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "89d08c99-0597-4f73-b5bf-23dbf57d8fe7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "updated classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 700 time is now 7\n",
      "working on HD 1402 time is now 14\n",
      "working on HD 2102 time is now 19\n",
      "working on HD 2802 time is now 26\n",
      "working on HD 3503 time is now 32\n",
      "working on HD 4204 time is now 39\n",
      "working on HD 4906 time is now 48\n",
      "working on HD 5606 time is now 57\n",
      "working on HD 6306 time is now 66\n",
      "working on HD 7006 time is now 75\n",
      "working on HD 7706 time is now 86\n",
      "working on HD 8407 time is now 94\n",
      "out of 8934 total HDs, there were 8934.0 contiguous and 8934.0 complement-contiguous HDs\n",
      "0 HDs had both discontiguity problems, while enclave-only = 0 and discontig only= 0\n"
     ]
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"updated classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "id": "6c1fadc4-cf37-4a8d-9865-d01221f39a95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "#optional intermediate save\n",
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRAcontigOffPop.csv\" #\"contigUnpatchedB.csv\"  #underPatched\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "be7851e4-8a10-4a64-9b4e-afdab9048078",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now square up the 2441 HDs with pop < 782696 to within 1492\n",
      "working on squaring up HD 3 time is now 0\n",
      "working on squaring up HD 92 time is now 20\n",
      "working on squaring up HD 194 time is now 29\n",
      "working on squaring up HD 289 time is now 45\n",
      "working on squaring up HD 369 time is now 79\n",
      "working on squaring up HD 456 time is now 98\n",
      "working on squaring up HD 562 time is now 136\n",
      "working on squaring up HD 647 time is now 150\n",
      "working on squaring up HD 761 time is now 158\n",
      "working on squaring up HD 905 time is now 159\n",
      "working on squaring up HD 1211 time is now 162\n",
      "working on squaring up HD 1374 time is now 164\n",
      "working on squaring up HD 1548 time is now 165\n",
      "working on squaring up HD 1767 time is now 168\n",
      "working on squaring up HD 1851 time is now 169\n",
      "working on squaring up HD 1986 time is now 172\n",
      "working on squaring up HD 2103 time is now 221\n",
      "working on squaring up HD 2191 time is now 232\n",
      "working on squaring up HD 2293 time is now 264\n",
      "working on squaring up HD 2368 time is now 292\n",
      "working on squaring up HD 2421 time is now 296\n",
      "working on squaring up HD 2504 time is now 300\n",
      "working on squaring up HD 2677 time is now 306\n",
      "working on squaring up HD 2801 time is now 332\n",
      "working on squaring up HD 2930 time is now 348\n",
      "working on squaring up HD 3113 time is now 350\n",
      "working on squaring up HD 3296 time is now 352\n",
      "working on squaring up HD 3452 time is now 354\n",
      "working on squaring up HD 3608 time is now 357\n",
      "working on squaring up HD 3740 time is now 358\n",
      "working on squaring up HD 4102 time is now 360\n",
      "working on squaring up HD 4424 time is now 365\n",
      "working on squaring up HD 4680 time is now 375\n",
      "working on squaring up HD 4773 time is now 441\n",
      "working on squaring up HD 4928 time is now 459\n",
      "working on squaring up HD 5184 time is now 481\n",
      "working on squaring up HD 5307 time is now 493\n",
      "working on squaring up HD 5389 time is now 520\n",
      "working on squaring up HD 5475 time is now 531\n",
      "working on squaring up HD 5634 time is now 536\n",
      "working on squaring up HD 5736 time is now 549\n",
      "working on squaring up HD 5890 time is now 559\n",
      "working on squaring up HD 5997 time is now 562\n",
      "working on squaring up HD 6123 time is now 563\n",
      "working on squaring up HD 6450 time is now 566\n",
      "working on squaring up HD 6595 time is now 569\n",
      "working on squaring up HD 6700 time is now 604\n",
      "working on squaring up HD 6882 time is now 639\n",
      "working on squaring up HD 6985 time is now 666\n",
      "working on squaring up HD 7128 time is now 696\n",
      "working on squaring up HD 7291 time is now 703\n",
      "working on squaring up HD 7494 time is now 730\n",
      "working on squaring up HD 7652 time is now 742\n",
      "working on squaring up HD 7798 time is now 758\n",
      "working on squaring up HD 7985 time is now 763\n",
      "working on squaring up HD 8123 time is now 772\n",
      "working on squaring up HD 8290 time is now 784\n",
      "working on squaring up HD 8414 time is now 822\n",
      "working on squaring up HD 8530 time is now 826\n",
      "working on squaring up HD 8620 time is now 828\n",
      "working on squaring up HD 8749 time is now 831\n",
      "working on squaring up HD 8933 time is now 832\n",
      "We have addressed underpop in a total of 2441 HDs\n",
      "Here is a scatterplot of original (x) to final pop (y)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING UP UNDERPOPPED - here, we've not yet adopted avoidedEnclave but we now disallow picking up VRA coreUs\n",
    "HDnAddedUnits, HDaddedPop = [0]*nHDs, [0.]*nHDs\n",
    "underPoppedList = list()\n",
    "minDistrictPop, maxDistrictPop = 0.995 * aDP, 1.005 * aDP\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop < minDistrictPop and t in popHDlist:\n",
    "        underPoppedList.append(t)\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop)\n",
    "print(\"We will now square up the\",len(underPoppedList),\"HDs with pop <\",int(minDistrictPop),\"to within\",int(maxGap) ) \n",
    "for ii,t in enumerate(underPoppedList):\n",
    "    if ii%40 == 0:\n",
    "        print(\"working on squaring up HD\",t,\"time is now\",int(time.time() - startTime)) \n",
    "    gap = aDP - HDvPop[t]\n",
    "    origGap = gap\n",
    "    nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "    for u in HDunitList[t]:\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t] and uu not in nearHDlist+coreUs and unitPop[uu] < gap + maxGap:\n",
    "                nearHDlist.append(uu)   #below line: bias toward close, underused\n",
    "                nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  \n",
    "    currList = HDunitList[t].copy()\n",
    "    addedList = list()\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits) \n",
    "            #       not sure if avoidedEnclave(HDunitList[t], unitNbrs, [unitNoToAdd]) is robust\n",
    "            if canAdd: \n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else:\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist+coreUs and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  #bias toward close, underused\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    HDunitList[t] += addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n",
    "    HDaddedPop[t] = np.sum( [unitPop[u] for u in addedList] )\n",
    "    if HDvPop[t] > maxDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has overshot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after adding\",HDaddedPop[t] )\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original (x) to final pop (y)\")\n",
    "plt.scatter([HDvPop[t] - HDaddedPop[t] for t in underPoppedList], [HDvPop[t] for t in underPoppedList])\n",
    "plt.axhline(y=aDP, xmin = 0.9*aDP, xmax = 1.1*aDP, ls=\"--\")\n",
    "plt.axvline(x=aDP, ymin = 0.9*aDP, ymax = 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "fe4dfd92-8bc5-4e76-b2a2-76f60b2e66dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "amped unit avg and sd usage are 1.00384 0.12127\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the current barredJettisonSet (usually CCB's) is [6613, 6614, 6615]\n",
      "6613 0.9868859967008619\n",
      "6614 0.952850929975707\n",
      "6615 0.9666414055979581\n",
      "[6613, 6614, 6615] {6613, 6614, 6615}\n"
     ]
    }
   ],
   "source": [
    "ampedUnitUse = [0. for u in range(nUnits)]\n",
    "ampedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "ampedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in ampedHDlist[t]:\n",
    "        ampedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "#plt.hist(prevUnitUse,bins=50,weights=unitPop,label=\"previous\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.legend()\n",
    "ampedUnitUseAvg, ampedUnitUseSD = getWeightedAvgAndSD(ampedUnitUse,unitPop)\n",
    "#print(\"previous unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "plt.show()\n",
    "\n",
    "#CHECK ON BARRED JETTISON SET BEFORE RUNNING BELOW\n",
    "barredJettisonSet = list()\n",
    "for u in range(nUnits):\n",
    "    if abs(allUnits[u] - int(allUnits[u]) - 0.25) < 0.01:\n",
    "        barredJettisonSet.append(u)\n",
    "print(\"the current barredJettisonSet (usually CCB's) is\",barredJettisonSet)\n",
    "for u in barredJettisonSet:\n",
    "    print(u,unitUse[u])\n",
    "\n",
    "origBarredJettisonSet = set(list(barredJettisonSet))\n",
    "for u in origBarredJettisonSet:\n",
    "    if unitUse[u] > 1.04:\n",
    "        barredJettisonSet.remove(u)  #this one is overused in this state\n",
    "print(barredJettisonSet, origBarredJettisonSet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "31823195-d300-4938-9178-0c83d17a00e7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\n",
      "Let's now square down the 1811 overPopped HDs to within 1492\n",
      "working on squaring down HD 2 time is now 0\n",
      "working on squaring down HD 401 time is now 4\n",
      "working on squaring down HD 742 time is now 10\n",
      "working on squaring down HD 1090 time is now 14\n",
      "working on squaring down HD 1354 time is now 18\n",
      "working on squaring down HD 1576 time is now 21\n",
      "working on squaring down HD 1806 time is now 25\n",
      "working on squaring down HD 1984 time is now 31\n",
      "working on squaring down HD 2172 time is now 38\n",
      "working on squaring down HD 2517 time is now 44\n",
      "working on squaring down HD 2728 time is now 49\n",
      "working on squaring down HD 2990 time is now 54\n",
      "working on squaring down HD 3258 time is now 58\n",
      "working on squaring down HD 3474 time is now 62\n",
      "working on squaring down HD 3743 time is now 66\n",
      "working on squaring down HD 4380 time is now 71\n",
      "working on squaring down HD 5189 time is now 76\n",
      "working on squaring down HD 5489 time is now 82\n",
      "working on squaring down HD 5806 time is now 87\n",
      "working on squaring down HD 6134 time is now 91\n",
      "working on squaring down HD 6355 time is now 95\n",
      "working on squaring down HD 6673 time is now 99\n",
      "working on squaring down HD 7003 time is now 105\n",
      "working on squaring down HD 7274 time is now 112\n",
      "working on squaring down HD 7566 time is now 119\n",
      "working on squaring down HD 7806 time is now 123\n",
      "working on squaring down HD 7912 time is now 127\n",
      "working on squaring down HD 8163 time is now 133\n",
      "working on squaring down HD 8412 time is now 138\n",
      "working on squaring down HD 8692 time is now 143\n",
      "working on squaring down HD 8901 time is now 149\n",
      "We have addressed overpop in a total of 1811 HDs\n",
      "Here is a scatterplot of original to final pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING DOWN  #the barred set is dynamic; we stop shedding upon underuse. \n",
    "#   but not yet using avoidedIsland timesaver,  \n",
    "print(\"Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\")\n",
    "#HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]\n",
    "#HDvPop =     [ampedHDpop[t]         for t in range(nHDs)]\n",
    "#unitUse =    [ampedUnitUse[u]       for u in range(nUnits)] #saving in case I need to re-run\n",
    "HDnShedUnits = [0]*nHDs\n",
    "overPoppedList = list()\n",
    "startTime = time.time()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "maxGap = 0.9 * np.median(unitPop)   \n",
    "print(\"Let's now square down the\",len(overPoppedList),\"overPopped HDs to within\", int(maxGap))  \n",
    "barredSet = set(list(barredJettisonSet))\n",
    "for ii,t in enumerate(overPoppedList):\n",
    "    for u in origBarredJettisonSet:\n",
    "        if unitUse[u] < 1.00:\n",
    "            barredSet = barredSet.union({u})  #adding back in when become underused (new for VA)\n",
    "    if ii%60 == 0:\n",
    "        print(\"working on squaring down HD\",t,\"time is now\",int(time.time()-startTime))\n",
    "    unbroken, noEnclave, sPL, ePL = enclaveCheck(HDunitList[t],unitNbrs)\n",
    "    if not (unbroken and noEnclave):\n",
    "        print(\"SKIPPING shedding attempt on overpopped HD\",t,\"with pop\",HDvPop[t],\"because it was not legal to start\")\n",
    "    else:\n",
    "        #avgDist = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        excess = HDvPop[t] - aDP\n",
    "        origExcess = excess\n",
    "        HDboundaryList, HDboundaryScore = list(), list()  #these will be dynamic lists of the overused border units to jettison\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "        #barredSet = barredJettisonSet  #see above for VA-on modification\n",
    "        #barredSet = set(get2nbrs([starterU],unitNbrs)).union(barredJettisonSet)  #weaker specification - must be close to be barred\n",
    "\n",
    "        for u in set(HDunitList[t]).difference(barredSet):\n",
    "            isBoundary = False\n",
    "            for uu in unitNbrs[u]:\n",
    "                if uu not in HDunitList[t]:\n",
    "                    isBoundary = True\n",
    "                    break\n",
    "            if isBoundary and HDvPop[t] - unitPop[u] > aDP - maxGap:  #shedding this unit won't send us too far under targetpop\n",
    "                HDboundaryList.append(u)\n",
    "                HDboundaryScore.append((1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t])  #low-score = bias toward far, overused\n",
    "        currList = HDunitList[t].copy()\n",
    "        shedList, stillGoing = list(), True\n",
    "        while excess > maxGap and len(HDboundaryList) > 0 and stillGoing:   #shed the highest-scoring neighboring overused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(HDboundaryScore), 0, True\n",
    "            while i < len(HDboundaryScore) and notYetPicked and stillGoing:        \n",
    "                listNo = idx[i]   #low (large negative) score is preferred to shed\n",
    "                unitNoToShed = HDboundaryList[listNo]  # attempt to shed this unit ...\n",
    "                tryList = list(set(currList).difference( {unitNoToShed} ) )\n",
    "                #contig = avoidedIsland(tryList, unitNbrs, [unitNoToShed] )  #new for MO - faster contig check\n",
    "                unbroken, noEnclave, sPL, ePL = enclaveCheck(tryList,unitNbrs) \n",
    "                if unbroken and noEnclave:             #... if that won't eff up contiguity\n",
    "                #if contig:\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't drop any more units without creating an enclave\n",
    "                print(\"can't drop any more units to HD\",t,\"without creating an enclave\")\n",
    "            else: #add this eligible unit\n",
    "                shedList.append(unitNoToShed)\n",
    "                excess -= unitPop[unitNoToShed]        \n",
    "                del currList[currList.index(unitNoToShed) ]\n",
    "                del HDboundaryList[listNo]\n",
    "                del HDboundaryScore[listNo]\n",
    "                for u in unitNbrs[unitNoToShed]:      # ... and ID any neighboring units that will now be on boundary after we shed this unit\n",
    "                    if u in currList and u not in HDboundaryList and (unitPop[u] <= excess + maxGap and\n",
    "                                                                      u not in barredSet): \n",
    "                        HDboundaryList.append(u)\n",
    "                        HDboundaryScore.append( (1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t] )  #low-score, bias toward far & overused       \n",
    "                for uu in HDboundaryList.copy():\n",
    "                    if unitPop[uu] > excess + maxGap:  #checking to see if the latest pop change DQ's any large units on current boundary\n",
    "                        del HDboundaryScore[HDboundaryList.index(uu)]\n",
    "                        del HDboundaryList[HDboundaryList.index(uu)]   \n",
    "        for u in shedList:\n",
    "            unitUse[u] -= HDweight[t] * nDistricts\n",
    "        HDunitList[t], HDvPop[t] = currList.copy(), np.sum( [unitPop[u] for u in currList ] )    \n",
    "        if HDvPop[t] < minDistrictPop:\n",
    "            print(\"Oops! HD\",t,\"now has undershot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after shedding\",\n",
    "                 np.sum([unitPop[u] for u in shedList]) )\n",
    "\n",
    "        HDnShedUnits[t] = -1 * len(shedList)\n",
    "\n",
    "print(\"We have addressed overpop in a total of\",len(overPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original to final pop\")\n",
    "plt.scatter([ampedHDpop[t] for t in overPoppedList], [HDvPop[t] for t in overPoppedList])\n",
    "plt.axhline(aDP, 0.9*aDP, 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "2109057c-54e6-4c25-bc30-d14caa29e493",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are the stats prior to any equi-pop patching\n",
      "amped unit avg and sd usage are 1.00384 0.12127\n",
      "shed unit avg and sd usage are 1.00129 0.11987\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here are the final populations\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 8941\n",
      "working on HD 600 out of 8941\n",
      "working on HD 1202 out of 8941\n",
      "working on HD 1802 out of 8941\n",
      "working on HD 2402 out of 8941\n",
      "working on HD 3003 out of 8941\n",
      "working on HD 3603 out of 8941\n",
      "working on HD 4204 out of 8941\n",
      "working on HD 4806 out of 8941\n",
      "working on HD 5406 out of 8941\n",
      "working on HD 6006 out of 8941\n",
      "working on HD 6606 out of 8941\n",
      "working on HD 7206 out of 8941\n",
      "working on HD 7806 out of 8941\n",
      "working on HD 8407 out of 8941\n",
      "all done checking HD and complement contiguity for all 8941 HDs\n",
      "underpop contigFail, enclaveFail = 0 0 out of 2441\n",
      "overpop contigFail, enclaveFail = 0 0 out of 1811\n",
      "total contigFail, enclaveFail =  0 0\n",
      "CCB unit 6613 with pop 97574.0 now has use 0.98689\n",
      "CCB unit 6614 with pop 58240.0 now has use 0.95285\n",
      "CCB unit 6615 with pop 37102.0 now has use 0.96664\n"
     ]
    }
   ],
   "source": [
    "print(\"Here are the stats prior to any equi-pop patching\")\n",
    "shedUnitUse = [0. for u in range(nUnits)]\n",
    "shedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "shedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in shedHDlist[t]:\n",
    "        shedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "#plt.hist(latestUnitUse,bins=50,weights=unitPop,label=\"pre-squaring\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.hist(shedUnitUse, bins=50, weights=unitPop,label=\"shed\",histtype=\"step\")\n",
    "plt.legend()\n",
    "#latestAvg, latestSD = getWeightedAvgAndSD(latestUnitUse,unitPop)\n",
    "shedUnitUseAvg, shedUnitUseSD = getWeightedAvgAndSD(shedUnitUse,unitPop)\n",
    "#print(\"orig unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "print(\"shed unit avg and sd usage are\", r5(shedUnitUseAvg),  r5(shedUnitUseSD) )\n",
    "plt.show()\n",
    "# note: when I ran this early Jan, went from 0.12662 to 0.09961 to 0.09432 SD orig-amped-shed, but contig not yet done\n",
    "print(\"and here are the final populations\")\n",
    "plt.hist([shedHDpop[t] for t in popHDlist],bins=20)\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "failEnclaveSet, failContigSet = set(), set()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%600 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs,5)\n",
    "    if not noEnclave:\n",
    "        noEnclave, eList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if not unbroken or not noEnclave:\n",
    "        #print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        pass\n",
    "    if not unbroken:\n",
    "        failContigSet.add(t)\n",
    "    if not noEnclave:\n",
    "        failEnclaveSet.add(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")\n",
    "failContigUnderpopped, failEnclaveUnderpopped = set(underPoppedList).intersection(failContigSet), set(underPoppedList).intersection(failEnclaveSet)\n",
    "failContigOverpopped, failEnclaveOverpopped = set(overPoppedList).intersection(failContigSet), set(overPoppedList).intersection(failEnclaveSet)\n",
    "print(\"underpop contigFail, enclaveFail =\",len(failContigUnderpopped), len(failEnclaveUnderpopped),\"out of\",len(underPoppedList))\n",
    "print(\"overpop contigFail, enclaveFail =\",len(failContigOverpopped), len(failEnclaveOverpopped),\"out of\",len(overPoppedList))\n",
    "print(\"total contigFail, enclaveFail = \",len(failContigSet), len(failEnclaveSet) )\n",
    "for u in range(nUnits):\n",
    "    if abs( allUnits[u]%1 - 0.25) < 0.01:\n",
    "        print(\"CCB unit\",u,\"with pop\",unitPop[u],\"now has use\",r5(unitUse[u]) )\n",
    "\n",
    "#NOTE - ignore the use = 1.1 stick in amped below - an artifact of use calculation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "7ebdd05c-eea4-4c18-b34f-41bd8e6c21fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRA_60_1p5contigGoodPop.csv\" #\"contigUnpatchedB.csv\" unpatchedContigGoodPop.csv\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d4bb902d-5e55-429a-870d-5395f49d3c04",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5c4c929d-0208-4785-aa15-5681a493a530",
   "metadata": {},
   "outputs": [],
   "source": [
    "#SKIP THE BELOW IF NOT A COLD RESTART\n",
    "print(\"upon restart, need to pull in unit topology and data\")  #note, this won't have geometries for plotting, but fine for patching\n",
    "topologyFile = \"enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv\"\n",
    "infile = input(topologyFile)\n",
    "topDF = pd.read_csv(infile)\n",
    "unitCPx, unitCPy, unitPop = topDF[\"centroid x\"], topDF[\"centroid y\"], topDF[\"unitPop\"]\n",
    "nUnits = len(unitPop)\n",
    "unitCP = [Point(unitCPx[u], unitCPy[u]) for u in range(nUnits) ]\n",
    "onBorder = topDF[\"onBorder\"]\n",
    "borderSet = set()\n",
    "for i, onB in enumerate(onBorder):\n",
    "    if onB == 1:\n",
    "        borderSet.add(i)\n",
    "borderList = list(borderSet)\n",
    "\n",
    "nbrListString = topDF[\"neighborList\"]\n",
    "unitNbrs = [ast.literal_eval(nbrListString[u]) for u in range(nUnits)]\n",
    "unitParentVTDno = topDF[\"unitParentVTDno\"]  #NOTE: some units are VTD fragments, so they share a parentVTDno\n",
    "uVLstring = topDF[\"unitVTDlist\"]\n",
    "unitNbrs = [ast.literal_eval(uVLstring[u]) for u in range(nUnits)]\n",
    "allUnits = topDF[\"allUnits\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 397,
   "id": "e9b59389-b643-4844-9d87-d2e0bc511ddc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working avg precinct-to-HDcP distance for HD 0\n",
      "working avg precinct-to-HDcP distance for HD 800\n",
      "working avg precinct-to-HDcP distance for HD 1600\n",
      "working avg precinct-to-HDcP distance for HD 2400\n",
      "working avg precinct-to-HDcP distance for HD 3200\n",
      "working avg precinct-to-HDcP distance for HD 4000\n",
      "working avg precinct-to-HDcP distance for HD 4800\n",
      "working avg precinct-to-HDcP distance for HD 5600\n",
      "working avg precinct-to-HDcP distance for HD 6400\n",
      "all avgDist to HD centers computed\n"
     ]
    }
   ],
   "source": [
    "#needed for restart only  about 5sec per 2000 HDs\n",
    "avgDist = [0. for t in range(nHDs)]\n",
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if t%800 == 0:\n",
    "        print(\"working avg precinct-to-HDcP distance for HD\",t)\n",
    "    if HDvPop[t] > 0.1 * aDP:\n",
    "        avgDist[t] = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        popHDlist.append(t)\n",
    "print(\"all avgDist to HD centers computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "72941b8f-7be6-4a31-9377-618f44a34336",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unitUse = [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs)]\n",
    "unpatchedUnitUse = unitUse.copy()              #... for safekeeping\n",
    "unpatchedHDlist =  [HDunitList[t].copy() for t in range(nHDs) ]\n",
    "unpatchedHDpop =   HDvPop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "5f9ca091-1eb6-4135-a233-7f5ae0f5e3d1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unitUse = unpatchedUnitUse.copy()              #... for restarting\n",
    "HDunitList =  [unpatchedHDlist[t].copy() for t in range(nHDs) ]\n",
    "HDvPop =   unpatchedHDpop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "c30cf6d4-37e3-4639-8739-549ae1673d23",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we exchange in under-used, THEN shed over-used.  Using new-for-WI avoidedEnclave routines\n",
      "Currently, we will stop patching when the overall sd of usage is less than 0.07\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxSD value 0.07\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this would currently cover a total of 1662 units\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated number of units to try boosting usage 200\n",
      "enter updated stopMinUse value for ending usage boost on a unit; I reco 0.98 0.98\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 2588 units out of 6616 with usage below 0.98\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n",
      "enter 1 to print out stats for every patched HD, otherwise enter reporting frequency; e.g. 10 10\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's further tighten the distro with exchanges up to 39331\n",
      "current avg and SD of unit usage are 1.00129 0.11987 . Now trying to increase up to 200 units' underusage\n",
      "all done trying to increase usage of unit 4043 final usage = 0.66851 41 sec elapsed 40 9 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00129 0.11931\n",
      "all done trying to increase usage of unit 4035 final usage = 0.70054 90 sec elapsed 43 6 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.0013 0.11872\n",
      "all done trying to increase usage of unit 3971 final usage = 0.75949 141 sec elapsed 73 11 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.0013 0.1176\n",
      "all done trying to increase usage of unit 4018 final usage = 0.74632 197 sec elapsed 58 27 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.0013 0.11693\n",
      "all done trying to increase usage of unit 3988 final usage = 0.80534 263 sec elapsed 88 1 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00131 0.11586\n",
      "all done trying to increase usage of unit 4044 final usage = 0.77052 326 sec elapsed 61 25 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00131 0.11528\n",
      "all done trying to increase usage of unit 2949 final usage = 0.93422 540 sec elapsed 129 36 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00132 0.113\n",
      "all done trying to increase usage of unit 3991 final usage = 0.83523 634 sec elapsed 96 28 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00132 0.11219\n",
      "all done trying to increase usage of unit 2953 final usage = 0.93024 884 sec elapsed 125 38 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00132 0.11034\n",
      "begin usage increase for unit 2951 with usage 0.69767 . Sec, total UU units tried = 887 10\n",
      "all done trying to increase usage of unit 2951 final usage = 0.95861 1185 sec elapsed 140 24 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00133 0.10867\n",
      "all done trying to increase usage of unit 3967 final usage = 0.82577 1245 sec elapsed 82 23 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00133 0.10778\n",
      "all done trying to increase usage of unit 4480 final usage = 0.7909 1308 sec elapsed 55 20 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00133 0.10695\n",
      "all done trying to increase usage of unit 4022 final usage = 0.8566 1373 sec elapsed 93 8 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00134 0.10593\n",
      "all done trying to increase usage of unit 4054 final usage = 0.88071 1433 sec elapsed 110 26 successful, failed patches, couldn't start= 19\n",
      "current avg and SD of usage are 1.00135 0.10504\n",
      "all done trying to increase usage of unit 2969 final usage = 0.98127 1675 sec elapsed 142 16 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00135 0.10334\n",
      "all done trying to increase usage of unit 4034 final usage = 0.91346 1768 sec elapsed 119 4 successful, failed patches, couldn't start= 26\n",
      "current avg and SD of usage are 1.00135 0.10236\n",
      "all done trying to increase usage of unit 3478 final usage = 0.86181 1821 sec elapsed 84 9 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00135 0.10164\n",
      "all done trying to increase usage of unit 2872 final usage = 0.98008 2202 sec elapsed 139 14 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00135 0.10041\n",
      "all done trying to increase usage of unit 2970 final usage = 0.98063 2526 sec elapsed 143 20 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00135 0.09912\n",
      "begin usage increase for unit 2879 with usage 0.72826 . Sec, total UU units tried = 2529 20\n",
      "all done trying to increase usage of unit 2879 final usage = 0.96826 2896 sec elapsed 124 30 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00136 0.0981\n",
      "all done trying to increase usage of unit 1190 final usage = 0.90258 2968 sec elapsed 96 17 successful, failed patches, couldn't start= 27\n",
      "current avg and SD of usage are 1.00137 0.09692\n",
      "all done trying to increase usage of unit 4493 final usage = 0.78699 3037 sec elapsed 34 33 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00137 0.09645\n",
      "all done trying to increase usage of unit 2881 final usage = 0.93571 3519 sec elapsed 103 124 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00137 0.09567\n",
      "all done trying to increase usage of unit 3568 final usage = 0.95875 3585 sec elapsed 131 17 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00138 0.09452\n",
      "all done trying to increase usage of unit 2431 final usage = 0.98003 3838 sec elapsed 126 8 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00139 0.09325\n",
      "all done trying to increase usage of unit 2973 final usage = 0.98067 4142 sec elapsed 126 19 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00139 0.09234\n",
      "all done trying to increase usage of unit 2880 final usage = 0.94666 4638 sec elapsed 102 128 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00139 0.09173\n",
      "all done trying to increase usage of unit 4357 final usage = 0.85216 4698 sec elapsed 66 7 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00139 0.09078\n",
      "all done trying to increase usage of unit 1182 final usage = 0.98142 4777 sec elapsed 122 9 successful, failed patches, couldn't start= 15\n",
      "current avg and SD of usage are 1.0014 0.08951\n",
      "begin usage increase for unit 1311 with usage 0.75276 . Sec, total UU units tried = 4779 30\n",
      "all done trying to increase usage of unit 1311 final usage = 0.94279 4858 sec elapsed 108 26 successful, failed patches, couldn't start= 19\n",
      "current avg and SD of usage are 1.0014 0.08844\n",
      "all done trying to increase usage of unit 3605 final usage = 0.98184 4953 sec elapsed 138 16 successful, failed patches, couldn't start= 39\n",
      "current avg and SD of usage are 1.0014 0.08743\n",
      "all done trying to increase usage of unit 3982 final usage = 0.90997 5049 sec elapsed 112 10 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.0014 0.08667\n",
      "all done trying to increase usage of unit 2955 final usage = 0.98006 5399 sec elapsed 115 19 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.0014 0.08593\n",
      "all done trying to increase usage of unit 3016 final usage = 0.98094 5756 sec elapsed 111 22 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00141 0.08513\n",
      "all done trying to increase usage of unit 2965 final usage = 0.98043 6010 sec elapsed 115 20 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00141 0.08421\n",
      "all done trying to increase usage of unit 4538 final usage = 0.84847 6064 sec elapsed 50 8 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00142 0.08355\n",
      "all done trying to increase usage of unit 3970 final usage = 0.96481 6172 sec elapsed 122 15 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00142 0.08256\n",
      "all done trying to increase usage of unit 4029 final usage = 0.97492 6302 sec elapsed 125 11 successful, failed patches, couldn't start= 16\n",
      "current avg and SD of usage are 1.00142 0.08185\n",
      "all done trying to increase usage of unit 2816 final usage = 0.98049 6498 sec elapsed 108 20 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00143 0.08079\n",
      "begin usage increase for unit 904 with usage 0.78115 . Sec, total UU units tried = 6500 40\n",
      "all done trying to increase usage of unit 904 final usage = 0.98077 6582 sec elapsed 103 13 successful, failed patches, couldn't start= 18\n",
      "current avg and SD of usage are 1.00143 0.07984\n",
      "all done trying to increase usage of unit 2814 final usage = 0.98041 6769 sec elapsed 101 13 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00144 0.0791\n",
      "all done trying to increase usage of unit 4512 final usage = 0.91737 6850 sec elapsed 79 6 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00144 0.07824\n",
      "all done trying to increase usage of unit 4053 final usage = 0.9805 6960 sec elapsed 121 18 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00144 0.07735\n",
      "all done trying to increase usage of unit 2861 final usage = 0.98044 7204 sec elapsed 106 14 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00144 0.07681\n",
      "all done trying to increase usage of unit 4440 final usage = 0.86673 7293 sec elapsed 43 49 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00144 0.07633\n",
      "all done trying to increase usage of unit 2815 final usage = 0.98036 7473 sec elapsed 104 1 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00145 0.0757\n",
      "all done trying to increase usage of unit 3081 final usage = 0.9805 7717 sec elapsed 103 17 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00145 0.07527\n",
      "all done trying to increase usage of unit 3357 final usage = 0.98082 7809 sec elapsed 108 11 successful, failed patches, couldn't start= 17\n",
      "current avg and SD of usage are 1.00145 0.0746\n",
      "all done trying to increase usage of unit 3996 final usage = 0.98001 7916 sec elapsed 117 9 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00145 0.0739\n",
      "begin usage increase for unit 3015 with usage 0.79937 . Sec, total UU units tried = 7918 50\n",
      "all done trying to increase usage of unit 3015 final usage = 0.98138 8120 sec elapsed 93 30 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00145 0.07334\n",
      "all done trying to increase usage of unit 3608 final usage = 0.98097 8194 sec elapsed 105 3 successful, failed patches, couldn't start= 15\n",
      "current avg and SD of usage are 1.00145 0.07269\n",
      "all done trying to increase usage of unit 2081 final usage = 0.98057 8351 sec elapsed 95 7 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00146 0.07216\n",
      "all done trying to increase usage of unit 4494 final usage = 0.91838 8418 sec elapsed 69 4 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00146 0.0714\n",
      "all done trying to increase usage of unit 4051 final usage = 0.84409 8517 sec elapsed 29 136 successful, failed patches, couldn't start= 64\n",
      "current avg and SD of usage are 1.00146 0.07123\n",
      "all done trying to increase usage of unit 2585 final usage = 0.98013 8718 sec elapsed 91 5 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00146 0.07076\n",
      "all done trying to increase usage of unit 3979 final usage = 0.83425 8831 sec elapsed 20 159 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00146 0.07063\n",
      "all done trying to increase usage of unit 4027 final usage = 0.98113 8924 sec elapsed 132 20 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00147 0.07002\n",
      "   Couldn't find any HDs adjacent to underused unit 2669\n",
      "all done trying to increase usage of unit 2669 final usage = 0.80538 8954 sec elapsed 0 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00147 0.07002\n",
      "all done trying to increase usage of unit 4444 final usage = 0.88419 9038 sec elapsed 57 24 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00147 0.06938\n"
     ]
    }
   ],
   "source": [
    "#Now using faster avoidedEnclave, avoidedIsland subroutines vs. wontEnclave - are these buggy?\n",
    "#  updated to exclude VRA cores\n",
    "\n",
    "#FIRST PATCHING BLOCK - boosting underuse.  Suppresses long strings.  For some states (e.g. MA), do overused first. MA:over-und-over-und\n",
    "print(\"Here, we exchange in under-used, THEN shed over-used.  Using new-for-WI avoidedEnclave routines\")\n",
    "maxSD = 0.07  #0.07  #0.05   #adjust down if distro already tight\n",
    "print(\"Currently, we will stop patching when the overall sd of usage is less than\",maxSD)\n",
    "maxSD = float(input(\"enter updated maxSD value\"))\n",
    "stopMinUse = 1. - maxSD\n",
    "#print(\"we will stop patching on individual underused units when their usage exceeds\",r5(stopMinUse))\n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        maxNtries +=1\n",
    "print(\"this would currently cover a total of\",maxNtries,\"units\")\n",
    "maxNtries = int(input(\"enter updated number of units to try boosting usage\"))\n",
    "stopMinUse = float(input(\"enter updated stopMinUse value for ending usage boost on a unit; I reco 0.98\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage below\",stopMinUse)\n",
    "nSmallUsers = 5\n",
    "maxExchangePop = 0.05*aDP \n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP\n",
    "debug1 = int(input(\"enter 1 to print out stats for every patched HD, otherwise enter reporting frequency; e.g. 10\"))\n",
    "print(\"Let's further tighten the distro with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "\n",
    "attemptedSmallUs, startTime = list(), time.time()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to increase up to\",maxNtries,\"units' underusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedSmallUs) < maxNtries: \n",
    "    #each round, find the (5) most underused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nSmallFound, smallUsers = 0,0,list()\n",
    "    while nSmallFound < nSmallUsers:\n",
    "        consideredSmallU = idx[idxNo]\n",
    "        if consideredSmallU not in attemptedSmallUs:\n",
    "            smallUsers.append(consideredSmallU)\n",
    "            nSmallFound +=1\n",
    "        idxNo +=1\n",
    "    UUUclusters = [ [b] + unitNbrs[b] for b in smallUsers ]\n",
    "    smallUnderUse = [np.sum([(unitUse[j] - 1.) for j in UUUclusters[i] ]) for i in range(nSmallUsers) ]\n",
    "    smallI = smallUnderUse.index(np.max(smallUnderUse))\n",
    "    UUU = smallUsers[ smallI ]  #pick the unit that centers cluster with least composite use\n",
    "    attemptedSmallUs.append(UUU)  #so we don't try this unit again in a future loop\n",
    "    UUUc = UUUclusters[smallI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    if len(attemptedSmallUs) % debug1 == 0:\n",
    "        print(\"begin usage increase for unit\",UUU,\"with usage\",r5(unitUse[UUU]),\". Sec, total UU units tried =\",\n",
    "              int(time.time()-startTime),len(attemptedSmallUs) )\n",
    "    for u in UUUc.copy():\n",
    "        if unitUse[u] > 1. or u in coreUs:  #the VRA core can't be messed with\n",
    "            UUUc.remove(u)  #...drop any overused neighbors of the primary UUU from the target sheddable cluster\n",
    "    uuuHDs, uuuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if UUU not in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(UUUc) ) > 0: #the UUU or one of its underused 1-neighbors adjoins this HD\n",
    "                uuuHDs.append(t)  #Note: we'll check later if we can contiguously pick up the UUU's cluster\n",
    "                uuuDists.append( unitCP[UUU].distance(hdCP[t]) / avgDist[t] )\n",
    "        idx0 = np.argsort(uuuDists)\n",
    "    hasCandidates = True\n",
    "    if len(uuuDists) == 0:  #this underused unit is buried inside others; skip it\n",
    "        hasCandidates = False\n",
    "        print(\"   Couldn't find any HDs adjacent to underused unit\",UUU)\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo = 0,0,0,-1\n",
    "    while unitUse[UUU] < stopMinUse and idxNo < 0.8*len(uuuHDs) and hasCandidates: #arbitrarily only examine 80% closest of HDs\n",
    "        excess, giveUpOnShedding = 99*aDP, True  #default = failed swap\n",
    "        idxNo += 1\n",
    "        if idxNo % 20 == 0 and debug1 == 1:\n",
    "            print(\"try to add unit\",UUU,\"from\",abs(idxNo),\"th HD.  Usage up to\",unitUse[UUU] )\n",
    "        t = uuuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).union(set(UUUc))\n",
    "        complementContig = avoidedEnclave(HDunitList[t], unitNbrs, UUUc)\n",
    "        #contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        loopUUUc = UUUc.copy()  #default; we will add whole cluster\n",
    "        if not complementContig: #we can't add whole cluster; neighbors may be enclavy.   Try just adding the UUU\n",
    "            trySet = set(HDunitList[t]).union({UUU})\n",
    "            complementContig  = avoidedEnclave(HDunitList[t], unitNbrs, [UUU])\n",
    "            loopUUUc = [UUU]\n",
    "        if complementContig:  #we can at least add the cluster, let's go for more\n",
    "            HDuuuSet = set(loopUUUc).difference(set(HDunitList[t]))  #the subset of the UUU cluster that adjoins (NOT in) this HD\n",
    "            HDuuuCpop = np.sum([unitPop[u] for u in HDuuuSet])\n",
    "            giveUpOnAdding = False            \n",
    "            addCandidates, addUseDists = list(), list()\n",
    "            uuCandidates = getAdjoiners(trySet, unitNbrs)  #any adjoiner can be picked up, even if far from UUUc\n",
    "            for u in set(uuCandidates):\n",
    "                if HDuuuCpop + unitPop[u] <= maxExchangePop and u not in coreUs:\n",
    "                    addCandidates.append(u)  #Below's relative scoring of use and distance is a bit arbitrary\n",
    "                    addUseDists.append((unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t])  #bias toward close, underused\n",
    "            if len(addCandidates) == 0:\n",
    "                giveUpOnAdding = True\n",
    "            while HDuuuCpop < maxExchangePop and not giveUpOnAdding:\n",
    "                addNneighbors = [len( set(unitNbrs[addC]).intersection(trySet) ) for addC in addCandidates ]\n",
    "                addScores = addUseDists.copy()\n",
    "                for jjj, u in enumerate(addCandidates):\n",
    "                    if addNneighbors[jjj] == 1:\n",
    "                        addScores[jjj] += 0.4321    #discourage growing fingers\n",
    "                #print(\"HDuuuCpop is now\",HDuuuCpop)\n",
    "                idx, ij, notYetPicked = np.argsort(addScores), 0, True\n",
    "                while ij < 0.5*len(addScores) and notYetPicked:\n",
    "                    listNo = idx[ij]   #work from low to high score\n",
    "                    addU = addCandidates[listNo]\n",
    "                    cContig = avoidedEnclave(list(trySet), unitNbrs, [addU])\n",
    "                    #cContig = wontEnclave(addU, list(trySet), unitNbrs, borderUnits)  #4/20/24 sub this in as faster? vs below line\n",
    "                    #contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)  #4/20/24 this is unnec slow\n",
    "                    if cContig: #contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDuuuCpop += unitPop[addU]\n",
    "                        HDuuuSet.add(addU)\n",
    "                        trySet.add(addU)\n",
    "                        del addUseDists[addCandidates.index(addU)]\n",
    "                        del addCandidates[addCandidates.index(addU)]                        \n",
    "                        for uu in list(set(unitNbrs[addU]).difference(trySet.union(coreUset)) ): \n",
    "                            if uu not in addCandidates and unitPop[uu] + HDuuuCpop < maxExchangePop and unitUse[uu] < 1.01:\n",
    "                                addCandidates.append(uu)\n",
    "                                addUseDists.append( (unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnAdding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            addSet = HDuuuSet.copy()  #we're done building the list of underused units to add to this HD\n",
    "            trySet = set(HDunitList[t]).union(addSet) \n",
    "            excess = np.sum([unitPop[u] for u in trySet]) - aDP\n",
    "            shedCandidates, shedScores, giveUpOnShedding = list(), list(), False\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if unitPop[u] <= excess + maxGap and u not in coreUs:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward OVERUSED, far\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            shedSet = set()\n",
    "            while excess > maxGap and not giveUpOnShedding:\n",
    "                #print(\"excess pop is now\",excess,\"for HD\",t)\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    if excess - unitPop[shedU] >= -1*maxGap:\n",
    "                        cContig = avoidedIsland(list(trySet), unitNbrs, [shedU])\n",
    "                        #contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                        if cContig: # and contig :\n",
    "                            notYetPicked = False\n",
    "                            excess -= unitPop[shedU]\n",
    "                            trySet.remove(shedU)\n",
    "                            shedSet.add(shedU)\n",
    "                            del shedScores[shedCandidates.index(shedU)]\n",
    "                            del shedCandidates[shedCandidates.index(shedU)]\n",
    "                            newSheddables = ( set(unitNbrs[shedU]).intersection(trySet) ).difference(coreUset)\n",
    "                            for u in newSheddables:\n",
    "                                if excess - unitPop[u] >= -1*maxGap and u not in shedCandidates:\n",
    "                                    shedCandidates.append(u)  #we'll check enclavity if ever picked\n",
    "                                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                            for kkk, u in enumerate(shedCandidates): #checking if this shed eliminates high-pop future sheds ...\n",
    "                                if excess - unitPop[u] < -1*maxGap:\n",
    "                                    del shedScores[kkk]\n",
    "                                    del shedCandidates[kkk]\n",
    "                    ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all shedcandidates would create a discontig, so can't shed enough units to square pop\n",
    "            legitSwap = False\n",
    "            if abs(excess) <= 2.*maxGap:  #giving ourselves a bit more margin after exchanges\n",
    "                contig,cContig, __, ___ = enclaveCheck(list(trySet), unitNbrs) \n",
    "                if contig and cContig:\n",
    "                    legitSwap = True\n",
    "            if legitSwap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t] = np.sum([ unitPop[u] for u in HDunitList[t] ])\n",
    "                nPatchSuccess +=1\n",
    "                #print(\"we added\",addSet,\"and shed units\",shedSet,\"from HD\",t)\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "        else:  #adding neither the UUU cluster or just the UUU worked; couldn't even start\n",
    "            nCouldntStart +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "\n",
    "    print(\"all done trying to increase usage of unit\",UUU,\"final usage =\",r5(unitUse[UUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "bde6573c-b41d-4b8f-8e67-d8eced822e45",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00129 1.00147 and their SDs are 0.11987 0.06938\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 8941\n",
      "working on HD 500 out of 8941\n",
      "working on HD 1000 out of 8941\n",
      "working on HD 1500 out of 8941\n",
      "working on HD 2000 out of 8941\n",
      "working on HD 2500 out of 8941\n",
      "working on HD 3000 out of 8941\n",
      "working on HD 3500 out of 8941\n",
      "working on HD 4000 out of 8941\n",
      "working on HD 4500 out of 8941\n",
      "working on HD 5000 out of 8941\n",
      "working on HD 5500 out of 8941\n",
      "working on HD 6000 out of 8941\n",
      "working on HD 6500 out of 8941\n",
      "working on HD 7000 out of 8941\n",
      "working on HD 7500 out of 8941\n",
      "working on HD 8000 out of 8941\n",
      "working on HD 8500 out of 8941\n",
      "all done checking HD and complement contiguity for all 8941 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"up-patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "FAILlist = list()\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        FAILlist.append(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "1ee72cf0-618e-411f-aa37-518ac2c679ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "#optional intermediate save\n",
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRA60_1p5underPatched.csv\" #\"contigUnpatchedB.csv\"  #underPatched\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "1d4c25c6-0ae6-4368-a15d-72bc48b374ee",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.04  is default maxSD.  Enter updated value\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "e.g. 0.04  0.04\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default use threshold for moving on to next overused unit is 1.02\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated stopMaxUse value 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 2691 units out of 6616 with usage above 1.02\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this block reduces overuse, with exchanges up to 39331\n",
      "current avg and SD of unit usage are 1.00147 0.06938 . Now trying to reduce up to 2691 units' overusage\n",
      "starting to reduce usage for unit 4564 with usage 1.28911 . Total units tried = 1\n",
      "try to drop unit 4564 from 62 th HD.  usage down to 1.2729175975011706\n",
      "try to drop unit 4564 from 124 th HD.  usage down to 1.2391266099905687\n",
      "try to drop unit 4564 from 186 th HD.  usage down to 1.200333269827537\n",
      "try to drop unit 4564 from 248 th HD.  usage down to 1.1847516087193222\n",
      "try to drop unit 4564 from 310 th HD.  usage down to 1.1701335520102287\n",
      "all done trying to reduce usage of unit 4564 final usage = 1.17013 170 sec elapsed 67 1 successful, failed patches, couldn't start= 243\n",
      "current avg and SD of usage are 1.00146 0.06841\n",
      "starting to reduce usage for unit 3815 with usage 1.19169 . Total units tried = 2\n",
      "try to drop unit 3815 from 38 th HD.  usage down to 1.1259196192906664\n",
      "try to drop unit 3815 from 76 th HD.  usage down to 1.0626598803605067\n",
      "all done trying to reduce usage of unit 3815 final usage = 1.01907 202 sec elapsed 94 1 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00145 0.06688\n",
      "starting to reduce usage for unit 1840 with usage 1.18432 . Total units tried = 3\n",
      "try to drop unit 1840 from 39 th HD.  usage down to 1.1566736003243538\n",
      "try to drop unit 1840 from 78 th HD.  usage down to 1.134839951835035\n",
      "try to drop unit 1840 from 117 th HD.  usage down to 1.1240458028206064\n",
      "try to drop unit 1840 from 156 th HD.  usage down to 1.113592347709825\n",
      "try to drop unit 1840 from 195 th HD.  usage down to 1.0764605259500273\n",
      "all done trying to reduce usage of unit 1840 final usage = 1.07051 236 sec elapsed 65 15 successful, failed patches, couldn't start= 118\n",
      "current avg and SD of usage are 1.00144 0.06578\n",
      "starting to reduce usage for unit 1003 with usage 1.15612 . Total units tried = 4\n",
      "try to drop unit 1003 from 44 th HD.  usage down to 1.1051258499550118\n",
      "try to drop unit 1003 from 88 th HD.  usage down to 1.0672401793711\n",
      "try to drop unit 1003 from 132 th HD.  usage down to 1.0299278406922054\n",
      "all done trying to reduce usage of unit 1003 final usage = 1.01962 307 sec elapsed 85 4 successful, failed patches, couldn't start= 52\n",
      "current avg and SD of usage are 1.00144 0.06447\n",
      "starting to reduce usage for unit 1307 with usage 1.13204 . Total units tried = 5\n",
      "try to drop unit 1307 from 62 th HD.  usage down to 1.1097582700478847\n",
      "try to drop unit 1307 from 124 th HD.  usage down to 1.0943939919901315\n",
      "try to drop unit 1307 from 186 th HD.  usage down to 1.0532170657474802\n",
      "all done trying to reduce usage of unit 1307 final usage = 1.01834 370 sec elapsed 90 1 successful, failed patches, couldn't start= 139\n",
      "current avg and SD of usage are 1.00143 0.06349\n",
      "starting to reduce usage for unit 2002 with usage 1.13362 . Total units tried = 6\n",
      "try to drop unit 2002 from 40 th HD.  usage down to 1.0676838441933898\n",
      "try to drop unit 2002 from 80 th HD.  usage down to 1.0224211335987927\n",
      "all done trying to reduce usage of unit 2002 final usage = 1.01905 510 sec elapsed 60 0 successful, failed patches, couldn't start= 24\n",
      "current avg and SD of usage are 1.00143 0.06254\n",
      "starting to reduce usage for unit 402 with usage 1.13131 . Total units tried = 7\n",
      "try to drop unit 402 from 59 th HD.  usage down to 1.0446514108117602\n",
      "all done trying to reduce usage of unit 402 final usage = 1.01989 538 sec elapsed 69 0 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00143 0.06157\n",
      "starting to reduce usage for unit 184 with usage 1.12438 . Total units tried = 8\n",
      "try to drop unit 184 from 40 th HD.  usage down to 1.0731807115044696\n",
      "try to drop unit 184 from 80 th HD.  usage down to 1.0268628668052935\n",
      "all done trying to reduce usage of unit 184 final usage = 1.01982 570 sec elapsed 63 0 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.00142 0.06083\n",
      "starting to reduce usage for unit 891 with usage 1.11717 . Total units tried = 9\n",
      "try to drop unit 891 from 41 th HD.  usage down to 1.1055034099900258\n",
      "try to drop unit 891 from 82 th HD.  usage down to 1.0934342013287393\n",
      "try to drop unit 891 from 123 th HD.  usage down to 1.059531344178133\n",
      "try to drop unit 891 from 164 th HD.  usage down to 1.033873787994149\n",
      "all done trying to reduce usage of unit 891 final usage = 1.01994 624 sec elapsed 68 0 successful, failed patches, couldn't start= 121\n",
      "current avg and SD of usage are 1.00141 0.06005\n",
      "starting to reduce usage for unit 6378 with usage 1.11603 . Total units tried = 10\n",
      "try to drop unit 6378 from 42 th HD.  usage down to 1.0668931292379107\n",
      "try to drop unit 6378 from 84 th HD.  usage down to 1.0296710490185645\n",
      "all done trying to reduce usage of unit 6378 final usage = 1.01941 649 sec elapsed 58 0 successful, failed patches, couldn't start= 35\n",
      "current avg and SD of usage are 1.00141 0.05948\n",
      "starting to reduce usage for unit 5247 with usage 1.11828 . Total units tried = 11\n",
      "try to drop unit 5247 from 40 th HD.  usage down to 1.095338527700619\n",
      "try to drop unit 5247 from 80 th HD.  usage down to 1.0840905438966308\n",
      "try to drop unit 5247 from 120 th HD.  usage down to 1.0698983545670961\n",
      "try to drop unit 5247 from 160 th HD.  usage down to 1.05107247389878\n",
      "try to drop unit 5247 from 200 th HD.  usage down to 1.0476566361409458\n",
      "all done trying to reduce usage of unit 5247 final usage = 1.04677 677 sec elapsed 44 20 successful, failed patches, couldn't start= 139\n",
      "current avg and SD of usage are 1.0014 0.05891\n",
      "starting to reduce usage for unit 6067 with usage 1.10473 . Total units tried = 12\n",
      "try to drop unit 6067 from 31 th HD.  usage down to 1.0564562003239464\n",
      "all done trying to reduce usage of unit 6067 final usage = 1.01962 710 sec elapsed 48 3 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00139 0.05825\n",
      "starting to reduce usage for unit 1867 with usage 1.10915 . Total units tried = 13\n",
      "try to drop unit 1867 from 30 th HD.  usage down to 1.0961813637383715\n",
      "try to drop unit 1867 from 60 th HD.  usage down to 1.0820400242452017\n",
      "try to drop unit 1867 from 90 th HD.  usage down to 1.0752871659758996\n",
      "try to drop unit 1867 from 120 th HD.  usage down to 1.0617534820272942\n",
      "try to drop unit 1867 from 150 th HD.  usage down to 1.0533263928956673\n",
      "all done trying to reduce usage of unit 1867 final usage = 1.05118 729 sec elapsed 31 2 successful, failed patches, couldn't start= 120\n",
      "current avg and SD of usage are 1.00139 0.05774\n",
      "starting to reduce usage for unit 4813 with usage 1.10259 . Total units tried = 14\n",
      "try to drop unit 4813 from 41 th HD.  usage down to 1.0602495981167925\n",
      "try to drop unit 4813 from 82 th HD.  usage down to 1.023030060389265\n",
      "all done trying to reduce usage of unit 4813 final usage = 1.01958 749 sec elapsed 50 0 successful, failed patches, couldn't start= 33\n",
      "current avg and SD of usage are 1.00139 0.05716\n",
      "starting to reduce usage for unit 1848 with usage 1.10187 . Total units tried = 15\n",
      "try to drop unit 1848 from 22 th HD.  usage down to 1.096591976167022\n",
      "try to drop unit 1848 from 44 th HD.  usage down to 1.0818277261783784\n",
      "try to drop unit 1848 from 66 th HD.  usage down to 1.0574083635098879\n",
      "try to drop unit 1848 from 88 th HD.  usage down to 1.0336665749109637\n",
      "all done trying to reduce usage of unit 1848 final usage = 1.01962 773 sec elapsed 40 18 successful, failed patches, couldn't start= 36\n",
      "current avg and SD of usage are 1.00138 0.05662\n",
      "starting to reduce usage for unit 2463 with usage 1.09892 . Total units tried = 16\n",
      "try to drop unit 2463 from 34 th HD.  usage down to 1.0411745532502874\n",
      "all done trying to reduce usage of unit 2463 final usage = 1.01814 869 sec elapsed 44 1 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00137 0.05602\n",
      "starting to reduce usage for unit 3771 with usage 1.0974 . Total units tried = 17\n",
      "try to drop unit 3771 from 48 th HD.  usage down to 1.0960567816392783\n",
      "try to drop unit 3771 from 96 th HD.  usage down to 1.093903291069211\n",
      "try to drop unit 3771 from 144 th HD.  usage down to 1.0918197190241459\n",
      "try to drop unit 3771 from 192 th HD.  usage down to 1.0900933670795465\n",
      "try to drop unit 3771 from 240 th HD.  usage down to 1.0900933670795465\n",
      "all done trying to reduce usage of unit 3771 final usage = 1.09009 879 sec elapsed 5 5 successful, failed patches, couldn't start= 232\n",
      "current avg and SD of usage are 1.00137 0.05595\n",
      "starting to reduce usage for unit 1228 with usage 1.09591 . Total units tried = 18\n",
      "try to drop unit 1228 from 68 th HD.  usage down to 1.0531535034520265\n",
      "all done trying to reduce usage of unit 1228 final usage = 1.01976 914 sec elapsed 57 1 successful, failed patches, couldn't start= 62\n",
      "current avg and SD of usage are 1.00137 0.05547\n",
      "starting to reduce usage for unit 3876 with usage 1.09363 . Total units tried = 19\n",
      "try to drop unit 3876 from 43 th HD.  usage down to 1.0560176204852967\n",
      "try to drop unit 3876 from 86 th HD.  usage down to 1.0541298203102376\n",
      "try to drop unit 3876 from 129 th HD.  usage down to 1.0528725581061074\n",
      "try to drop unit 3876 from 172 th HD.  usage down to 1.0528725581061074\n",
      "try to drop unit 3876 from 215 th HD.  usage down to 1.0528725581061074\n",
      "all done trying to reduce usage of unit 3876 final usage = 1.05287 931 sec elapsed 19 0 successful, failed patches, couldn't start= 198\n",
      "current avg and SD of usage are 1.00136 0.05514\n",
      "starting to reduce usage for unit 3762 with usage 1.09359 . Total units tried = 20\n",
      "try to drop unit 3762 from 33 th HD.  usage down to 1.0607962338577208\n",
      "all done trying to reduce usage of unit 3762 final usage = 1.01964 955 sec elapsed 49 11 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00136 0.0546\n",
      "starting to reduce usage for unit 628 with usage 1.09135 . Total units tried = 21\n",
      "try to drop unit 628 from 48 th HD.  usage down to 1.051858103870621\n",
      "try to drop unit 628 from 96 th HD.  usage down to 1.023099978914267\n",
      "all done trying to reduce usage of unit 628 final usage = 1.01998 974 sec elapsed 44 0 successful, failed patches, couldn't start= 54\n",
      "current avg and SD of usage are 1.00136 0.05408\n",
      "starting to reduce usage for unit 9 with usage 1.08947 . Total units tried = 22\n",
      "try to drop unit 9 from 22 th HD.  usage down to 1.084690571965738\n",
      "try to drop unit 9 from 44 th HD.  usage down to 1.0832184692029647\n",
      "try to drop unit 9 from 66 th HD.  usage down to 1.0832184692029647\n",
      "try to drop unit 9 from 88 th HD.  usage down to 1.0811921032238105\n",
      "try to drop unit 9 from 110 th HD.  usage down to 1.0811921032238105\n",
      "all done trying to reduce usage of unit 9 final usage = 1.08119 983 sec elapsed 5 0 successful, failed patches, couldn't start= 110\n",
      "current avg and SD of usage are 1.00136 0.05402\n",
      "starting to reduce usage for unit 1338 with usage 1.0851 . Total units tried = 23\n",
      "try to drop unit 1338 from 55 th HD.  usage down to 1.04577773468725\n",
      "all done trying to reduce usage of unit 1338 final usage = 1.01847 1010 sec elapsed 39 10 successful, failed patches, couldn't start= 26\n",
      "current avg and SD of usage are 1.00135 0.05351\n",
      "starting to reduce usage for unit 4565 with usage 1.17013 . Total units tried = 24\n",
      "try to drop unit 4565 from 35 th HD.  usage down to 1.1165365532353704\n",
      "try to drop unit 4565 from 70 th HD.  usage down to 1.0602368856577005\n",
      "all done trying to reduce usage of unit 4565 final usage = 1.01824 1108 sec elapsed 85 1 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00135 0.05257\n",
      "starting to reduce usage for unit 3882 with usage 1.10037 . Total units tried = 25\n",
      "try to drop unit 3882 from 23 th HD.  usage down to 1.0699072532884581\n",
      "try to drop unit 3882 from 46 th HD.  usage down to 1.0489431370009845\n",
      "try to drop unit 3882 from 69 th HD.  usage down to 1.0363933973860466\n",
      "try to drop unit 3882 from 92 th HD.  usage down to 1.021810935562409\n",
      "all done trying to reduce usage of unit 3882 final usage = 1.01914 1140 sec elapsed 52 0 successful, failed patches, couldn't start= 46\n",
      "current avg and SD of usage are 1.00134 0.05201\n",
      "starting to reduce usage for unit 2672 with usage 1.08056 . Total units tried = 26\n",
      "try to drop unit 2672 from 49 th HD.  usage down to 1.0571706405248797\n",
      "try to drop unit 2672 from 98 th HD.  usage down to 1.0461908896077179\n",
      "try to drop unit 2672 from 147 th HD.  usage down to 1.0461908896077179\n",
      "try to drop unit 2672 from 196 th HD.  usage down to 1.0461908896077179\n",
      "try to drop unit 2672 from 245 th HD.  usage down to 1.0437259437899136\n",
      "all done trying to reduce usage of unit 2672 final usage = 1.04373 1215 sec elapsed 21 1 successful, failed patches, couldn't start= 228\n",
      "current avg and SD of usage are 1.00134 0.05174\n",
      "starting to reduce usage for unit 1024 with usage 1.08044 . Total units tried = 27\n",
      "try to drop unit 1024 from 40 th HD.  usage down to 1.0378146503124537\n",
      "all done trying to reduce usage of unit 1024 final usage = 1.01805 1260 sec elapsed 31 15 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00134 0.05133\n",
      "starting to reduce usage for unit 2812 with usage 1.0772 . Total units tried = 28\n",
      "try to drop unit 2812 from 55 th HD.  usage down to 1.0718052234307922\n",
      "try to drop unit 2812 from 110 th HD.  usage down to 1.0677194390788463\n",
      "try to drop unit 2812 from 165 th HD.  usage down to 1.0446908194349442\n",
      "try to drop unit 2812 from 220 th HD.  usage down to 1.0308952588290585\n",
      "try to drop unit 2812 from 275 th HD.  usage down to 1.0272569530371265\n",
      "all done trying to reduce usage of unit 2812 final usage = 1.02644 1307 sec elapsed 32 0 successful, failed patches, couldn't start= 248\n",
      "current avg and SD of usage are 1.00133 0.05095\n",
      "starting to reduce usage for unit 4296 with usage 1.07732 . Total units tried = 29\n",
      "try to drop unit 4296 from 10 th HD.  usage down to 1.0619683225859375\n",
      "try to drop unit 4296 from 20 th HD.  usage down to 1.0480176699791375\n",
      "try to drop unit 4296 from 30 th HD.  usage down to 1.0355747150205667\n",
      "try to drop unit 4296 from 40 th HD.  usage down to 1.0243343586920335\n",
      "all done trying to reduce usage of unit 4296 final usage = 1.01945 1330 sec elapsed 35 7 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00133 0.05047\n",
      "starting to reduce usage for unit 1170 with usage 1.07381 . Total units tried = 30\n",
      "try to drop unit 1170 from 32 th HD.  usage down to 1.0464616649863627\n",
      "all done trying to reduce usage of unit 1170 final usage = 1.01812 1360 sec elapsed 36 3 successful, failed patches, couldn't start= 18\n",
      "current avg and SD of usage are 1.00133 0.05015\n",
      "starting to reduce usage for unit 6606 with usage 1.07186 . Total units tried = 31\n",
      "try to drop unit 6606 from 42 th HD.  usage down to 1.0268730367725682\n",
      "all done trying to reduce usage of unit 6606 final usage = 1.01857 1374 sec elapsed 27 1 successful, failed patches, couldn't start= 43\n",
      "current avg and SD of usage are 1.00132 0.04953\n",
      "starting to reduce usage for unit 1494 with usage 1.07292 . Total units tried = 32\n",
      "try to drop unit 1494 from 52 th HD.  usage down to 1.036810366044242\n",
      "all done trying to reduce usage of unit 1494 final usage = 1.01965 1409 sec elapsed 45 5 successful, failed patches, couldn't start= 17\n",
      "current avg and SD of usage are 1.00132 0.04912\n",
      "starting to reduce usage for unit 1151 with usage 1.07187 . Total units tried = 33\n",
      "try to drop unit 1151 from 50 th HD.  usage down to 1.0305838035813202\n",
      "all done trying to reduce usage of unit 1151 final usage = 1.01848 1441 sec elapsed 34 8 successful, failed patches, couldn't start= 31\n",
      "current avg and SD of usage are 1.00132 0.04878\n",
      "starting to reduce usage for unit 3814 with usage 1.06976 . Total units tried = 34\n",
      "all done trying to reduce usage of unit 3814 final usage = 1.01797 1459 sec elapsed 27 2 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00131 0.04854\n",
      "starting to reduce usage for unit 3775 with usage 1.06972 . Total units tried = 35\n",
      "all done trying to reduce usage of unit 3775 final usage = 1.0185 1472 sec elapsed 31 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00131 0.04824\n",
      "starting to reduce usage for unit 5567 with usage 1.06749 . Total units tried = 36\n",
      "try to drop unit 5567 from 40 th HD.  usage down to 1.0598135607699632\n",
      "try to drop unit 5567 from 80 th HD.  usage down to 1.0365408619115082\n",
      "all done trying to reduce usage of unit 5567 final usage = 1.01939 1492 sec elapsed 27 33 successful, failed patches, couldn't start= 34\n",
      "current avg and SD of usage are 1.00131 0.04793\n",
      "starting to reduce usage for unit 6297 with usage 1.06649 . Total units tried = 37\n",
      "try to drop unit 6297 from 44 th HD.  usage down to 1.026107746735271\n",
      "all done trying to reduce usage of unit 6297 final usage = 1.01998 1574 sec elapsed 29 5 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00131 0.04766\n",
      "starting to reduce usage for unit 1911 with usage 1.06588 . Total units tried = 38\n",
      "try to drop unit 1911 from 45 th HD.  usage down to 1.0519407348547156\n",
      "all done trying to reduce usage of unit 1911 final usage = 1.01892 1631 sec elapsed 29 0 successful, failed patches, couldn't start= 48\n",
      "current avg and SD of usage are 1.00131 0.04734\n",
      "starting to reduce usage for unit 1877 with usage 1.0672 . Total units tried = 39\n",
      "try to drop unit 1877 from 17 th HD.  usage down to 1.0672020419938286\n",
      "try to drop unit 1877 from 34 th HD.  usage down to 1.0637963742032674\n",
      "try to drop unit 1877 from 51 th HD.  usage down to 1.060417402576798\n",
      "try to drop unit 1877 from 68 th HD.  usage down to 1.0418050912212162\n",
      "all done trying to reduce usage of unit 1877 final usage = 1.01828 1653 sec elapsed 27 16 successful, failed patches, couldn't start= 39\n",
      "current avg and SD of usage are 1.00131 0.047\n",
      "starting to reduce usage for unit 1429 with usage 1.06441 . Total units tried = 40\n",
      "try to drop unit 1429 from 39 th HD.  usage down to 1.0283209858630677\n",
      "all done trying to reduce usage of unit 1429 final usage = 1.01982 1673 sec elapsed 26 2 successful, failed patches, couldn't start= 19\n",
      "current avg and SD of usage are 1.0013 0.04671\n",
      "starting to reduce usage for unit 3900 with usage 1.06706 . Total units tried = 41\n",
      "try to drop unit 3900 from 34 th HD.  usage down to 1.03366784615687\n",
      "all done trying to reduce usage of unit 3900 final usage = 1.01924 1691 sec elapsed 29 0 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.0013 0.04638\n",
      "starting to reduce usage for unit 1019 with usage 1.06346 . Total units tried = 42\n",
      "try to drop unit 1019 from 41 th HD.  usage down to 1.0334695317950462\n",
      "all done trying to reduce usage of unit 1019 final usage = 1.01967 1740 sec elapsed 21 24 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.0013 0.04616\n",
      "starting to reduce usage for unit 5968 with usage 1.06188 . Total units tried = 43\n",
      "try to drop unit 5968 from 37 th HD.  usage down to 1.0272645805125782\n",
      "all done trying to reduce usage of unit 5968 final usage = 1.01928 1757 sec elapsed 25 0 successful, failed patches, couldn't start= 16\n",
      "current avg and SD of usage are 1.0013 0.04595\n",
      "starting to reduce usage for unit 2940 with usage 1.06096 . Total units tried = 44\n",
      "try to drop unit 2940 from 56 th HD.  usage down to 1.0569608849498726\n",
      "try to drop unit 2940 from 112 th HD.  usage down to 1.0569608849498726\n",
      "try to drop unit 2940 from 168 th HD.  usage down to 1.0569608849498726\n",
      "try to drop unit 2940 from 224 th HD.  usage down to 1.0569608849498726\n",
      "try to drop unit 2940 from 280 th HD.  usage down to 1.0569608849498726\n",
      "all done trying to reduce usage of unit 2940 final usage = 1.05696 1775 sec elapsed 2 0 successful, failed patches, couldn't start= 280\n",
      "current avg and SD of usage are 1.00129 0.04592\n",
      "starting to reduce usage for unit 3106 with usage 1.06324 . Total units tried = 45\n",
      "try to drop unit 3106 from 36 th HD.  usage down to 1.0602991767072514\n",
      "try to drop unit 3106 from 72 th HD.  usage down to 1.0602991767072514\n",
      "try to drop unit 3106 from 108 th HD.  usage down to 1.0593686247017677\n",
      "try to drop unit 3106 from 144 th HD.  usage down to 1.0574401446576165\n",
      "try to drop unit 3106 from 180 th HD.  usage down to 1.0537395478161373\n",
      "all done trying to reduce usage of unit 3106 final usage = 1.05374 1788 sec elapsed 6 8 successful, failed patches, couldn't start= 170\n",
      "current avg and SD of usage are 1.00129 0.04579\n",
      "starting to reduce usage for unit 1180 with usage 1.05976 . Total units tried = 46\n",
      "try to drop unit 1180 from 51 th HD.  usage down to 1.0235080488511004\n",
      "all done trying to reduce usage of unit 1180 final usage = 1.01907 1829 sec elapsed 28 20 successful, failed patches, couldn't start= 16\n",
      "current avg and SD of usage are 1.00129 0.04554\n",
      "starting to reduce usage for unit 2681 with usage 1.0599 . Total units tried = 47\n",
      "try to drop unit 2681 from 28 th HD.  usage down to 1.0273268715621275\n",
      "all done trying to reduce usage of unit 2681 final usage = 1.01939 1896 sec elapsed 22 4 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.00129 0.04531\n",
      "starting to reduce usage for unit 6547 with usage 1.05966 . Total units tried = 48\n",
      "all done trying to reduce usage of unit 6547 final usage = 1.01872 1911 sec elapsed 22 2 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00129 0.04496\n",
      "starting to reduce usage for unit 626 with usage 1.05961 . Total units tried = 49\n",
      "all done trying to reduce usage of unit 626 final usage = 1.01999 1926 sec elapsed 22 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00129 0.04468\n",
      "starting to reduce usage for unit 1849 with usage 1.05974 . Total units tried = 50\n",
      "try to drop unit 1849 from 20 th HD.  usage down to 1.0597449134908692\n",
      "try to drop unit 1849 from 40 th HD.  usage down to 1.0579168618735393\n",
      "try to drop unit 1849 from 60 th HD.  usage down to 1.0501152257292046\n",
      "try to drop unit 1849 from 80 th HD.  usage down to 1.0444963188108471\n",
      "try to drop unit 1849 from 100 th HD.  usage down to 1.0295121432799237\n",
      "all done trying to reduce usage of unit 1849 final usage = 1.02621 1948 sec elapsed 21 11 successful, failed patches, couldn't start= 69\n",
      "current avg and SD of usage are 1.00129 0.0444\n",
      "starting to reduce usage for unit 5591 with usage 1.05863 . Total units tried = 51\n",
      "try to drop unit 5591 from 30 th HD.  usage down to 1.0348717160328165\n",
      "try to drop unit 5591 from 60 th HD.  usage down to 1.0226664840592532\n",
      "all done trying to reduce usage of unit 5591 final usage = 1.0195 1963 sec elapsed 28 0 successful, failed patches, couldn't start= 38\n",
      "current avg and SD of usage are 1.00129 0.04411\n",
      "starting to reduce usage for unit 2931 with usage 1.0583 . Total units tried = 52\n",
      "try to drop unit 2931 from 48 th HD.  usage down to 1.0539645583420525\n",
      "try to drop unit 2931 from 96 th HD.  usage down to 1.0523882134147304\n",
      "try to drop unit 2931 from 144 th HD.  usage down to 1.0480329249300488\n",
      "try to drop unit 2931 from 192 th HD.  usage down to 1.0436878064126403\n",
      "try to drop unit 2931 from 240 th HD.  usage down to 1.0436878064126403\n",
      "all done trying to reduce usage of unit 2931 final usage = 1.04369 1991 sec elapsed 7 2 successful, failed patches, couldn't start= 235\n",
      "current avg and SD of usage are 1.00129 0.044\n",
      "starting to reduce usage for unit 1046 with usage 1.05736 . Total units tried = 53\n",
      "try to drop unit 1046 from 29 th HD.  usage down to 1.0421864649939552\n",
      "try to drop unit 1046 from 58 th HD.  usage down to 1.0225762255997053\n",
      "all done trying to reduce usage of unit 1046 final usage = 1.01857 2015 sec elapsed 25 9 successful, failed patches, couldn't start= 27\n",
      "current avg and SD of usage are 1.00129 0.04377\n",
      "starting to reduce usage for unit 630 with usage 1.05657 . Total units tried = 54\n",
      "all done trying to reduce usage of unit 630 final usage = 1.01895 2028 sec elapsed 22 3 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00128 0.04352\n",
      "starting to reduce usage for unit 6561 with usage 1.05641 . Total units tried = 55\n",
      "try to drop unit 6561 from 37 th HD.  usage down to 1.0514347789828822\n",
      "try to drop unit 6561 from 74 th HD.  usage down to 1.0447607379599462\n",
      "try to drop unit 6561 from 111 th HD.  usage down to 1.0410970072498316\n",
      "try to drop unit 6561 from 148 th HD.  usage down to 1.033046206907307\n",
      "try to drop unit 6561 from 185 th HD.  usage down to 1.0282523385839752\n",
      "all done trying to reduce usage of unit 6561 final usage = 1.02669 2041 sec elapsed 17 0 successful, failed patches, couldn't start= 171\n",
      "current avg and SD of usage are 1.00128 0.04316\n",
      "starting to reduce usage for unit 3110 with usage 1.056 . Total units tried = 56\n",
      "try to drop unit 3110 from 34 th HD.  usage down to 1.0428856502439785\n",
      "all done trying to reduce usage of unit 3110 final usage = 1.01825 2066 sec elapsed 25 31 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00128 0.04299\n",
      "starting to reduce usage for unit 1104 with usage 1.05603 . Total units tried = 57\n",
      "try to drop unit 1104 from 45 th HD.  usage down to 1.027451453661223\n",
      "all done trying to reduce usage of unit 1104 final usage = 1.01987 2106 sec elapsed 26 28 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00127 0.04271\n",
      "starting to reduce usage for unit 3365 with usage 1.05403 . Total units tried = 58\n",
      "all done trying to reduce usage of unit 3365 final usage = 1.01868 2114 sec elapsed 19 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00127 0.04248\n",
      "starting to reduce usage for unit 1883 with usage 1.05398 . Total units tried = 59\n",
      "try to drop unit 1883 from 45 th HD.  usage down to 1.0341026122577948\n",
      "all done trying to reduce usage of unit 1883 final usage = 1.01966 2184 sec elapsed 20 0 successful, failed patches, couldn't start= 42\n",
      "current avg and SD of usage are 1.00127 0.04227\n",
      "starting to reduce usage for unit 5293 with usage 1.05348 . Total units tried = 60\n",
      "all done trying to reduce usage of unit 5293 final usage = 1.01964 2212 sec elapsed 21 1 successful, failed patches, couldn't start= 31\n",
      "current avg and SD of usage are 1.00127 0.04209\n",
      "starting to reduce usage for unit 4699 with usage 1.05352 . Total units tried = 61\n",
      "try to drop unit 4699 from 20 th HD.  usage down to 1.027342126513036\n",
      "all done trying to reduce usage of unit 4699 final usage = 1.01903 2245 sec elapsed 20 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00127 0.04185\n",
      "starting to reduce usage for unit 3619 with usage 1.05272 . Total units tried = 62\n",
      "try to drop unit 3619 from 16 th HD.  usage down to 1.0326635618886586\n",
      "all done trying to reduce usage of unit 3619 final usage = 1.01731 2256 sec elapsed 20 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00127 0.0415\n",
      "starting to reduce usage for unit 4260 with usage 1.05179 . Total units tried = 63\n",
      "try to drop unit 4260 from 46 th HD.  usage down to 1.0517856428538\n",
      "try to drop unit 4260 from 92 th HD.  usage down to 1.0477201984364002\n",
      "try to drop unit 4260 from 138 th HD.  usage down to 1.0463675927890852\n",
      "try to drop unit 4260 from 184 th HD.  usage down to 1.03444330616144\n",
      "all done trying to reduce usage of unit 4260 final usage = 1.0186 2278 sec elapsed 20 0 successful, failed patches, couldn't start= 204\n",
      "current avg and SD of usage are 1.00127 0.04125\n",
      "starting to reduce usage for unit 2206 with usage 1.05154 . Total units tried = 64\n",
      "try to drop unit 2206 from 22 th HD.  usage down to 1.0413182040380191\n",
      "all done trying to reduce usage of unit 2206 final usage = 1.01905 2379 sec elapsed 20 4 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00126 0.0411\n",
      "starting to reduce usage for unit 6080 with usage 1.05126 . Total units tried = 65\n",
      "all done trying to reduce usage of unit 6080 final usage = 1.01967 2411 sec elapsed 17 6 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00126 0.04088\n",
      "starting to reduce usage for unit 1427 with usage 1.05139 . Total units tried = 66\n",
      "try to drop unit 1427 from 37 th HD.  usage down to 1.0243508848888532\n",
      "all done trying to reduce usage of unit 1427 final usage = 1.01897 2427 sec elapsed 21 9 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00126 0.04069\n",
      "starting to reduce usage for unit 6236 with usage 1.05049 . Total units tried = 67\n",
      "try to drop unit 6236 from 52 th HD.  usage down to 1.0473502658768445\n",
      "try to drop unit 6236 from 104 th HD.  usage down to 1.0473502658768445\n",
      "try to drop unit 6236 from 156 th HD.  usage down to 1.0473502658768445\n",
      "try to drop unit 6236 from 208 th HD.  usage down to 1.0473502658768445\n",
      "try to drop unit 6236 from 260 th HD.  usage down to 1.0473502658768445\n",
      "all done trying to reduce usage of unit 6236 final usage = 1.04735 2448 sec elapsed 2 0 successful, failed patches, couldn't start= 262\n",
      "current avg and SD of usage are 1.00126 0.04066\n",
      "starting to reduce usage for unit 4302 with usage 1.05078 . Total units tried = 68\n",
      "try to drop unit 4302 from 23 th HD.  usage down to 1.0320088702454557\n",
      "all done trying to reduce usage of unit 4302 final usage = 1.01914 2473 sec elapsed 18 1 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00126 0.04039\n",
      "starting to reduce usage for unit 6572 with usage 1.04998 . Total units tried = 69\n",
      "try to drop unit 6572 from 22 th HD.  usage down to 1.0305113425645014\n",
      "all done trying to reduce usage of unit 6572 final usage = 1.01882 2486 sec elapsed 21 0 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00126 0.04019\n",
      "starting to reduce usage for unit 174 with usage 1.04959 . Total units tried = 70\n",
      "try to drop unit 174 from 44 th HD.  usage down to 1.0300180991517556\n",
      "all done trying to reduce usage of unit 174 final usage = 1.01914 2502 sec elapsed 21 2 successful, failed patches, couldn't start= 42\n",
      "current avg and SD of usage are 1.00126 0.03992\n"
     ]
    }
   ],
   "source": [
    "#SECOND PATCHING BLOCK -- OVERUSERS.  #using 5/24/24 new avoidedIsland method after initial OUUc cluster\n",
    "#updated to exclude VRA cores\n",
    "maxSD = 0.04 #0.06  #0.08  #0.04\n",
    "print(maxSD,\" is default maxSD.  Enter updated value\")\n",
    "maxSD = float(input(\"e.g. 0.04 \"))\n",
    "stopMaxUse = 1.02  #1.+  2.* maxSD  #0.5*maxSD  #don't be too aggressive; may create long chains\n",
    "print(\"default use threshold for moving on to next overused unit is\",r5(stopMaxUse) )\n",
    "stopMaxUse = float(input(\"enter updated stopMaxUse value\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage above\",stopMaxUse)\n",
    "nBigUsers = 5\n",
    "maxExchangePop = 0.05*aDP\n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP \n",
    "print(\"this block reduces overuse, with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        maxNtries +=1\n",
    "#maxNtries = int(currSD * nUnits / nDistricts)   #try up to about 10% of the districts a unit is drawn into\n",
    "#maxNtries = 10 #overrirde\n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "attemptedBigUs = list()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to reduce up to\",maxNtries,\"units' overusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedBigUs) < maxNtries: \n",
    "    #each round, find the (5) most overused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nBigFound, bigUsers = 0,0,list()\n",
    "    while nBigFound < nBigUsers:\n",
    "        consideredBigU = idx[-idxNo-1]\n",
    "        if consideredBigU not in attemptedBigUs + coreUs:\n",
    "            bigUsers.append(consideredBigU)\n",
    "            nBigFound +=1\n",
    "        idxNo +=1\n",
    "    OUUclusters = [ [b] + unitNbrs[b] for b in bigUsers ]\n",
    "    bigOverUse = [np.sum([(unitUse[j] - 1.) for j in OUUclusters[i] ]) for i in range(nBigUsers) ]\n",
    "    bigI = bigOverUse.index(np.max(bigOverUse))\n",
    "    OUU = bigUsers[ bigI ]  #pick the unit that centers cluster with most overuse\n",
    "    attemptedBigUs.append(OUU)  #so we don't try this unit again in a future loop\n",
    "    OUUc = OUUclusters[bigI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    print(\"starting to reduce usage for unit\",OUU,\"with usage\",r5(unitUse[OUU]),\". Total units tried =\",len(attemptedBigUs) )\n",
    "    for u in OUUc.copy():\n",
    "        if unitUse[u] < 1. or u in coreUs:\n",
    "            OUUc.remove(u)  #...drop any underused neighbors of the primary OUU from the target sheddable cluster\n",
    "    OUU2nbrSet = set( unitNbrs[OUU])\n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.union(set(unitNbrs[u])) \n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.difference({u})\n",
    "    ouuHDs, ouuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if OUU in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(OUU2nbrSet) ) > 0: #the OUU or one of its overused 1-neighbors adjoins the complement\n",
    "                ouuHDs.append(t)  #so we can shed the OUUc to the complement\n",
    "                ouuDists.append( unitCP[OUU].distance(hdCP[t]) / avgDist[t] )\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo, idx0 = 0, 0, 0, 0, np.argsort(ouuDists) #work from farthest HD in\n",
    "    while unitUse[OUU] > stopMaxUse and idxNo > -0.5*len(ouuHDs): #arbitrarily only examine 50% of HDs, biasing farthest ones\n",
    "        idxNo -=1\n",
    "        if idxNo % int(0.1*len(ouuHDs)) == 0:\n",
    "            print(\"try to drop unit\",OUU,\"from\",abs(idxNo),\"th HD.  usage down to\",unitUse[OUU] )\n",
    "        t = ouuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).difference(set(OUUc))\n",
    "        #contig = avoidedIsland(HDunitList[t], unitNbrs, list( set(OUUc).intersection(set(HDunitList[t])) ) )\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        #if not contig:\n",
    "        if not (contig and complementContig):  #dropping the cluster creates a problem (likely an HD discontig).  Try something simpler ...\n",
    "            if len(set(unitNbrs[OUU]).intersection(HDadjoinSet) )  > 0:  #Yay! The OUU itself on border.  Try dropping just it, not the full cluster\n",
    "                HDouuSet = {OUU}\n",
    "                #trySet = set(HDunitList[t]).difference( {OUU} )\n",
    "                contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "                #contig = avoidedIsland(HDunitList[t], unitNbrs, [OUU])\n",
    "        else:\n",
    "            HDouuSet = set(HDunitList[t]).intersection(set(OUUc))\n",
    "        if contig and complementContig:  #if contig  #we can at least drop the cluster, let's go for more\n",
    "            #HDouuSet = set(HDunitList[t]).intersection(set(OUUc))  #the subset of the OUU cluster that's in this HD.  Defined above\n",
    "            HDouuCpop = np.sum([unitPop[u] for u in HDouuSet])\n",
    "            giveUpOnShedding = False            \n",
    "            shedCandidates, shedScores = list(), list()\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if HDouuCpop + unitPop[u] <= maxExchangePop and u not in coreUs:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward far, overused\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            while HDouuCpop < maxExchangePop and not giveUpOnShedding:\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                    #contig = avoidedIsland(list(trySet), unitNbrs, [shedU])  #avoidedI is buggy\n",
    "                    if contig and cContig:  #if contig\n",
    "                        notYetPicked = False\n",
    "                        HDouuCpop += unitPop[shedU]\n",
    "                        #print(\"shedding unit\",shedU,\"from HD\",t,\"total shed Pop now\", HDouuCpop)\n",
    "                        HDouuSet.add(shedU)\n",
    "                        trySet.remove(shedU)\n",
    "                        del shedScores[shedCandidates.index(shedU)]\n",
    "                        del shedCandidates[shedCandidates.index(shedU)]\n",
    "                        newSheddables = ( set(unitNbrs[shedU]).intersection(trySet) ).difference(coreUset)\n",
    "                        for u in newSheddables:\n",
    "                            if HDouuCpop + unitPop[u] <= maxExchangePop and u not in shedCandidates:\n",
    "                                shedCandidates.append(u)\n",
    "                                shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            shedSet = HDouuSet.copy()  #set(OUUc).intersection(set(HDunitList[t]))\n",
    "            trySet = set(HDunitList[t]).difference(shedSet) \n",
    "            gap = aDP - np.sum([unitPop[u] for u in trySet])\n",
    "            nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "            for u in trySet:\n",
    "                for uu in unitNbrs[u]:\n",
    "                    if uu not in HDunitList[t]+coreUs and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:\n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append(5.*(unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                        #bias toward UNDERUSED, close\n",
    "            addedSet = set( )    \n",
    "            stillGoing = True \n",
    "            while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "                nearHDscore2 = nearHDscore.copy()\n",
    "                for ij, uu in enumerate(nearHDlist):\n",
    "                    nHDnbrs = len( set(unitNbrs[uu]).intersection(trySet) )\n",
    "                    if nHDnbrs == 1 :  #BIAS AGAINST CREATING A SLIM CHAIN\n",
    "                        nearHDscore2[ij] *= 0.5   #make this score closer to zero (less negative)  #NEW FOR GA 3/11/24\n",
    "                idx, ij, notYetPicked = np.argsort(nearHDscore2), 0, True   #originally, used nearHDscore itself here\n",
    "                while ij < len(nearHDscore) and notYetPicked:        \n",
    "                    listNo = idx[ij]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                    unitNoToAdd = nearHDlist[listNo]  #add this unit ...  \n",
    "                    #canAdd  = wontEnclave(unitNoToAdd, list(trySet), unitNbrs, borderUnits)\n",
    "                    canAdd = avoidedEnclave(list(trySet), unitNbrs, [unitNoToAdd])\n",
    "                    if canAdd:\n",
    "                        notYetPicked = False\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    stillGoing = False  #can't add any more units; we can't without creating an enclave\n",
    "                else:\n",
    "                    gap -= unitPop[unitNoToAdd]\n",
    "                    addedSet.add(unitNoToAdd)\n",
    "                    trySet.add( unitNoToAdd)\n",
    "                    for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                        if uu not in trySet and uu not in nearHDlist+coreUs and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:  \n",
    "                            nearHDlist.append(uu)\n",
    "                            nearHDscore.append(5.* (unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] ) \n",
    "                            #bias toward UNDERUSED, ~close\n",
    "                    del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                    del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                    for ijj, uu in enumerate(nearHDlist.copy()):\n",
    "                        if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                            del nearHDscore[nearHDlist.index(uu)]\n",
    "                            del nearHDlist[ nearHDlist.index(uu)]\n",
    "            currPop = np.sum([unitPop[u] for u in trySet])\n",
    "            if abs(currPop - aDP) <= 2.* maxGap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addedSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t]    = currPop\n",
    "                nPatchSuccess +=1\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "        else:\n",
    "            nCouldntStart +=1\n",
    "            #print(\"Due to discontiguity, can't drop OUU cluster for HD, OUU\", t, OUU)\n",
    "    print(\"all done trying to reduce usage of unit\",OUU,\"final usage =\",r5(unitUse[OUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "f481e23f-6d2c-4592-923a-0af5b8e8caaf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00129 1.00126 and their SDs are 0.11987 0.03992\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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ligC4gQADwCqRatTNqd/cnuSJHcNVLwIMEI64GzUAALAOAQYAAFiHAAMAAKxDgAEAANYhwAAAAOsQYAAAgHU4jRqAVYImSpd89qAzDSA8EWAAWKVJEVqz/yS3ywDgMnYhAQAA67AFBoBVojz1ujb5dUnSnK8u4VYCQJgiwACwSqQa9Z+d50iSnvkqj1sJAGGKXUgAAMA6BBgAAGAdAgwAALAOAQYAAFiHAAMAAKxDgAEAANbhNGoAVgmaKI3YdK8zDSA8EWAAWKVJEVq57xS3ywDgMnYhAQAA67AFBoBVItWgkUmLJEnP7xqqBv6MAWGJ33wAVonyNOie4x6XJL1UlaMGw58xIByxCwkAAFiHAAMAAKxDgAEAANYhwAAAAOsQYAAAgHUIMAAAwDqcfwjAKnUmStduvsuZBhCeCDAArNKoCL295wy3ywDgMnYhAQAA67AFBoBVItWgyzoukyS9uvtcbiUAhCl+8wFYJcrToPsz/ixJWlg9mFsJAGGKXUgAAMA6BBgAAGAdAgwAALAOAQYAAFiHAAMAAKxDgAEAANbh/EMAVqkzUfrt/050pgGEJwIMAKs0KkJv1Ax2uwwALmMXEgAAsA5bYABYJUKNyo0vkiS9WZOtRkW4XBEANxBgAFgl2lOvx7pOkyT1WfuS9hsCDBCO2IUEAACsQ4ABAADWIcAAAADrEGAAAIB1CDAAAMA6BBgAAGAdTqMGYJV6E6nbvrjZmQYQnvjtB2CVBkXqpd05bpcBwGXsQgIAANZhCwwAq0SoUed0+EiStHzP6dxKAAhTBBgAVon21GtO9z9K4lYCQDhjFxIAALAOAQYAAFiHAAMAAKxDgAEAANYhwAAAAOsQYAAAgHU4jRqAVepNpP7w5U3ONIDwdNRbYJYvX66LL75Y6enp8ng8evXVV0PmG2M0efJkde7cWbGxscrJydFnn30WMqaqqkqjRo2S3+9XQkKCxo4dq71794aMWbNmjc4++2zFxMQoIyND06dPP/ruALQ5DYrUM7su0jO7LlID/wYDwtZRB5h9+/ZpwIABmjlz5iHnT58+XY888ogef/xxrVq1Su3atVNubq5qa2udMaNGjVJpaakKCwu1YMECLV++XDfccIMzPxAIaMiQIeratauKi4t13333acqUKfrLX/5yDC0CAIC2xmOMMcf8Zo9Hr7zyii677DJJ32x9SU9P16233qrbbrtNklRTU6PU1FTNnTtXI0aM0IYNG9S3b1998MEHGjhwoCRp0aJFuvDCC7V161alp6dr1qxZuuOOO1RRUaHo6GhJ0sSJE/Xqq69q48aNR1RbIBBQfHy8ampq5Pf7j7VF4Kh1m7jQ7RLaNK8adWa7UknS6n391MStBFrUlml5bpeAMHOk39/NehDv5s2bVVFRoZycb+8UGx8fr6ysLBUVFUmSioqKlJCQ4IQXScrJyZHX69WqVaucMeecc44TXiQpNzdXZWVl2r179yE/OxgMKhAIhDwAtD0+T73mnfCfmnfCf8rnqXe7HAAuadYAU1FRIUlKTU0NeT01NdWZV1FRoZSUlJD5kZGRSkxMDBlzqGV89zO+b+rUqYqPj3ceGRkZP70hAADQKrWZ06gnTZqkmpoa5/HFF1+4XRIAAGghzRpg0tLSJEmVlZUhr1dWVjrz0tLStGPHjpD5DQ0NqqqqChlzqGV89zO+z+fzye/3hzwAAEDb1KwBpnv37kpLS9OSJUuc1wKBgFatWqXs7GxJUnZ2tqqrq1VcXOyMWbp0qZqampSVleWMWb58uerrv92/XVhYqF69eqljx47NWTIAALDQUQeYvXv3qqSkRCUlJZK+OXC3pKRE5eXl8ng8uvnmm/WnP/1Jr7/+utauXasxY8YoPT3dOVOpT58+Gjp0qK6//nqtXr1aK1as0Lhx4zRixAilp6dLkq666ipFR0dr7NixKi0t1fz58/Xwww+roKCg2RoHAAD2OuqrQH344Yc677zznOcHQsXVV1+tuXPn6vbbb9e+fft0ww03qLq6WoMHD9aiRYsUExPjvOfZZ5/VuHHjdP7558vr9Wr48OF65JFHnPnx8fF66623lJ+fr8zMTCUnJ2vy5Mkh14oBAADh6yddB6Y14zowcAvXgWlZUZ56XZv8uiRpzleXqN5EuVxR28Z1YPBzO9Lvb67DDcAq9SZKf9k53O0yALiszZxGDQAAwgdbYABYxatGnRy7SZK0bv8J3EoACFMEGABW8Xnq9fqJ35w80GftS9pvCDBAOGIXEgAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA6xBgAACAdTiNGoBVGhShP1eOdKYBhCcCDACr1Jso/blylNtlAHAZu5AAAIB12AIDwCoeNamn7wtJ0ufBDBn+HQaEJQIMAKvEeOpU2Ctf0oFbCcS4XBEAN/BPFwAAYB0CDAAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA63AaNQCrNChCT+y83JkGEJ4IMACsUm+iNHX7dW6XAcBl7EICAADWYQsMAKt41KTjonZKkr6s78StBIAwRYABYJUYT53e6zNWErcSAMIZ/3QBAADWIcAAAADrEGAAAIB1CDAAAMA6BBgAAGAdAgwAALAOp1EDsEqjIvT0V3nONIDwRIABYJU6E6XJ237jdhkAXMYuJAAAYB22wACwjFFiRECSVNXol+RxtxwAriDAALBKrCeoj/qNksStBIBwxi4kAABgHQIMAACwDgEGAABYhwADAACsQ4ABAADWIcAAAADrcBo1AKs0KkIvVZ3vTAMITwQYAFapM1G6bestbpcBwGXsQgIAANZhCwwAyxjFeoKSpP3GJ24lAIQntsAAsEqsJ6gN/a/Qhv5XOEEGQPghwAAAAOsQYAAAgHUIMAAAwDoEGAAAYB0CDAAAsA4BBgAAWIfrwACwSpO8Wlj9b840gPBEgAFglaCJVn75JLfLAOAy/vkCAACsQ4ABAADWIcAAsEqsp1ZbTrlIW065SLGeWrfLAeASAgwAALAOAQYAAFiHAAMAAKxDgAEAANYhwAAAAOs0e4CZMmWKPB5PyKN3797O/NraWuXn5yspKUnt27fX8OHDVVlZGbKM8vJy5eXlKS4uTikpKRo/frwaGhqau1QAAGCpFrkSb79+/bR48eJvPyTy24+55ZZbtHDhQr344ouKj4/XuHHjdPnll2vFihWSpMbGRuXl5SktLU3vv/++tm/frjFjxigqKkr33ntvS5QLwCJN8mppYKAzDSA8tUiAiYyMVFpa2kGv19TU6Mknn9Rzzz2nX/ziF5KkOXPmqE+fPlq5cqUGDRqkt956S+vXr9fixYuVmpqqU089Vffcc48mTJigKVOmKDo6uiVKBmCJoInWdVumuF0GAJe1yD9fPvvsM6Wnp6tHjx4aNWqUysvLJUnFxcWqr69XTk6OM7Z3797q0qWLioqKJElFRUXq37+/UlNTnTG5ubkKBAIqLS097GcGg0EFAoGQBwAAaJuaPcBkZWVp7ty5WrRokWbNmqXNmzfr7LPP1p49e1RRUaHo6GglJCSEvCc1NVUVFRWSpIqKipDwcmD+gXmHM3XqVMXHxzuPjIyM5m0MAAC0Gs2+C2nYsGHO9CmnnKKsrCx17dpVL7zwgmJjY5v74xyTJk1SQUGB8zwQCBBigDYo1lOr4n6jJEmZpc9qv4lxuSIAbmjxI+ASEhJ00kkn6fPPP1daWprq6upUXV0dMqaystI5ZiYtLe2gs5IOPD/UcTUH+Hw++f3+kAeAtinOG1ScN+h2GQBc1OIBZu/evdq0aZM6d+6szMxMRUVFacmSJc78srIylZeXKzs7W5KUnZ2ttWvXaseOHc6YwsJC+f1+9e3bt6XLBQAAFmj2XUi33XabLr74YnXt2lXbtm3TXXfdpYiICI0cOVLx8fEaO3asCgoKlJiYKL/fr9/97nfKzs7WoEGDJElDhgxR3759NXr0aE2fPl0VFRW68847lZ+fL5/P19zlAgAACzV7gNm6datGjhypXbt2qVOnTho8eLBWrlypTp06SZIeeugheb1eDR8+XMFgULm5uXrsscec90dERGjBggX6zW9+o+zsbLVr105XX3217r777uYuFQAAWMpjjDFuF9ESAoGA4uPjVVNTw/Ew+Fl1m7jQ7RLatFhPrTb0v0KS1GftSxzE28K2TMtzuwSEmSP9/uYylgAAwDotciVeAGgpTfJo5d6TnWkA4YkAA8AqQePTiH9Nc7sMAC5jFxIAALAOAQYAAFiHAAPAKrGeWhX3vUrFfa9SrKfW7XIAuIRjYABYJymSu80D4Y4tMAAAwDoEGAAAYB0CDAAAsA4BBgAAWIcAAwAArMNZSACs0iSPPvn6RGcaQHgiwACwStD4dOnnD7ldBgCXsQsJAABYhwADAACsQ4ABYJUYT63e632d3ut9nWK4lQAQtjgGBoBVPJKOj97hTAMIT2yBAQAA1iHAAAAA6xBgAACAdQgwAADAOgQYAABgHc5CAmAVI+nT2i7ONIDwRIABYJVaE6Mhnz7mdhkAXMYuJAAAYB0CDAAAsA4BBoBVYjy1euuk3+qtk37LrQSAMMYxMACs4pF0Uky5Mw0gPLEFBgAAWIcAAwAArEOAAQAA1iHAAAAA6xBgAACAdTgLCYBVjKStdSnONIDwRIBBq9Zt4kK3S0ArU2tiNHjjbLfLAOAyAgwAoE2x8R8+W6bluV2CdQgwAIDDsjEMIDwQYMIEf4TQVvg8Qb1wwkRJ0pWbpilofC5XBMANBBgAVvHKaEDcZ840gPBEgDkGbM0AAMBdXAcGAABYhy0wAAC4zMYt+26fOcUWGAAAYB0CDAAAsA67kABYZ1eD3+0SALiMAAPAKvtNjDLXP+d2GQBcxi4kAABgHQIMAACwDgEGgFV8nqDm9ZioeT0myucJul0OAJdwDAwAq3hlNKj9OmcaQHhiCwwAALAOAQYAAFiHAAMAAKxDgAEAANYhwAAAAOtwFhIA63zd5HO7BAAuI8AAsMp+E6O+6/7udhkAXMYuJAAAYB0CDAAAsA4BBoBVfJ46ze42RbO7TZHPU+d2OQBcwjEwAKziVZN+4f/QmQYQntgCAwAArEOAAQAA1mnVAWbmzJnq1q2bYmJilJWVpdWrV7tdEgAAaAVabYCZP3++CgoKdNddd+mjjz7SgAEDlJubqx07drhdGgAAcFmrDTAPPvigrr/+el177bXq27evHn/8ccXFxWn27NlulwYAAFzWKs9CqqurU3FxsSZNmuS85vV6lZOTo6KiokO+JxgMKhgMOs9ramokSYFAoNnrawp+3ezLBHBkGj21Cvzfr2Bj8Gs1Gc5EAtzQEt+v312uMeYHx7XKAPPVV1+psbFRqampIa+npqZq48aNh3zP1KlT9cc//vGg1zMyMlqkRgDuiXemxrhYBRDe4v/cssvfs2eP4uPjDzu/VQaYYzFp0iQVFBQ4z5uamlRVVaWkpCR5PB4XKzu0QCCgjIwMffHFF/L7/W6X0yLose0Ihz7pse0Ihz7bco/GGO3Zs0fp6ek/OK5VBpjk5GRFRESosrIy5PXKykqlpaUd8j0+n08+X+gdahMSElqqxGbj9/vb3A/f99Fj2xEOfdJj2xEOfbbVHn9oy8sBrfIg3ujoaGVmZmrJkiXOa01NTVqyZImys7NdrAwAALQGrXILjCQVFBTo6quv1sCBA3XmmWfqz3/+s/bt26drr73W7dIAAIDLWm2A+dWvfqWdO3dq8uTJqqio0KmnnqpFixYddGCvrXw+n+66666Ddnu1JfTYdoRDn/TYdoRDn+HQ44/xmB87TwkAAKCVaZXHwAAAAPwQAgwAALAOAQYAAFiHAAMAAKxDgDmEbt26yePxHPTIz8+XJFVUVGj06NFKS0tTu3btdPrpp+vvf/97yDIuueQSdenSRTExMercubNGjx6tbdu2hYxZs2aNzj77bMXExCgjI0PTp08/qJYXX3xRvXv3VkxMjPr376833ngjZL4xRpMnT1bnzp0VGxurnJwcffbZZz9bnwcEg0Gdeuqp8ng8KikpaTV9NkePh1rGtGnT2lSPkrRw4UJlZWUpNjZWHTt21GWXXRYyv7y8XHl5eYqLi1NKSorGjx+vhoaGkDHLli3T6aefLp/Pp549e2ru3LkHfc7MmTPVrVs3xcTEKCsrS6tXr/7RHpujz2XLlh3y/R6PRx988IEzzvZ1+emnn+rSSy9VcnKy/H6/Bg8erLfffjtkjJvrsjl6/Oijj3TBBRcoISFBSUlJuuGGG7R3795W0+OR9Llp0yb98pe/VKdOneT3+3XllVcedPHWqqoqjRo1Sn6/XwkJCRo7duxBfbr9PeIqg4Ps2LHDbN++3XkUFhYaSebtt982xhhzwQUXmDPOOMOsWrXKbNq0ydxzzz3G6/Wajz76yFnGgw8+aIqKisyWLVvMihUrTHZ2tsnOznbm19TUmNTUVDNq1Cizbt068/zzz5vY2FjzxBNPOGNWrFhhIiIizPTp08369evNnXfeaaKioszatWudMdOmTTPx8fHm1VdfNZ988om55JJLTPfu3c3+/ft/lj4P+P3vf2+GDRtmJJmPP/641fTZHD127drV3H333SHL2bt3b5vq8aWXXjIdO3Y0s2bNMmVlZaa0tNTMnz/fmd/Q0GBOPvlkk5OTYz7++GPzxhtvmOTkZDNp0iRnzL/+9S8TFxdnCgoKzPr1682MGTNMRESEWbRokTNm3rx5Jjo62syePduUlpaa66+/3iQkJJjKysof7LE5+gwGgyHv3759u/n1r39tunfvbpqamtrMujzxxBPNhRdeaD755BPz6aefmt/+9rcmLi7ObN++vVWsy5/a45dffmk6duxobrrpJrNx40azevVqc9ZZZ5nhw4c7n+F2jz/W5969e02PHj3ML3/5S7NmzRqzZs0ac+mll5ozzjjDNDY2OssYOnSoGTBggFm5cqV59913Tc+ePc3IkSOd+W7/vLqNAHME/uM//sOccMIJzh+5du3amaeffjpkTGJiovmf//mfwy7jtddeMx6Px9TV1RljjHnsscdMx44dTTAYdMZMmDDB9OrVy3l+5ZVXmry8vJDlZGVlmRtvvNEYY0xTU5NJS0sz9913nzO/urra+Hw+8/zzz/9sfb7xxhumd+/eprS09KAA09r6PJYeu3btah566KHDLtP2Huvr681xxx1n/vrXvx52mW+88Ybxer2moqLCeW3WrFnG7/c7fd9+++2mX79+Ie/71a9+ZXJzc53nZ555psnPz3eeNzY2mvT0dDN16tSj6vFY+vy+uro606lTJ3P33Xc7r9m+Lnfu3GkkmeXLlzvzA4GAkWQKCwuNMa1vXR5tj0888YRJSUkJ+aJfs2aNkWQ+++yzVtnj9/t88803jdfrNTU1Nc786upq4/F4nPW0fv16I8l88MEHzph//vOfxuPxmC+//NIY0/p+Xn9u7EL6EXV1dfrb3/6m6667zrkp5FlnnaX58+erqqpKTU1Nmjdvnmpra3XuuecechlVVVV69tlnddZZZykqKkqSVFRUpHPOOUfR0dHOuNzcXJWVlWn37t3OmJycnJBl5ebmqqioSJK0efNmVVRUhIyJj49XVlaWM6al+6ysrNT111+vZ555RnFxcQcttzX1+VPW5bRp05SUlKTTTjtN9913X8imaNt7/Oijj/Tll1/K6/XqtNNOU+fOnTVs2DCtW7cupMf+/fuHXEgyNzdXgUBApaWlR9RjXV2diouLQ8Z4vV7l5OT8bD+v3/X6669r165dIVf3tn1dJiUlqVevXnr66ae1b98+NTQ06IknnlBKSooyMzOd+lvLujyWHoPBoKKjo+X1fvv1FRsbK0l67733Wl2Ph+ozGAzK4/GEXIQuJiZGXq83pIeEhAQNHDjQGZOTkyOv16tVq1Y5Y1rLz6sbCDA/4tVXX1V1dbWuueYa57UXXnhB9fX1SkpKks/n04033qhXXnlFPXv2DHnvhAkT1K5dOyUlJam8vFyvvfaaM6+iouKgqwofeF5RUfGDY747/7vvO9SYluzTGKNrrrlGN910U8gv2Xe1pj6PdV3+/ve/17x58/T222/rxhtv1L333qvbb7+9zfT4r3/9S5I0ZcoU3XnnnVqwYIE6duyoc889V1VVVT+5x0AgoP379+urr75SY2Ojaz+v3/fkk08qNzdXxx9/vPOa7evS4/Fo8eLF+vjjj9WhQwfFxMTowQcf1KJFi9SxY8ef3GNzr8tj6fEXv/iFKioqdN9996murk67d+/WxIkTJUnbt29vdT0eqs9BgwapXbt2mjBhgr7++mvt27dPt912mxobG0N6SElJCVlOZGSkEhMTf7SHI+mzJb5Hfm4EmB/x5JNPatiwYSG39f7DH/6g6upqLV68WB9++KEKCgp05ZVXau3atSHvHT9+vD7++GO99dZbioiI0JgxY2Ra6YWPj6XPGTNmaM+ePZo0aZJbZR+VY12XBQUFOvfcc3XKKafopptu0gMPPKAZM2YoGAy60cYPOpYem5qaJEl33HGHhg8frszMTM2ZM0cej0cvvviiK338mJ/yeylJW7du1ZtvvqmxY8f+nGUflWPp0Rij/Px8paSk6N1339Xq1at12WWX6eKLL3a+GFuTY+mxX79+euqpp/TAAw8oLi5OaWlp6t69u1JTU0O2yrQm3++zU6dOevHFF/WPf/xD7du3V3x8vKqrq3X66ae32h5ao1Z7L6TW4H//93+1ePFivfzyy85rmzZt0qOPPqp169apX79+kqQBAwbo3Xff1cyZM/X44487Y5OTk5WcnKyTTjpJffr0UUZGhlauXKns7GylpaUddMT5gedpaWnOfw815rvzD7zWuXPnkDGnnnpqi/e5dOlSFRUVHXQvjoEDB2rUqFF66qmnWk2fP3VdfldWVpYaGhq0ZcsW9erVy/oeD3xe3759nff5fD716NFD5eXlTn3fP/viSHv0+/2KjY1VRESEIiIifvD/Q0v2+V1z5sxRUlKSLrnkkpDXbV+XS5cu1YIFC7R79275/X5J0mOPPabCwkI99dRTmjhxYqtZlz9lPV511VW66qqrVFlZqXbt2snj8ejBBx9Ujx49nPpbQ4+H61OShgwZok2bNumrr75SZGSkEhISlJaWFtLDjh07Qt7T0NCgqqqqH+3hSPps7u8RNxD1fsCcOXOUkpKivLw857Wvv/5akg5KyREREc6/ZA/lwLwD/2rPzs7W8uXLVV9f74wpLCxUr169nE292dnZWrJkSchyCgsLlZ2dLUnq3r270tLSQsYEAgGtWrXKGdOSfT7yyCP65JNPVFJSopKSEufUvPnz5+u//uu/WlWfzbkuS0pK5PV6nc27tveYmZkpn8+nsrIyZ359fb22bNmirl27OvWvXbs25A9qYWGh/H6/E3x+rMfo6GhlZmaGjGlqatKSJUt+lp/XA4wxmjNnjsaMGeMck3aA7evycGO8Xq8zprWsy+b4nUxNTVX79u01f/58xcTE6IILLmhVPR6uz+9KTk5WQkKCli5dqh07djihOjs7W9XV1SouLnbGLl26VE1NTcrKynLGtIafV9e4ewxx69XY2Gi6dOliJkyYEPJ6XV2d6dmzpzn77LPNqlWrzOeff27uv/9+4/F4zMKFC40xxqxcudLMmDHDfPzxx2bLli1myZIl5qyzzjInnHCCqa2tNcZ8c5R3amqqGT16tFm3bp2ZN2+eiYuLO+j0t8jISHP//febDRs2mLvuuuuQp78lJCSY1157zTkV72hOf/spfX7f5s2bDzoLqTX0+VN6fP/9981DDz1kSkpKzKZNm8zf/vY306lTJzNmzJg206Mx35whcdxxx5k333zTbNy40YwdO9akpKSYqqoqY8y3p6UOGTLElJSUmEWLFplOnTod8rTU8ePHmw0bNpiZM2ce8rRUn89n5s6da9avX29uuOEGk5CQEHK2SEv2aYwxixcvNpLMhg0bDlq+7ety586dJikpyVx++eWmpKTElJWVmdtuu81ERUWZkpISY0zrWJc/dT3OmDHDFBcXm7KyMvPoo4+a2NhY8/DDDzvzW0OPP9SnMcbMnj3bFBUVmc8//9w888wzJjEx0RQUFISMGTp0qDnttNPMqlWrzHvvvWdOPPHEkNOoW8PPq5sIMIfx5ptvGkmmrKzsoHmffvqpufzyy01KSoqJi4szp5xySshpf2vWrDHnnXeeSUxMND6fz3Tr1s3cdNNNZuvWrSHL+eSTT8zgwYONz+czxx13nJk2bdpBn/XCCy+Yk046yURHR5t+/fod9Me4qanJ/OEPfzCpqanG5/OZ888//5A1t0Sf33eoANMa+vwpPRYXF5usrCwTHx9vYmJiTJ8+fcy9997rBNG20KMx33xx3HrrrSYlJcV06NDB5OTkmHXr1oWM2bJlixk2bJiJjY01ycnJ5tZbbzX19fUhY95++21z6qmnmujoaNOjRw8zZ86cg+qZMWOG6dKli4mOjjZnnnmmWbly5RH12Bx9GmPMyJEjzVlnnXXYz7B9XX7wwQdmyJAhJjEx0XTo0MEMGjTIvPHGGyFj3F6XP7XH0aNHm8TERBMdHX3Y9ex2jz/W54QJE0xqaqqJiooyJ554onnggQecU8kP2LVrlxk5cqRp37698fv95tprrzV79uwJGeP2z6ubPMa00qNKAQAADoNjYAAAgHUIMAAAwDoEGAAAYB0CDAAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA6xBgAACAdQgwAADAOgQYAABgHQIMAACwzv8HsDfxK3nnHNgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 8941\n",
      "working on HD 300 out of 8941\n",
      "working on HD 600 out of 8941\n",
      "working on HD 900 out of 8941\n",
      "working on HD 1200 out of 8941\n",
      "working on HD 1500 out of 8941\n",
      "working on HD 1800 out of 8941\n",
      "working on HD 2100 out of 8941\n",
      "working on HD 2400 out of 8941\n",
      "working on HD 2700 out of 8941\n",
      "working on HD 3000 out of 8941\n",
      "working on HD 3300 out of 8941\n",
      "working on HD 3600 out of 8941\n",
      "working on HD 3900 out of 8941\n",
      "working on HD 4200 out of 8941\n",
      "working on HD 4500 out of 8941\n",
      "working on HD 4800 out of 8941\n",
      "working on HD 5100 out of 8941\n",
      "working on HD 5400 out of 8941\n",
      "working on HD 5700 out of 8941\n",
      "working on HD 6000 out of 8941\n",
      "working on HD 6300 out of 8941\n",
      "working on HD 6600 out of 8941\n",
      "working on HD 6900 out of 8941\n",
      "working on HD 7200 out of 8941\n",
      "working on HD 7500 out of 8941\n",
      "working on HD 7800 out of 8941\n",
      "working on HD 8100 out of 8941\n",
      "working on HD 8400 out of 8941\n",
      "working on HD 8700 out of 8941\n",
      "all done checking HD and complement contiguity for all 8941 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "finalFailList = list()\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        finalFailList.append(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "55147d9f-37b3-483b-ab4c-2fbab1335fa4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "above: believed HDvPops.  Below from re-summing\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(HDvPop,weights=HDweight,bins=100)\n",
    "plt.xlim(0.8*aDP,1.2*aDP)\n",
    "plt.axvline(aDP)\n",
    "print(\"above: believed HDvPops.  Below from re-summing\")\n",
    "plt.show()\n",
    "plt.hist([np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs)],weights=HDweight,bins=100)\n",
    "plt.xlim(0.8*aDP,1.2*aDP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7bc4a237-897d-49c8-a79d-de8908588cfc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "d551a617-2f09-4cba-8b7c-433846f0549d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRA60_1p5Patched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "87683f8a-0082-466b-88a5-ebf23bdfb5fc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after above patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on full or partial VTD master list for unit 0\n",
      "working on full or partial VTD master list for unit 2000\n",
      "working on full or partial VTD master list for unit 4000\n",
      "working on full or partial VTD master list for unit 6000\n",
      "Now converting unit lists to vtd lists for all HDs\n",
      "1.0 8941 sum HDweight and nHDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"after above patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRApatchedVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)\n",
    "\n",
    "print(np.sum(HDweight), nHDs, \"sum HDweight and nHDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "cb60da52-ca13-45dd-8bf0-475213183a0d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "overused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "underused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"overused units\")\n",
    "maxPlot = 1.06\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > maxPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"underused units\")\n",
    "minPlot = 0.94\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "8d922813-2854-41d7-9405-22db5d5d5a59",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now append the cut districts and adjust the HDweights\n",
      "15 0 are the number of HD-drawn and cut districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Now append the cut districts and adjust the HDweights\")\n",
    "print(nDistricts,nCutDistricts,\"are the number of HD-drawn and cut districts\")\n",
    "HDweight = [nDistricts/float(nCutDistricts + nDistricts) * HDweight[t] for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "if type(hdCPx) != type(list()):\n",
    "    hdCPx, hdCPy = hdCPx.to_list(), hdCPy.to_list()\n",
    "for L in allCutLists:\n",
    "    tList.append(len(tList))\n",
    "    HDweight.append(1./(nCutDistricts + nDistricts))\n",
    "    pop = np.sum([tractPop[v] for v in L])\n",
    "    HDvPop.append(pop )\n",
    "    HDfullVTDlist.append(L)\n",
    "    HDpartialVTDlist.append(list() )\n",
    "    HDvtdFrac.append(list() )\n",
    "    hdCPx.append(np.sum([tractPop[v]*tractCPx[v] for v in L]) / pop )\n",
    "    hdCPy.append(np.sum([tractPop[v]*tractCPy[v] for v in L]) / pop )\n",
    "    \n",
    "\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                        \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"CbusVRA_VTDs.csv\"   #patchedWithCutsVTDs  #patchedVTDs\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "0ea32c64-82af-43f7-afa3-6c6ffcfee12f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "special VRA OH troubleshooting\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"special VRA OH troubleshooting\")\n",
    "cuPop = [0.]*nCounties\n",
    "for u in range(nUnits):\n",
    "    found = False\n",
    "    for c in range(nCounties):\n",
    "        if countyGeom[c].contains(unitCP[u]):\n",
    "            cuPop[c] += unitPop[u]\n",
    "            found = True\n",
    "            break\n",
    "    if not found:\n",
    "        print(u,\"unit with pop\",unitPop[u],\"not found\")\n",
    "plt.scatter([c for c in range(nCounties)], [cuPop[c]/countyPop[c] for c in range(nCounties) ])\n",
    "plt.show()\n",
    "\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "437fa8bc-62a7-4c95-9f72-5e674709e213",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking if the fusing operation created the mismatch in pops, or it was surrounding opn\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "above pop, below area\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"checking if the fusing operation created the mismatch in pops, or it was surrounding opn\")\n",
    "totCarea = [0.]*nCounties\n",
    "totCpop = [0.]*nCounties\n",
    "for c in range(nCounties):\n",
    "    for i,geo in enumerate(fusedGeoms[c]):\n",
    "        if not isWiped[c][i] :\n",
    "            totCarea[c] += geo.area\n",
    "            totCpop[c] += fusedPops[c][i]\n",
    "\n",
    "plt.scatter([c for c in range(nCounties)], [totCpop[c]/countyPop[c] for c in range(nCounties) ])\n",
    "plt.show()\n",
    "print(\"above pop, below area\")\n",
    "\n",
    "plt.scatter([c for c in range(nCounties)], [totCarea[c]/countyGeom[c].area for c in range(nCounties) ])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "a3f013bf-406e-43cf-95de-1cc332c3d4d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17 1.0\n",
      "24 0.9985768318191396\n",
      "30 1.0\n"
     ]
    }
   ],
   "source": [
    "for c in [17,24,30]:\n",
    "    print(c, totCpop[c]/countyPop[c] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "86164eb3-bb3b-42c4-8e79-e61ff4aa37d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "209.98285995960572\n"
     ]
    }
   ],
   "source": [
    "totFracUse = 0.\n",
    "for u in range(nUnits):\n",
    "    for i, v in enumerate(unitPartialVTDlist[u]):\n",
    "        totFracUse += unitVTDfrac[u][i]\n",
    "print(totFracUse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "7f160ae5-8b8b-4071-8d53-c51d0957fe26",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unclear how we have a mismatch between unit and vtd coverage in a few counties\n",
      "5 0.98277 summed / expected 0.98277 0.059\n",
      "6 0.97853 summed / expected 0.97853 0.085\n",
      "11 0.98495 summed / expected 0.98495 0.173\n",
      "22 1.00826 summed / expected 1.0 0.202\n",
      "37 1.07286 summed / expected 1.0 0.056\n",
      "44 0.98971 summed / expected 0.98971 0.227\n",
      "61 0.79727 summed / expected 1.0 0.051\n",
      "65 0.94942 summed / expected 0.94942 0.034\n",
      "69 0.98827 summed / expected 0.98827 0.159\n",
      "74 1.11385 summed / expected 1.0 0.061\n",
      "86 1.02532 summed / expected 1.0 0.168\n"
     ]
    }
   ],
   "source": [
    "print(\"unclear how we have a mismatch between unit and vtd coverage in a few counties\")\n",
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "countySummedUnitPop = [0.]*nCounties\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1.\n",
    "        countySummedUnitPop[countyNo[v]] += tractPop[v]\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "        countySummedUnitPop[countyNo[v]] += unitVTDfrac[u][i] * tractPop[v]\n",
    "badCountyList = list()\n",
    "badCountyFrac = list()\n",
    "for c in range(nCounties):\n",
    "    if abs(countySummedUnitPop[c]/countyPop[c] - 1.) > 0.005 :\n",
    "        print(c,r5(countySummedUnitPop[c]/countyPop[c]),\"summed / expected\",r5(totCpop[c]/countyPop[c]),r3(countyPop[c]/aDP))\n",
    "        badCountyList.append(c)\n",
    "        badCountyFrac.append(countySummedUnitPop[c]/countyPop[c])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af3765a8-62ac-4478-9093-900b5ddeae1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see orig VRA code for addl corrections.  Not done here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "ac618c3b-3c6c-44a7-a099-c5e10bd47985",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the sum of the vtd pops, the unit pops, and the vtd pop usage across all HDs\n",
      "11799448 11789554.573918998 11799429.065370223\n"
     ]
    }
   ],
   "source": [
    "print(\"here are the sum of the vtd pops, the unit pops, and the vtd pop usage across all HDs\")\n",
    "print(np.sum(tractPop), np.sum(unitPop),np.sum([vtdUSE[v]*tractPop[v] for v in range(nVTDs)]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "b9d808de-119f-4197-8e0c-8407c105d789",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that VTDs are represented 1.0 across all units\n"
     ]
    },
    {
     "data": {
      "image/png": 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AAFYg1AAAACsQagAAgBUINQAAwAqEGgAAYAVCDQAAsAKhBgAAWIFQAwAArECoAQAAViDUAAAAKxBqAACAFQg1AADACoQaAABgBUINAACwAqEGAABYgVADAACsQKgBAABWINQAAAArEGoAAIAVCDUAAMAKhBoAAGAFQg0AALACoQYAAFiBUAMAAKxAqAEAAFYg1AAAACsQagAAgBUINQAAwAqEGgAAYAVCDQAAsAKhBgAAWIFQAwAArECoAQAAViDUAAAAKxBqAACAFQg1AADACoQaAABgBUINAACwAqEGAABYgVADAACsQKgBAABWINQAAAArEGoAAIAVCDUAAMAKhBoAAGAFQg0AALACoQYAAFiBUAMAAKxAqAEAAFYg1AAAACsQagAAgBUINQAAwAoXFGpWrFihAQMGyOVyKSMjQ+Xl5WetbW5u1qOPPqqUlBS5XC6lpaWpqKjIr+bYsWOaOXOmrrjiCoWHh2vUqFHasmWLX40xRvPmzVN8fLzCw8OVlZWlPXv2XEj3AQCAhQIONWvWrFFubq7mz5+vrVu3Ki0tTW63W7W1ta3WFxQU6LnnntOyZcu0c+dOTZs2TRMmTNC2bducmrvvvlvFxcVatWqVPvzwQ910003KyspSZWWlU/Pkk0/qqaee0rPPPquysjJdeumlcrvdamxsvIDVBgAA1jEBGjlypJkxY4bz2uv1moSEBFNYWNhqfXx8vFm+fLlf26233mqmTJlijDHmxIkTJiQkxLz11lt+Nddee615+OGHjTHG+Hw+ExcXZ37729864+vq6kxYWJh59dVXz6vf9fX1RpKpr68/r3oAANDxAvn+DuhIzalTp1RRUaGsrCynLTg4WFlZWSotLW11mqamJrlcLr+28PBwbd68WZJ0+vRpeb3ec9bs379f1dXVfsuNiopSRkbGOZfr8Xj8BgAAYK+AQs2RI0fk9XoVGxvr1x4bG6vq6upWp3G73Vq8eLH27Nkjn8+n4uJirV27VlVVVZKkXr16KTMzUwsXLtShQ4fk9Xq1evVqlZaWOjVn5h3IcgsLCxUVFeUMSUlJgawqAADoYtr97qelS5dq0KBBSk1NVWhoqO6//37l5OQoOPirRa9atUrGGCUmJiosLExPPfWUbrvtNr+aQM2ZM0f19fXOcPDgwbZYHQAA0EkFlBpiYmIUEhKimpoav/aamhrFxcW1Ok3fvn21bt06NTQ06NNPP9WuXbsUERGhgQMHOjUpKSnatGmTjh8/roMHD6q8vFzNzc1OzZl5B7LcsLAwRUZG+g0AAMBeAYWa0NBQDR8+XCUlJU6bz+dTSUmJMjMzzzmty+VSYmKiTp8+rTfffFPjx49vUXPppZcqPj5eX3zxhTZs2ODUJCcnKy4uzm+5Ho9HZWVl37pcAADQPfQIdILc3FxlZ2drxIgRGjlypJYsWaKGhgbl5ORIkqZOnarExEQVFhZKksrKylRZWan09HRVVlbqkUcekc/nU15enjPPDRs2yBijwYMHa+/evZo9e7ZSU1OdeQYFBWnmzJl67LHHNGjQICUnJ2vu3LlKSEjQLbfc0gZvAwAA6OoCDjWTJk3S4cOHNW/ePFVXVys9PV1FRUXORbwHDhzwuxamsbFRBQUF2rdvnyIiIjR27FitWrVK0dHRTk19fb3mzJmjzz77TL1799bEiRO1aNEiXXLJJU5NXl6eGhoadO+996qurk7XX3+9ioqKWtw1BQAAuqcgY4zp6E5cDB6PR1FRUaqvr+f6GgAAuohAvr/57ScAAGAFQg0AALACoQYAAFiBUAMAAKxAqAEAAFYg1AAAACsQagAAgBUINQAAwAqEGgAAYAVCDQAAsAKhBgAAWIFQAwAArECoAQAAViDUAAAAKxBqAACAFQg1AADACoQaAABgBUINAACwAqEGAABYgVADAACsQKgBAABWINQAAAArEGoAAIAVCDUAAMAKhBoAAGAFQg0AALACoQYAAFiBUAMAAKxAqAEAAFYg1AAAACsQagAAgBUINQAAwAqEGgAAYAVCDQAAsAKhBgAAWIFQAwAArECoAQAAViDUAAAAKxBqAACAFQg1AADACoQaAABgBUINAACwAqEGAABYgVADAACsQKgBAABWINQAAAArEGoAAIAVCDUAAMAKhBoAAGAFQg0AALACoQYAAFiBUAMAAKxAqAEAAFYg1AAAACtcUKhZsWKFBgwYIJfLpYyMDJWXl5+1trm5WY8++qhSUlLkcrmUlpamoqIivxqv16u5c+cqOTlZ4eHhSklJ0cKFC2WMcWruvPNOBQUF+Q2jR4++kO4DAAAL9Qh0gjVr1ig3N1fPPvusMjIytGTJErndbu3evVv9+vVrUV9QUKDVq1fr+eefV2pqqjZs2KAJEybor3/9q6655hpJ0hNPPKFnnnlGK1eu1JAhQ/Tee+8pJydHUVFR+tWvfuXMa/To0XrxxRed12FhYReyzgAAwEJB5uuHQ85DRkaGrrvuOi1fvlyS5PP5lJSUpAceeED5+fkt6hMSEvTwww9rxowZTtvEiRMVHh6u1atXS5J++tOfKjY2Vr///e/PWnPnnXeqrq5O69atC3glJcnj8SgqKkr19fWKjIy8oHkAAICLK5Dv74BOP506dUoVFRXKysr6agbBwcrKylJpaWmr0zQ1Ncnlcvm1hYeHa/Pmzc7rUaNGqaSkRB9//LEk6f3339fmzZs1ZswYv+k2btyofv36afDgwZo+fbqOHj0aSPcBAIDFAjr9dOTIEXm9XsXGxvq1x8bGateuXa1O43a7tXjxYt1www1KSUlRSUmJ1q5dK6/X69Tk5+fL4/EoNTVVISEh8nq9WrRokaZMmeLUjB49WrfeequSk5P1ySef6KGHHtKYMWNUWlqqkJCQFsttampSU1OT89rj8QSyqgAAoIsJ+JqaQC1dulT33HOPUlNTFRQUpJSUFOXk5OiFF15wal5//XW9/PLLeuWVVzRkyBBt375dM2fOVEJCgrKzsyVJkydPduqHDRumq6++WikpKdq4caNuvPHGFsstLCzUggUL2nv1AABAJxHQ6aeYmBiFhISopqbGr72mpkZxcXGtTtO3b1+tW7dODQ0N+vTTT7Vr1y5FRERo4MCBTs3s2bOVn5+vyZMna9iwYbrjjjs0a9YsFRYWnrUvAwcOVExMjPbu3dvq+Dlz5qi+vt4ZDh48GMiqAgCALiagUBMaGqrhw4erpKTEafP5fCopKVFmZuY5p3W5XEpMTNTp06f15ptvavz48c64EydOKDjYvyshISHy+Xxnnd9nn32mo0ePKj4+vtXxYWFhioyM9BsAAIC9Aj79lJubq+zsbI0YMUIjR47UkiVL1NDQoJycHEnS1KlTlZiY6BxlKSsrU2VlpdLT01VZWalHHnlEPp9PeXl5zjxvvvlmLVq0SP3799eQIUO0bds2LV68WHfddZck6fjx41qwYIEmTpyouLg4ffLJJ8rLy9OVV14pt9vdFu8DAADo4gIONZMmTdLhw4c1b948VVdXKz09XUVFRc7FwwcOHPA76tLY2KiCggLt27dPERERGjt2rFatWqXo6GinZtmyZZo7d67uu+8+1dbWKiEhQb/85S81b948SV8etfnggw+0cuVK1dXVKSEhQTfddJMWLlzIs2oAAICkC3hOTVfFc2oAAOh62u05NQAAAJ0VoQYAAFiBUAMAAKxAqAEAAFYg1AAAACsQagAAgBUINQAAwAqEGgAAYAVCDQAAsAKhBgAAWIFQAwAArECoAQAAViDUAAAAKxBqAACAFQg1AADACoQaAABgBUINAACwAqEGAABYgVADAACsQKgBAABWINQAAAArEGoAAIAVCDUAAMAKhBoAAGAFQg0AALACoQYAAFiBUAMAAKxAqAEAAFYg1AAAACsQagAAgBUINQAAwAqEGgAAYAVCDQAAsAKhBgAAWIFQAwAArECoAQAAViDUAAAAKxBqAACAFQg1AADACoQaAABgBUINAACwAqEGAABYgVADAACsQKgBAABWINQAAAArEGoAAIAVCDUAAMAKhBoAAGAFQg0AALACoQYAAFiBUAMAAKxAqAEAAFYg1AAAACsQagAAgBUINQAAwAoXFGpWrFihAQMGyOVyKSMjQ+Xl5WetbW5u1qOPPqqUlBS5XC6lpaWpqKjIr8br9Wru3LlKTk5WeHi4UlJStHDhQhljnBpjjObNm6f4+HiFh4crKytLe/bsuZDuAwAACwUcatasWaPc3FzNnz9fW7duVVpamtxut2pra1utLygo0HPPPadly5Zp586dmjZtmiZMmKBt27Y5NU888YSeeeYZLV++XB999JGeeOIJPfnkk1q2bJlT8+STT+qpp57Ss88+q7KyMl166aVyu91qbGy8gNUGAAC2CTJfPxxyHjIyMnTddddp+fLlkiSfz6ekpCQ98MADys/Pb1GfkJCghx9+WDNmzHDaJk6cqPDwcK1evVqS9NOf/lSxsbH6/e9/32qNMUYJCQn69a9/rX/913+VJNXX1ys2NlYvvfSSJk+e/K399ng8ioqKUn19vSIjIwNZZQAA0EEC+f4O6EjNqVOnVFFRoaysrK9mEBysrKwslZaWtjpNU1OTXC6XX1t4eLg2b97svB41apRKSkr08ccfS5Lef/99bd68WWPGjJEk7d+/X9XV1X7LjYqKUkZGxjmX6/F4/AYAAGCvHoEUHzlyRF6vV7GxsX7tsbGx2rVrV6vTuN1uLV68WDfccINSUlJUUlKitWvXyuv1OjX5+fnyeDxKTU1VSEiIvF6vFi1apClTpkiSqqurneV8c7lnxn1TYWGhFixYEMjqAQCALqzd735aunSpBg0apNTUVIWGhur+++9XTk6OgoO/WvTrr7+ul19+Wa+88oq2bt2qlStX6t///d+1cuXKC17unDlzVF9f7wwHDx5si9UBAACdVEBHamJiYhQSEqKamhq/9pqaGsXFxbU6Td++fbVu3To1Njbq6NGjSkhIUH5+vgYOHOjUzJ49W/n5+c61McOGDdOnn36qwsJCZWdnO/OuqalRfHy833LT09NbXW5YWJjCwsICWT0AANCFBXSkJjQ0VMOHD1dJSYnT5vP5VFJSoszMzHNO63K5lJiYqNOnT+vNN9/U+PHjnXEnTpzwO3IjSSEhIfL5fJKk5ORkxcXF+S3X4/GorKzsW5cLAAC6h4CO1EhSbm6usrOzNWLECI0cOVJLlixRQ0ODcnJyJElTp05VYmKiCgsLJUllZWWqrKxUenq6Kisr9cgjj8jn8ykvL8+Z580336xFixapf//+GjJkiLZt26bFixfrrrvukiQFBQVp5syZeuyxxzRo0CAlJydr7ty5SkhI0C233NIGbwMAAOjqAg41kyZN0uHDhzVv3jxVV1crPT1dRUVFzkW8Bw4c8Dvq0tjYqIKCAu3bt08REREaO3asVq1apejoaKdm2bJlmjt3ru677z7V1tYqISFBv/zlLzVv3jynJi8vTw0NDbr33ntVV1en66+/XkVFRS3urAIAAN1TwM+p6ap4Tg0AAF1Puz2nBgAAoLMi1AAAACsQagAAgBUINQAAwAqEGgAAYAVCDQAAsAKhBgAAWIFQAwAArECoAQAAViDUAAAAKxBqAACAFQg1AADACoQaAABgBUINAACwAqEGAABYgVADAACsQKgBAABWINQAAAArEGoAAIAVCDUAAMAKhBoAAGAFQg0AALACoQYAAFiBUAMAAKxAqAEAAFYg1AAAACsQagAAgBUINQAAwAqEGgAAYAVCDQAAsAKhBgAAWIFQAwAArECoAQAAViDUAAAAKxBqAACAFQg1AADACoQaAABgBUINAACwAqEGAABYgVADAACsQKgBAABWINQAAAArEGoAAIAVCDUAAMAKhBoAAGAFQg0AALACoQYAAFiBUAMAAKxAqAEAAFbo0dEdAADgYvD6jMr3f67aY43q18ulkcm9FRIc1NHdQhsi1AAArFe0o0oL1u9UVX2j0xYf5dL8m6/S6KHxHdgztCVOPwEArFa0o0rTV2/1CzSSVF3fqOmrt6poR1UH9QxtjVADALCW12e0YP1OmVbGnWlbsH6nvL7WKtDVEGoAANYq3/95iyM0X2ckVdU3qnz/5xevU2g3FxRqVqxYoQEDBsjlcikjI0Pl5eVnrW1ubtajjz6qlJQUuVwupaWlqaioyK9mwIABCgoKajHMmDHDqfmnf/qnFuOnTZt2Id0HAHQTtcfOHmgupA6dW8ChZs2aNcrNzdX8+fO1detWpaWlye12q7a2ttX6goICPffcc1q2bJl27typadOmacKECdq2bZtTs2XLFlVVVTlDcXGxJOnnP/+537zuuecev7onn3wy0O4DALqRfr1cbVqHzi3gULN48WLdc889ysnJ0VVXXaVnn31WPXv21AsvvNBq/apVq/TQQw9p7NixGjhwoKZPn66xY8fqP/7jP5yavn37Ki4uzhneeustpaSk6Ec/+pHfvHr27OlXFxkZGWj3AQDdyMjk3oqPculsN24H6cu7oEYm976Y3UI7CSjUnDp1ShUVFcrKyvpqBsHBysrKUmlpaavTNDU1yeXyT8Dh4eHavHnzWZexevVq3XXXXQoK8v8Yvvzyy4qJidHQoUM1Z84cnThx4qx9bWpqksfj8RsAAN1LSHCQ5t98lSS1CDZnXs+/+SqeV2OJgELNkSNH5PV6FRsb69ceGxur6urqVqdxu91avHix9uzZI5/Pp+LiYq1du1ZVVa3fQrdu3TrV1dXpzjvv9Gv/l3/5F61evVrvvvuu5syZo1WrVun2228/a18LCwsVFRXlDElJSYGsKgDAEqOHxuuZ269VXJT/f7Djolx65vZreU6NRYKMMed9H9uhQ4eUmJiov/71r8rMzHTa8/LytGnTJpWVlbWY5vDhw7rnnnu0fv16BQUFKSUlRVlZWXrhhRd08uTJFvVut1uhoaFav379Ofvyzjvv6MYbb9TevXuVkpLSYnxTU5Oampqc1x6PR0lJSaqvr+e0FQB0QzxRuGvyeDyKioo6r+/vgJ4oHBMTo5CQENXU1Pi119TUKC4urtVp+vbtq3Xr1qmxsVFHjx5VQkKC8vPzNXDgwBa1n376qd5++22tXbv2W/uSkZEhSWcNNWFhYQoLCzuf1QIAdAMhwUHKTOnT0d1AOwro9FNoaKiGDx+ukpISp83n86mkpMTvyE1rXC6XEhMTdfr0ab355psaP358i5oXX3xR/fr107hx4761L9u3b5ckxcdz2BAAAFzAbz/l5uYqOztbI0aM0MiRI7VkyRI1NDQoJydHkjR16lQlJiaqsLBQklRWVqbKykqlp6ersrJSjzzyiHw+n/Ly8vzm6/P59OKLLyo7O1s9evh365NPPtErr7yisWPHqk+fPvrggw80a9Ys3XDDDbr66qsvdN0BAIBFAg41kyZN0uHDhzVv3jxVV1crPT1dRUVFzsXDBw4cUHDwVweAGhsbVVBQoH379ikiIkJjx47VqlWrFB0d7Tfft99+WwcOHNBdd93VYpmhoaF6++23nQCVlJSkiRMnqqCgINDuAwAASwV0oXBXFsiFRgAAoHMI5Pub334CAABWINQAAAArEGoAAIAVCDUAAMAKhBoAAGCFgG/p7qrO3OTFD1sCANB1nPnePp+btbtNqDl27Jgk8cOWAAB0QceOHVNUVNQ5a7rNc2p8Pp8OHTqkXr16KSiobX/A7MyPZR48eJBn4HQSbJPOh23S+bBNOhe2R+uMMTp27JgSEhL8Hu7bmm5zpCY4OFiXX355uy4jMjKSD2InwzbpfNgmnQ/bpHNhe7T0bUdozuBCYQAAYAVCDQAAsAKhpg2EhYVp/vz5CgsL6+iu4P9jm3Q+bJPOh23SubA9vrtuc6EwAACwG0dqAACAFQg1AADACoQaAABgBUINAACwAqHmO1qxYoUGDBggl8uljIwMlZeXd3SXrFBYWKjrrrtOvXr1Ur9+/XTLLbdo9+7dfjWNjY2aMWOG+vTpo4iICE2cOFE1NTV+NQcOHNC4cePUs2dP9evXT7Nnz9bp06f9ajZu3Khrr71WYWFhuvLKK/XSSy+19+pZ4fHHH1dQUJBmzpzptLFNLr7Kykrdfvvt6tOnj8LDwzVs2DC99957znhjjObNm6f4+HiFh4crKytLe/bs8ZvH559/rilTpigyMlLR0dH6xS9+oePHj/vVfPDBB/rhD38ol8ulpKQkPfnkkxdl/boar9eruXPnKjk5WeHh4UpJSdHChQv9freIbdKODC7Ya6+9ZkJDQ80LL7xg/v73v5t77rnHREdHm5qamo7uWpfndrvNiy++aHbs2GG2b99uxo4da/r372+OHz/u1EybNs0kJSWZkpIS895775nvf//7ZtSoUc7406dPm6FDh5qsrCyzbds28+c//9nExMSYOXPmODX79u0zPXv2NLm5uWbnzp1m2bJlJiQkxBQVFV3U9e1qysvLzYABA8zVV19tHnzwQaedbXJxff755+aKK64wd955pykrKzP79u0zGzZsMHv37nVqHn/8cRMVFWXWrVtn3n//ffOzn/3MJCcnm5MnTzo1o0ePNmlpaeZvf/ub+b//+z9z5ZVXmttuu80ZX19fb2JjY82UKVPMjh07zKuvvmrCw8PNc889d1HXtytYtGiR6dOnj3nrrbfM/v37zRtvvGEiIiLM0qVLnRq2Sfsh1HwHI0eONDNmzHBee71ek5CQYAoLCzuwV3aqra01ksymTZuMMcbU1dWZSy65xLzxxhtOzUcffWQkmdLSUmOMMX/+859NcHCwqa6udmqeeeYZExkZaZqamowxxuTl5ZkhQ4b4LWvSpEnG7Xa39yp1WceOHTODBg0yxcXF5kc/+pETatgmF99vfvMbc/311591vM/nM3Fxcea3v/2t01ZXV2fCwsLMq6++aowxZufOnUaS2bJli1Pzv//7vyYoKMhUVlYaY4x5+umnzWWXXeZsozPLHjx4cFuvUpc3btw4c9ddd/m13XrrrWbKlCnGGLZJe+P00wU6deqUKioqlJWV5bQFBwcrKytLpaWlHdgzO9XX10uSevfuLUmqqKhQc3Oz3/ufmpqq/v37O+9/aWmphg0bptjYWKfG7XbL4/Ho73//u1Pz9XmcqWEbnt2MGTM0bty4Fu8b2+Ti+5//+R+NGDFCP//5z9WvXz9dc801ev75553x+/fvV3V1td/7GRUVpYyMDL9tEh0drREjRjg1WVlZCg4OVllZmVNzww03KDQ01Klxu93avXu3vvjii/ZezS5l1KhRKikp0ccffyxJev/997V582aNGTNGEtukvXWbH7Rsa0eOHJHX6/X74yxJsbGx2rVrVwf1yk4+n08zZ87UD37wAw0dOlSSVF1drdDQUEVHR/vVxsbGqrq62qlpbfucGXeuGo/Ho5MnTyo8PLw9VqnLeu2117R161Zt2bKlxTi2ycW3b98+PfPMM8rNzdVDDz2kLVu26Fe/+pVCQ0OVnZ3tvKetvZ9ff7/79evnN75Hjx7q3bu3X01ycnKLeZwZd9lll7XL+nVF+fn58ng8Sk1NVUhIiLxerxYtWqQpU6ZIEtuknRFq0OnNmDFDO3bs0ObNmzu6K93awYMH9eCDD6q4uFgul6ujuwN9GfhHjBihf/u3f5MkXXPNNdqxY4eeffZZZWdnd3DvuqfXX39dL7/8sl555RUNGTJE27dv18yZM5WQkMA2uQg4/XSBYmJiFBIS0uLOjpqaGsXFxXVQr+xz//3366233tK7776ryy+/3GmPi4vTqVOnVFdX51f/9fc/Li6u1e1zZty5aiIjIzki8A0VFRWqra3Vtddeqx49eqhHjx7atGmTnnrqKfXo0UOxsbFsk4ssPj5eV111lV/b9773PR04cEDSV+/puf5OxcXFqba21m/86dOn9fnnnwe03fCl2bNnKz8/X5MnT9awYcN0xx13aNasWSosLJTENmlvhJoLFBoaquHDh6ukpMRp8/l8KikpUWZmZgf2zA7GGN1///36wx/+oHfeeafFYdbhw4frkksu8Xv/d+/erQMHDjjvf2Zmpj788EO/Pw7FxcWKjIx0vggyMzP95nGmhm3Y0o033qgPP/xQ27dvd4YRI0ZoypQpzr/ZJhfXD37wgxaPOvj44491xRVXSJKSk5MVFxfn9356PB6VlZX5bZO6ujpVVFQ4Ne+88458Pp8yMjKcmr/85S9qbm52aoqLizV48OBue5rjbE6cOKHgYP+v1pCQEPl8Pklsk3bX0Vcqd2WvvfaaCQsLMy+99JLZuXOnuffee010dLTfnR24MNOnTzdRUVFm48aNpqqqyhlOnDjh1EybNs3079/fvPPOO+a9994zmZmZJjMz0xl/5vbhm266yWzfvt0UFRWZvn37tnr78OzZs81HH31kVqxYwe3DAfj63U/GsE0utvLyctOjRw+zaNEis2fPHvPyyy+bnj17mtWrVzs1jz/+uImOjjZ//OMfzQcffGDGjx/f6u3D11xzjSkrKzObN282gwYN8rt9uK6uzsTGxpo77rjD7Nixw7z22mumZ8+e3f724dZkZ2ebxMRE55butWvXmpiYGJOXl+fUsE3aD6HmO1q2bJnp37+/CQ0NNSNHjjR/+9vfOrpLVpDU6vDiiy86NSdPnjT33Xefueyyy0zPnj3NhAkTTFVVld98/vGPf5gxY8aY8PBwExMTY37961+b5uZmv5p3333XpKenm9DQUDNw4EC/ZeDcvhlq2CYX3/r1683QoUNNWFiYSU1NNb/73e/8xvt8PjN37lwTGxtrwsLCzI033mh2797tV3P06FFz2223mYiICBMZGWlycnLMsWPH/Gref/99c/3115uwsDCTmJhoHn/88XZft67I4/GYBx980PTv39+4XC4zcOBA8/DDD/vdes02aT9BxnztMYcAAABdFNfUAAAAKxBqAACAFQg1AADACoQaAABgBUINAACwAqEGAABYgVADAACsQKgBAABWINQAAAArEGoAAIAVCDUAAMAKhBoAAGCF/weWsC0TnuRqVAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"checking that VTDs are represented 1.0 across all units\")\n",
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1.\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "plotVTDs, plotUses = list(), list()\n",
    "for v in range(nVTDs):\n",
    "    if tractPop[v] > 0  and v not in allCutVTDs:\n",
    "        plotVTDs.append(v)\n",
    "        plotUses.append(vtdUSE[v])\n",
    "plt.scatter(plotVTDs, plotUses)\n",
    "plt.show()\n",
    "for i,v in enumerate(plotVTDs):\n",
    "    if plotUses[i] > 0.1 and plotUses[i] < 0.9 :\n",
    "        print(v,tractPop[v], plotUses[i],\"vtd no, its pop, and usage across all units\")\n",
    "        plotPoly(tractGeom[v])\n",
    "unused = list()\n",
    "for v in range(nVTDs):\n",
    "    if vtdUSE[v] < 0.2 and MAP.contains(vtdGeom[v].centroid) and tractPop[v] > 0:\n",
    "        unused.append(v)\n",
    "        #print(v,\"in county\",countyNo[v],\"has pop\",tractPop[v],\"and map-total usage of\",vtdUSE[v],\"its surroundedness is\",v in surroundedVTDs)\n",
    "        plotPoly(vtdGeom[v].centroid.buffer(0.1))\n",
    "        plotCenter(v,vtdGeom[v],8)\n",
    "    #if vtdUSE[v] > 0.2 and vtdUSE[v] < 0.95:\n",
    "    #    plotCenter(r3(vtdUSE[v]),vtdGeom[v])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "3d2a393c-5ab8-4140-80eb-1153c2ef41f9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if unitUse[u]  < 0.9:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "    if  unitUse[u]  > 1.1:\n",
    "        plotPoly(unitGeom[u],1.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "611dbfea-b145-4c9a-abfa-37eb82936896",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a276b368-e556-42c5-ae58-5d4e3ca2bf7d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "7bc30bb9-f73e-462a-94f2-95831fd81b4b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final use avg and SD are 1.00129 0.03992\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "unitUse = [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs) ]\n",
    "\n",
    "finalAvg, finalSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"final use avg and SD are\",r5(finalAvg),r5(finalSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5379c9c4-c64d-4e81-a9df-fcc98c4da397",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "d26e4f10-c5cb-48d2-8904-0fe5862a5649",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops.  These should all be within single digits\n",
      "x = unit-based, y = vtd-based HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x = unit-based, y = vtd-based HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops.  These should all be within single digits\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "altHDvPop = [0. for t in range(nHDs)]\n",
    "#nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        altHDvPop[t] += unitPop[u]\n",
    "        pass\n",
    "        #if allUnits[u] in surroundedVTDs:\n",
    "        #    nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * tractPop[v] \n",
    "plt.scatter([HDvPop[t] for t in popHDlist],[HDvtdbasedPop[t] for t in popHDlist])\n",
    "print(\"x = unit-based, y = vtd-based HD pops\") \n",
    "plt.show()\n",
    "plt.scatter([altHDvPop[t] for t in popHDlist],[HDvtdbasedPop[t] for t in popHDlist])\n",
    "print(\"x = unit-based, y = vtd-based HD pops\")\n",
    "plt.show()\n",
    "plt.scatter([HDvPop[t] for t in popHDlist],[altHDvPop[t] for t in popHDlist] )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "id": "0694ee0a-4ecc-4df8-8bfa-785b16a76da1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "somehow our unitpops are off -- did we not update them?\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"somehow our unitpops are off -- did we not update them?\")\n",
    "altUnitPop = [0.]*nUnits\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        altUnitPop[u] += tractPop[v]\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        altUnitPop[u] += tractPop[v] * unitVTDfrac[u][i]\n",
    "plt.scatter(allUnits,[altUnitPop[u]/unitPop[u] for u in range(nUnits)])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 377,
   "id": "fddf075a-43e4-4467-ad4d-c56a39b85f90",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops.  These should all be within single digits\n",
      "x = unit-based, y = vtd-based HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops.  These should all be within single digits\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "altHDvPop = [0. for t in range(nHDs)]\n",
    "#nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        altHDvPop[t] += altUnitPop[u]\n",
    "        pass\n",
    "        #if allUnits[u] in surroundedVTDs:\n",
    "        #    nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * tractPop[v] \n",
    "plt.scatter([altHDvPop[t] for t in popHDlist],[HDvtdbasedPop[t] for t in popHDlist])\n",
    "print(\"x = unit-based, y = vtd-based HD pops\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 379,
   "id": "2cd2ff91-c86c-4717-ad3c-d24669c681c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11784285.883150315 11799459.74246655 11799448 11799448.0\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(unitPop),np.sum(altUnitPop),np.sum(tractPop),statePop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 380,
   "id": "27fa262f-8981-4744-b50a-4401c94f74a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "correcting unit pops, redo under and overpop\n"
     ]
    }
   ],
   "source": [
    "print(\"correcting unit pops, redo under and overpop\")\n",
    "oldUnitPop = unitPop.copy()\n",
    "unitPop = altUnitPop.copy()\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs) ]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "id": "0ea4ef84-5cb6-4202-8df7-3d2f788b06f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now square up the 594 HDs with pop < 782696 to within 1520\n",
      "working on squaring up HD 183 time is now 0\n",
      "working on squaring up HD 618 time is now 4\n",
      "working on squaring up HD 849 time is now 9\n",
      "working on squaring up HD 957 time is now 16\n",
      "working on squaring up HD 1044 time is now 27\n",
      "working on squaring up HD 1860 time is now 30\n",
      "working on squaring up HD 2965 time is now 33\n",
      "working on squaring up HD 3034 time is now 34\n",
      "working on squaring up HD 3109 time is now 36\n",
      "working on squaring up HD 3178 time is now 38\n",
      "working on squaring up HD 3621 time is now 40\n",
      "working on squaring up HD 3749 time is now 46\n",
      "working on squaring up HD 5498 time is now 53\n",
      "working on squaring up HD 5865 time is now 59\n",
      "working on squaring up HD 8456 time is now 63\n",
      "We have addressed underpop in a total of 594 HDs\n",
      "Here is a scatterplot of original (x) to final pop (y)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING UP UNDERPOPPED - here, we've not yet adopted avoidedEnclave but we now disallow picking up VRA coreUs\n",
    "HDnAddedUnits, HDaddedPop = [0]*nHDs, [0.]*nHDs\n",
    "underPoppedList = list()\n",
    "minDistrictPop, maxDistrictPop = 0.995 * aDP, 1.005 * aDP\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop < minDistrictPop and t in popHDlist:\n",
    "        underPoppedList.append(t)\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop)\n",
    "print(\"We will now square up the\",len(underPoppedList),\"HDs with pop <\",int(minDistrictPop),\"to within\",int(maxGap) ) \n",
    "for ii,t in enumerate(underPoppedList):\n",
    "    if ii%40 == 0:\n",
    "        print(\"working on squaring up HD\",t,\"time is now\",int(time.time() - startTime)) \n",
    "    gap = aDP - HDvPop[t]\n",
    "    origGap = gap\n",
    "    nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "    for u in HDunitList[t]:\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t] and uu not in nearHDlist+coreUs and unitPop[uu] < gap + maxGap:\n",
    "                nearHDlist.append(uu)   #below line: bias toward close, underused\n",
    "                nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  \n",
    "    currList = HDunitList[t].copy()\n",
    "    addedList = list()\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits) \n",
    "            #       not sure if avoidedEnclave(HDunitList[t], unitNbrs, [unitNoToAdd]) is robust\n",
    "            if canAdd: \n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else:\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist+coreUs and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  #bias toward close, underused\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    HDunitList[t] += addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n",
    "    HDaddedPop[t] = np.sum( [unitPop[u] for u in addedList] )\n",
    "    if HDvPop[t] > maxDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has overshot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after adding\",HDaddedPop[t] )\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original (x) to final pop (y)\")\n",
    "plt.scatter([HDvPop[t] - HDaddedPop[t] for t in underPoppedList], [HDvPop[t] for t in underPoppedList])\n",
    "plt.axhline(y=aDP, xmin = 0.9*aDP, xmax = 1.1*aDP, ls=\"--\")\n",
    "plt.axvline(x=aDP, ymin = 0.9*aDP, ymax = 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 382,
   "id": "0b8d63ce-89e6-43fa-ad47-c87ffa8b724c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\n",
      "Let's now square down the 1254 overPopped HDs to within 1520\n",
      "working on squaring down HD 0 time is now 0\n",
      "working on squaring down HD 269 time is now 2\n",
      "working on squaring down HD 365 time is now 5\n",
      "working on squaring down HD 500 time is now 8\n",
      "working on squaring down HD 644 time is now 11\n",
      "working on squaring down HD 728 time is now 13\n",
      "working on squaring down HD 2178 time is now 17\n",
      "working on squaring down HD 2346 time is now 19\n",
      "working on squaring down HD 2410 time is now 21\n",
      "working on squaring down HD 2753 time is now 23\n",
      "working on squaring down HD 3048 time is now 25\n",
      "working on squaring down HD 4667 time is now 27\n",
      "working on squaring down HD 5386 time is now 30\n",
      "working on squaring down HD 5740 time is now 34\n",
      "working on squaring down HD 5937 time is now 37\n",
      "working on squaring down HD 6808 time is now 39\n",
      "working on squaring down HD 7146 time is now 44\n",
      "working on squaring down HD 7429 time is now 48\n",
      "working on squaring down HD 7652 time is now 52\n",
      "working on squaring down HD 8069 time is now 55\n",
      "working on squaring down HD 8395 time is now 59\n",
      "We have addressed overpop in a total of 1254 HDs\n",
      "Here is a scatterplot of original to final pop\n"
     ]
    },
    {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING DOWN  #the barred set is dynamic; we stop shedding upon underuse. \n",
    "#   but not yet using avoidedIsland timesaver,  \n",
    "print(\"Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\")\n",
    "#HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]\n",
    "#HDvPop =     [ampedHDpop[t]         for t in range(nHDs)]\n",
    "#unitUse =    [ampedUnitUse[u]       for u in range(nUnits)] #saving in case I need to re-run\n",
    "HDnShedUnits = [0]*nHDs\n",
    "overPoppedList = list()\n",
    "startTime = time.time()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "maxGap = 0.9 * np.median(unitPop)   \n",
    "print(\"Let's now square down the\",len(overPoppedList),\"overPopped HDs to within\", int(maxGap))  \n",
    "barredSet = set(list(barredJettisonSet))\n",
    "for ii,t in enumerate(overPoppedList):\n",
    "    for u in origBarredJettisonSet:\n",
    "        if unitUse[u] < 1.00:\n",
    "            barredSet = barredSet.union({u})  #adding back in when become underused (new for VA)\n",
    "    if ii%60 == 0:\n",
    "        print(\"working on squaring down HD\",t,\"time is now\",int(time.time()-startTime))\n",
    "    unbroken, noEnclave, sPL, ePL = enclaveCheck(HDunitList[t],unitNbrs)\n",
    "    if not (unbroken and noEnclave):\n",
    "        print(\"SKIPPING shedding attempt on overpopped HD\",t,\"with pop\",HDvPop[t],\"because it was not legal to start\")\n",
    "    else:\n",
    "        #avgDist = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        excess = HDvPop[t] - aDP\n",
    "        origExcess = excess\n",
    "        HDboundaryList, HDboundaryScore = list(), list()  #these will be dynamic lists of the overused border units to jettison\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "        #barredSet = barredJettisonSet  #see above for VA-on modification\n",
    "        #barredSet = set(get2nbrs([starterU],unitNbrs)).union(barredJettisonSet)  #weaker specification - must be close to be barred\n",
    "\n",
    "        for u in set(HDunitList[t]).difference(barredSet):\n",
    "            isBoundary = False\n",
    "            for uu in unitNbrs[u]:\n",
    "                if uu not in HDunitList[t]:\n",
    "                    isBoundary = True\n",
    "                    break\n",
    "            if isBoundary and HDvPop[t] - unitPop[u] > aDP - maxGap:  #shedding this unit won't send us too far under targetpop\n",
    "                HDboundaryList.append(u)\n",
    "                HDboundaryScore.append((1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t])  #low-score = bias toward far, overused\n",
    "        currList = HDunitList[t].copy()\n",
    "        shedList, stillGoing = list(), True\n",
    "        while excess > maxGap and len(HDboundaryList) > 0 and stillGoing:   #shed the highest-scoring neighboring overused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(HDboundaryScore), 0, True\n",
    "            while i < len(HDboundaryScore) and notYetPicked and stillGoing:        \n",
    "                listNo = idx[i]   #low (large negative) score is preferred to shed\n",
    "                unitNoToShed = HDboundaryList[listNo]  # attempt to shed this unit ...\n",
    "                tryList = list(set(currList).difference( {unitNoToShed} ) )\n",
    "                #contig = avoidedIsland(tryList, unitNbrs, [unitNoToShed] )  #new for MO - faster contig check\n",
    "                unbroken, noEnclave, sPL, ePL = enclaveCheck(tryList,unitNbrs) \n",
    "                if unbroken and noEnclave:             #... if that won't eff up contiguity\n",
    "                #if contig:\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't drop any more units without creating an enclave\n",
    "                print(\"can't drop any more units to HD\",t,\"without creating an enclave\")\n",
    "            else: #add this eligible unit\n",
    "                shedList.append(unitNoToShed)\n",
    "                excess -= unitPop[unitNoToShed]        \n",
    "                del currList[currList.index(unitNoToShed) ]\n",
    "                del HDboundaryList[listNo]\n",
    "                del HDboundaryScore[listNo]\n",
    "                for u in unitNbrs[unitNoToShed]:      # ... and ID any neighboring units that will now be on boundary after we shed this unit\n",
    "                    if u in currList and u not in HDboundaryList and (unitPop[u] <= excess + maxGap and\n",
    "                                                                      u not in barredSet): \n",
    "                        HDboundaryList.append(u)\n",
    "                        HDboundaryScore.append( (1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t] )  #low-score, bias toward far & overused       \n",
    "                for uu in HDboundaryList.copy():\n",
    "                    if unitPop[uu] > excess + maxGap:  #checking to see if the latest pop change DQ's any large units on current boundary\n",
    "                        del HDboundaryScore[HDboundaryList.index(uu)]\n",
    "                        del HDboundaryList[HDboundaryList.index(uu)]   \n",
    "        for u in shedList:\n",
    "            unitUse[u] -= HDweight[t] * nDistricts\n",
    "        HDunitList[t], HDvPop[t] = currList.copy(), np.sum( [unitPop[u] for u in currList ] )    \n",
    "        if HDvPop[t] < minDistrictPop:\n",
    "            print(\"Oops! HD\",t,\"now has undershot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after shedding\",\n",
    "                 np.sum([unitPop[u] for u in shedList]) )\n",
    "\n",
    "        HDnShedUnits[t] = -1 * len(shedList)\n",
    "\n",
    "print(\"We have addressed overpop in a total of\",len(overPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original to final pop\")\n",
    "plt.scatter([ampedHDpop[t] for t in overPoppedList], [HDvPop[t] for t in overPoppedList])\n",
    "plt.axhline(aDP, 0.9*aDP, 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 383,
   "id": "50a19271-2f58-4b24-8c8f-fda58202c2ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00129 1.00058 and their SDs are 0.15581 0.03956\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 8941\n",
      "working on HD 300 out of 8941\n",
      "working on HD 600 out of 8941\n",
      "working on HD 900 out of 8941\n",
      "working on HD 1200 out of 8941\n",
      "working on HD 1500 out of 8941\n",
      "working on HD 1800 out of 8941\n",
      "working on HD 2100 out of 8941\n",
      "working on HD 2400 out of 8941\n",
      "working on HD 2700 out of 8941\n",
      "working on HD 3000 out of 8941\n",
      "working on HD 3300 out of 8941\n",
      "working on HD 3600 out of 8941\n",
      "working on HD 3900 out of 8941\n",
      "working on HD 4200 out of 8941\n",
      "working on HD 4500 out of 8941\n",
      "working on HD 4800 out of 8941\n",
      "working on HD 5100 out of 8941\n",
      "working on HD 5400 out of 8941\n",
      "working on HD 5700 out of 8941\n",
      "working on HD 6000 out of 8941\n",
      "working on HD 6300 out of 8941\n",
      "working on HD 6600 out of 8941\n",
      "working on HD 6900 out of 8941\n",
      "working on HD 7200 out of 8941\n",
      "working on HD 7500 out of 8941\n",
      "working on HD 7800 out of 8941\n",
      "working on HD 8100 out of 8941\n",
      "working on HD 8400 out of 8941\n",
      "working on HD 8700 out of 8941\n",
      "all done checking HD and complement contiguity for all 8941 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "finalFailList = list()\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        finalFailList.append(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "id": "c504d29d-d967-4d95-99f6-a9a989da4ef6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRAPatchedFINAL.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "id": "ab192804-837c-4acc-a26a-cb79d90f87c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prepping to write the corrected final vtd lists to a file ...\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now converting unit lists to vtd lists for all HDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"prepping to write the corrected final vtd lists to a file ...\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "\n",
    "#below is commented out, as we had to correct in above blocks...\n",
    "#unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "#unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "#for u in range(nUnits):\n",
    "#    if u %2000 == 0:\n",
    "#        print(\"working on full or partial VTD master list for unit\",u)\n",
    "#   .... this was done above, but there was corruption in surround list, so we modified unit pots and vtd lists,\n",
    "#  ......... so skip here\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "id": "250f188c-478c-453a-af92-8cd96a7d486d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops.  These should all be within single digits\n",
      "x = unit-based, y = vtd-based HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops.  These should all be within single digits\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "altHDvPop = [0. for t in range(nHDs)]\n",
    "#nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        altHDvPop[t] += unitPop[u]\n",
    "        pass\n",
    "        #if allUnits[u] in surroundedVTDs:\n",
    "        #    nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * tractPop[v] \n",
    "plt.scatter([altHDvPop[t] for t in popHDlist],[HDvtdbasedPop[t] for t in popHDlist])\n",
    "print(\"x = unit-based, y = vtd-based HD pops\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b2be4a7c-8859-41dc-b71f-1278a33c573e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "id": "47695a1f-e951-4a84-a6aa-dc04d3c8e6d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0 8941 sum HDweight and nHDs\n"
     ]
    }
   ],
   "source": [
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                        \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRApatchedVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)\n",
    "\n",
    "print(np.sum(HDweight), nHDs, \"sum HDweight and nHDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "71ff24eb-a1b5-4454-87a2-be93aad101c2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "3ad3342b-b8e3-46f5-a3e5-f49df386b88f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\n",
      "Let's read in the 2020 and 2016 voting data for OH\n",
      "In year/election 2020 Dem and GOP total votes were 2678283 3154724 for a stateGOP of 0.54084\n",
      "There are a total of 8941  vote-mapped voting districts from election(s) in year  2020\n",
      "In year/election 2016 Dem and GOP total votes were 2392589 2840665 for a stateGOP of 0.54281\n",
      "There are a total of 8941  vote-mapped voting districts from election(s) in year  2016\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\")\n",
    "#note: we started w possibility of separate election --> 2020 vtd files by year.  Now we use ALARM combined 2016+2020 --> 2020 csv's for all exc CA\n",
    "# copied from \"HDpartisanAnalysis\"\n",
    "print(\"Let's read in the 2020 and 2016 voting data for\",STATE)\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G16PREDCLI\"], [\"G16PRERTRU\" ], list()\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G20PREDBID\", \"G16PREDCli\"], [\"G20PRERTRU\" ,\"G16PRERTru\" ], list()\n",
    "DemCandidates, RepCandidates, vestDFs = [\"pre_20_dem_bid\", \"pre_16_dem_cli\"], [\"pre_20_rep_tru\" ,\"pre_16_rep_tru\" ], list()\n",
    "nYears = 2\n",
    "unitIDs, vestReps,vestDems,yearLean = [list()]*nYears, [0]*nYears, [0]*nYears, [0.5]*nYears\n",
    "years = [str(2020),str(2016)]\n",
    "DemVotes, RepVotes = [list() for y in years], [list() for y in years]\n",
    "vestDir = \"./state_map_files/\" + STATE.lower()\n",
    "vestDF = pd.read_csv(vestDir + \"_2020_vtd.csv\")\n",
    "mergedDF = vestDF.copy() #pd.merge(mergedDF,vestDF, on = \"GEOID20\")\n",
    "for y,year in enumerate(years):\n",
    "    DemVotes[y], RepVotes[y], unitIDs[y] = mergedDF[DemCandidates[y]], mergedDF[RepCandidates[y]], vestDF[(\"GEOID20\")]\n",
    "    vestDems[y], vestReps[y] = np.sum(DemVotes[y]), np.sum(RepVotes[y])\n",
    "    yearLean[y] = vestReps[y]/float(vestDems[y]+vestReps[y])\n",
    "    print(\"In year/election\",year,\"Dem and GOP total votes were\",int(vestDems[y]),int(vestReps[y]),\"for a stateGOP of\",r5(yearLean[y]) )\n",
    "    nVTDs = len(DemVotes[y])\n",
    "    print(\"There are a total of\",nVTDs,\" vote-mapped voting districts from election(s) in year \",years[y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f628069d-4177-401e-bf49-b7f194d0ef8b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "5cf73783-4a48-4a3f-a2e3-c1b9ff32c859",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now let's read in our ensemble of HD districts for OH\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv OH8941CbusVRA_VTDs.csv\n",
      "enter the number of Congr'l districts in the state; e.g. 8 15\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This ensemble or enacted map describes 8941 drawn districts.  This state has 15 districts per map\n",
      "converting vtd list strings to vtd lists by drawn district ...\n",
      "the total weight across all rows should be 1.000, actually is 1.0\n",
      "I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\n",
      "translating from HD order of precinct rows to VEST order\n"
     ]
    }
   ],
   "source": [
    "print(\"Now let's read in our ensemble of HD districts for\",STATE)\n",
    "infilename = input(\"enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv\")\n",
    "\n",
    "HDdf = pd.read_csv(\"2024state_HD_output/\"+infilename)\n",
    "nRows = len(HDdf)\n",
    "nStateDistricts = int(input(\"enter the number of Congr'l districts in the state; e.g. 8\"))\n",
    "print(\"This ensemble or enacted map describes\",nRows,\"drawn districts.  This state has\",nStateDistricts,\"districts per map\")\n",
    "\n",
    "HDvPop = HDdf[\"HDvPop\"].to_list()\n",
    "HDweight = HDdf['HDweight'].to_list()\n",
    "#tractPop = HDdf['tractPop'].to_list()\n",
    "#statePop = np.sum(tractPop)\n",
    "tractCPx = HDdf['centroid x'].to_list()\n",
    "tractCPy = HDdf['centroid y'].to_list()\n",
    "HDvtdListString = HDdf[\"HDvtdList\"]\n",
    "print(\"converting vtd list strings to vtd lists by drawn district ...\")\n",
    "HDvtdList = [list() for t in range(nRows) ]\n",
    "for t in range(nRows):\n",
    "    if HDvtdListString[t] != \"[]\":\n",
    "        HDvtdList[t] = ast.literal_eval(HDvtdListString[t])\n",
    "\n",
    "if \"partials\" in HDdf.columns.values: #\"splitTractNo\" #.to_list():\n",
    "    splitTractList, splitTractUseList = HDdf['partials'], HDdf['HDvtdFrac']\n",
    "    splitTractNo = [ast.literal_eval(splitTractList[t])    for t in range(nRows)]\n",
    "    splitTractUse = [ast.literal_eval(splitTractUseList[t]) for t in range(nRows)]\n",
    "else :  #incoming file didn't use any partial units, only whole ones\n",
    "    splitTractNo, splitTractUse = [[] for t in range(nRows)] , [ [] for t in range(nRows)]\n",
    "\n",
    "print(\"the total weight across all rows should be 1.000, actually is\",r5(np.sum(HDweight)) )\n",
    "print(\"I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\")\n",
    "censusGEOID20 = [ str( tractPopFile['GEOID20'][i]) for i in range(len(tractPopFile['GEOID20'])) ] #force strings to match\n",
    "miniHDdf = pd.DataFrame( {\"GEOID20\":censusGEOID20} )\n",
    "vestNo = [v for v in range(nVTDs)]\n",
    "print(\"translating from HD order of precinct rows to VEST order\")\n",
    "mergedGEO = [str(mergedDF['GEOID20'][i]) for i in range(len(mergedDF['GEOID20'])) ]  #force strings to match\n",
    "miniVestDF = pd.DataFrame( {\"GEOID20\":mergedGEO, \"vestNo\":vestNo} )\n",
    "mappingDF = pd.merge(miniHDdf,miniVestDF,on=\"GEOID20\")\n",
    "vestID = mappingDF['vestNo']  #this maps each named unit in a HDVL to the correct vestNo row with voting data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "540c6d1d-7728-48bf-90f0-f124b25ac7c2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sanity check - Dem-leaning vtds for year 2020\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"sanity check - Dem-leaning vtds for year\",years[0])  #for MA, do GOP-leaning.  Other states, use Dem-leaning\n",
    "for v in range(nVTDs):\n",
    "    plotPoly(vtdGeom[v],0.2)\n",
    "    if DemVotes[0][vestID[v]] > RepVotes[0][vestID[v]]:\n",
    "        plt.text(vtdGeom[v].centroid.x, vtdGeom[v].centroid.y, \"D\", color = \"blue\",fontsize=6)\n",
    "        #plotCenter(\"d\",vtdGeom[v],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "56ed7e9d-1400-4848-892e-737555552d58",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\n",
      "working on drawn district no 0\n",
      "working on drawn district no 1000\n",
      "working on drawn district no 2000\n",
      "working on drawn district no 3000\n",
      "working on drawn district no 4000\n",
      "working on drawn district no 5000\n",
      "working on drawn district no 6000\n",
      "working on drawn district no 7000\n",
      "working on drawn district no 8000\n",
      "here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\n",
      "true 2020: 2678283 3154724 476441\n",
      "ensemble : 2675583 3162693 487110\n",
      "the true and ensemble state GOP leans are 0.54084 0.5417169963044671\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\")\n",
    "nDrawnDistricts = len(HDweight)  #now including cut districts\n",
    "nMapDistricts = nCutDistricts + nDistricts\n",
    "nEnsembleDems, nEnsembleReps = [0.]*nYears, [0.]*nYears\n",
    "y=0\n",
    "for t in range(nDrawnDistricts):\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on drawn district no\",t)\n",
    "    nEnsembleDems[y] += nMapDistricts* HDweight[t] * ( np.sum([DemVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([DemVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "    nEnsembleReps[y] += nMapDistricts* HDweight[t] * ( np.sum([RepVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([RepVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "\n",
    "print(\"here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\")\n",
    "print(\"true 2020:\",int(vestDems[y]),int(vestReps[y]),              int(vestReps[y] - vestDems[y]) )\n",
    "print(\"ensemble :\",int(nEnsembleDems[y]),int(nEnsembleReps[y]),    int(nEnsembleReps[y] - nEnsembleDems[y]) )\n",
    "print(\"the true and ensemble state GOP leans are\",r5(vestReps[y]/(vestReps[y]+vestDems[y])),\n",
    "      nEnsembleReps[y]/(nEnsembleReps[y]+nEnsembleDems[y]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "id": "5c607c63-df0d-4334-8131-368c090c76d2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total drawn districts, HD-drawn, map districts 8941 8941 15\n"
     ]
    }
   ],
   "source": [
    "print(\"total drawn districts, HD-drawn, map districts\",nDrawnDistricts,nHDs, nMapDistricts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb0d0d12-6bf4-4d5f-9236-fa8735393e98",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae869b17-82ac-4191-9ca5-b9c191820dbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#below is vestigial from national paper. Redo for Ohio paper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4a81a97f-c59b-4762-8fab-d24d872fdab5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Skipping to here for the final paper, plot the VRA core and envelope for Cleveland\n",
      "we will now read in a shapefile of Cleveland to be kept whole\n",
      "Next, read in the polygon-based Ohio results file, as this has core and envelope VTD assignments\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Skipping to here for the final paper, plot the VRA core and envelope for Cleveland\")\n",
    "#from https://data.clevelandohio.gov/search?q=city%20boundary\n",
    "CITY = \"Cleveland\"\n",
    "print(\"we will now read in a shapefile of \"+CITY+\" to be kept whole\")\n",
    "cityDF = gpd.read_file(\"./state_map_files/\"+CITY+\".dbf\")\n",
    "cityBoundary = cityDF[\"geometry\"]\n",
    "cityBoundary = cityBoundary.to_crs(tractGeom.crs)[0]\n",
    "plotPoly(cityBoundary,0.1)\n",
    "print(\"Next, read in the polygon-based Ohio results file, as this has core and envelope VTD assignments\")\n",
    "polygDF = pd.read_csv(\"./2024state_HD_output/OH8941VRA_15nW4_13Jul.csv\")\n",
    "isVRAcore = polygDF[\"isVRAcore\"]\n",
    "isVRAenv = polygDF[\"isVRAenv\"]\n",
    "countyNo = polygDF[\"countyNo\"]\n",
    "CleCoreList, CleEnvList = list(), list()\n",
    "nVTDs = len(isVRAenv)\n",
    "for t in range(nVTDs):\n",
    "    if isVRAcore[t] == 1 and countyNo[t] == 17:\n",
    "        CleCoreList.append(t)\n",
    "    if isVRAenv[t] == 1 and countyNo[t] == 17:\n",
    "        CleEnvList.append(t)\n",
    "coreShape, envShape = tractGeom[CleCoreList[0]], tractGeom[CleEnvList[0]]\n",
    "for t in CleCoreList:\n",
    "    coreShape = coreShape.union(tractGeom[t])\n",
    "for t in CleEnvList:\n",
    "    envShape = envShape.union(tractGeom[t])\n",
    "plotPoly(countyGeom[17])\n",
    "plotPoly(coreShape,0.3)\n",
    "plotPoly(envShape)\n",
    "plt.show()\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9f8d9134-f305-4d79-afe8-dac7064101b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plotPolyColorWidth(inputPoly,COLOR, WIDTH):\n",
    "    dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "    if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "        x,y = inputPoly.exterior.xy\n",
    "        plt.plot(x,y,color=COLOR, lw=WIDTH)\n",
    "    else:\n",
    "        for geom in inputPoly.geoms:\n",
    "            if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.plot(x,y,color=COLOR, lw=WIDTH)\n",
    "\n",
    "def fillPlotColor(GEOM, COLOR):  #use COLOR = [1.-x]*3 if x is blackness\n",
    "    dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "    if GEOM.geom_type == dummyPoly.geom_type:\n",
    "        x,y = GEOM.exterior.xy\n",
    "        plt.fill(x,y,facecolor=COLOR)  #COLOR could be a triplet or a standard color\n",
    "    else:\n",
    "        for geom in GEOM.geoms:\n",
    "            x,y = geom.exterior.xy\n",
    "            plt.fill(x,y,facecolor=COLOR)  \n",
    "    return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "edb4b00b-c24c-4a9d-a1fc-1b9230e6a5c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "inputPoly = envShape\n",
    "COLOR, WIDTH = \"green\",1\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "    x,y = inputPoly.exterior.xy\n",
    "    plt.plot(x,y,color=COLOR, lw=WIDTH,ls=\"--\")\n",
    "else:\n",
    "    for geom in inputPoly.geoms:\n",
    "        if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "            x,y = geom.exterior.xy\n",
    "            plt.plot(x,y,color=COLOR, lw=WIDTH,ls=\"--\")\n",
    "plotPoly(countyGeom[17])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "b6b395f0-ca7a-403b-9ab6-850e8ac98b86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "coreCP = getHDcp([tractCP[v] for v in CleCoreList],[tractPop[v] for v in CleCoreList],\n",
    "                 [i for i in range(len(CleCoreList))] )\n",
    "\n",
    "ptXs = [-81.78, -81.87, -81.53, -81.49, -81.485]  #iterate on these until they look good\n",
    "ptYs =  [41.5, 41.41, 41.44, 41.54, 41.64]\n",
    "pts = [Point(ptXs[i], ptYs[i]) for i in range(len(ptXs)) ]\n",
    "VRApoly = Polygon(pts)\n",
    "plotPolyColorWidth(cityBoundary,[1,0.6,0.6],1) #(coreShape.union(cityBoundary))\n",
    "plotPolyColorWidth(coreCP.buffer(0.006),[0.8,1,0.8],1.5)\n",
    "for t in countyTractList[17]:\n",
    "    nonW = 1. - tractWhiteVAP[t] / tractVAP[t]\n",
    "    fillPlotColor(tractGeom[t],[ 1. - nonW ]*3 )\n",
    "\n",
    "drawnEnvShape = envShape #smoothing out the envelope shape for drawing\n",
    "for t in CleCoreList:\n",
    "    if tractCP[t].x > -81.78:  #excluding western core\n",
    "        drawnEnvShape = drawnEnvShape.union(tractGeom[t])\n",
    "inputPoly = drawnEnvShape.difference(VRApoly.union(cityBoundary))\n",
    "inputPoly = (coreCP.buffer(0.152).intersection(countyGeom[17]) ).difference(VRApoly.union(cityBoundary))\n",
    "COLOR, WIDTH = \"green\",1.5\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "    x,y = inputPoly.exterior.xy\n",
    "    plt.plot(x,y,color=COLOR, lw=WIDTH,ls=\"--\",dashes = (2,3))\n",
    "else:\n",
    "    for geom in inputPoly.geoms:\n",
    "        if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "            x,y = geom.exterior.xy\n",
    "            plt.plot(x,y,color=COLOR, lw=WIDTH,ls=\"--\",dashes = (2,3))\n",
    "\n",
    "inputPoly = VRApoly.union(cityBoundary) #coreShape.union(cityBoundary)\n",
    "COLOR, WIDTH = \"blue\",1.5\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "    x,y = inputPoly.exterior.xy\n",
    "    plt.plot(x,y,color=COLOR, lw=WIDTH,ls=\"--\",dashes = (3,5))\n",
    "else:\n",
    "    for geom in inputPoly.geoms:\n",
    "        if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "            x,y = geom.exterior.xy\n",
    "            plt.plot(x,y,color=COLOR, lw=WIDTH,ls=\"-\",dashes = (3,5))\n",
    "plotPoly(Point(-81.58,41.66).buffer(0.005))\n",
    "plt.text(-81.8,41.29,\"CUYAHOGA COUNTY\",fontsize=10)\n",
    "plt.text(-81.68,41.355,\"envelope\",color=\"green\")\n",
    "#plt.text(-81.57,41.477,\"core\",color=\"blue\")\n",
    "plt.text(-81.7, 41.528,\"core\", color=\"blue\",rotation=25)\n",
    "\n",
    "xL, xR = -81.9, -81.85\n",
    "y0 = 41.63\n",
    "dy, ySpace = -0.02, -0.025\n",
    "Pollys, nPollys = list(), 5\n",
    "for i in range(nPollys):\n",
    "    pt0 = Point(xL, y0 + i*ySpace)\n",
    "    pt1 = Point(xR, y0 + i*ySpace)\n",
    "    pt2 = translate(pt1,xoff=0, yoff=dy)\n",
    "    pt3 = translate(pt0,xoff=0, yoff=dy)\n",
    "    Pollys.append(Polygon([pt0,pt1,pt2,pt3]) )\n",
    "USES = [1.0, 0.75, 0.5, 0.25, 0.0]\n",
    "USEtexts = [\"0.00\",\"0.25\",\"0.50\",\"0.75\",\"1.00\"]\n",
    "for i,p in enumerate(Pollys):\n",
    "    fillPlotColor(p,[ USES[i] ]*3 )\n",
    "    plotPolyColorWidth(p,\"black\",0.2)\n",
    "    plt.text(p.centroid.x + 0.035,p.centroid.y-0.005,USEtexts[i],fontsize=11)\n",
    "plt.text(-81.73,41.58,\"LAKE ERIE\",rotation=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "21016d5f-436f-47dc-8463-f9cf4a62a4e2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "0e44298b-19b4-4ffe-8193-7ef8815763a6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Skipping to here for the final paper, plot the VRA core and envelope for Cincinnati\n",
      "we will now read in a shapefile of Cincinnati to be kept whole\n",
      "Next, read in the polygon-based Ohio results file, as this has core and envelope VTD assignments\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Skipping to here for the final paper, plot the VRA core and envelope for Cincinnati\")\n",
    "CITY = \"Cincinnati\"\n",
    "c = 30 #Hamilton County\n",
    "print(\"we will now read in a shapefile of \"+CITY+\" to be kept whole\")\n",
    "cityDF = gpd.read_file(\"./state_map_files/\"+CITY+\".dbf\")\n",
    "cityBoundary = cityDF[\"geometry\"]\n",
    "cityBoundary = cityBoundary.to_crs(tractGeom.crs)[0]\n",
    "plotPoly(cityBoundary,0.1)\n",
    "print(\"Next, read in the polygon-based Ohio results file, as this has core and envelope VTD assignments\")\n",
    "polygDF = pd.read_csv(\"./2024state_HD_output/OH8941VRA_15nW4_13Jul.csv\")\n",
    "isVRAcore = polygDF[\"isVRAcore\"]\n",
    "isVRAenv = polygDF[\"isVRAenv\"]\n",
    "countyNo = polygDF[\"countyNo\"]\n",
    "vraCoreList, vraEnvList = list(), list()\n",
    "nVTDs = len(isVRAenv)\n",
    "for t in range(nVTDs):\n",
    "    if isVRAcore[t] == 1 and countyNo[t] == c:\n",
    "        vraCoreList.append(t)\n",
    "    if isVRAenv[t] == 1 and countyNo[t] == c and (tractCP[t].x > -84.71 or tractCP[t].y < 39.2): #skip goofball\n",
    "        vraEnvList.append(t)\n",
    "coreShape, envShape = tractGeom[vraCoreList[0]], tractGeom[vraEnvList[0]]\n",
    "for t in vraCoreList:\n",
    "    coreShape = coreShape.union(tractGeom[t])\n",
    "for t in vraEnvList:\n",
    "    envShape = envShape.union(tractGeom[t])\n",
    "plotPoly(countyGeom[c])\n",
    "plotPoly(coreShape,0.3)\n",
    "plotPoly(envShape)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "346d15f6-48db-4ac1-9207-75d54a902e39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "coreCP = getHDcp([tractCP[v] for v in vraCoreList],[tractPop[v] for v in vraCoreList],\n",
    "                 [i for i in range(len(vraCoreList))] )\n",
    "c = 30\n",
    "plotPolyColorWidth(countyGeom[c],\"black\",0.2)\n",
    "ptXs = [-84.63, -84.4, -84.44, -84.45, -84.58] \n",
    "ptYs =  [39.09, 39., 39.15, 39.3, 39.31]\n",
    "pts = [Point(ptXs[i], ptYs[i]) for i in range(len(ptXs)) ]\n",
    "VRApoly = Polygon(pts)\n",
    "plotPolyColorWidth(cityBoundary,[1,0.4,0.4],1) #(coreShape.union(cityBoundary))\n",
    "plotPolyColorWidth(coreCP.buffer(0.006),[0.8,1,0.8],1.5)\n",
    "for t in countyTractList[c]:\n",
    "    if tractVAP[t] > 0:\n",
    "        nonW = 1. - tractWhiteVAP[t] / tractVAP[t]\n",
    "        fillPlotColor(tractGeom[t],[ 1. - nonW ]*3 )\n",
    "\n",
    "drawnEnvShape = envShape #smoothing out the envelope shape for drawing\n",
    "for t in vraCoreList:\n",
    "    if 1 == 1: #tractCP[t].x > -81.78:  #excluding western core\n",
    "        drawnEnvShape = drawnEnvShape.union(tractGeom[t])\n",
    "inputPoly = drawnEnvShape.difference(VRApoly.union(cityBoundary))\n",
    "#inputPoly = (coreCP.buffer(0.152).intersection(countyGeom[c]) ).difference(VRApoly.union(cityBoundary))\n",
    "COLOR, WIDTH = \"green\",1.5\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "    x,y = inputPoly.exterior.xy\n",
    "    plt.plot(x,y,color=COLOR, lw=WIDTH,ls=\"--\",dashes = (2,3))\n",
    "else:\n",
    "    for geom in inputPoly.geoms:\n",
    "        if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "            x,y = geom.exterior.xy\n",
    "            plt.plot(x,y,color=COLOR, lw=WIDTH,ls=\"--\",dashes = (2,3))\n",
    "\n",
    "inputPoly = (VRApoly.union(cityBoundary) ).intersection(countyGeom[c]) #coreShape.union(cityBoundary)\n",
    "COLOR, WIDTH = \"blue\",1.5\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "    x,y = inputPoly.exterior.xy\n",
    "    plt.plot(x,y,color=COLOR, lw=WIDTH,ls=\"--\",dashes = (3,5))\n",
    "else:\n",
    "    for geom in inputPoly.geoms:\n",
    "        if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "            x,y = geom.exterior.xy\n",
    "            plt.plot(x,y,color=COLOR, lw=WIDTH,ls=\"-\",dashes = (3,5))\n",
    "plotPoly(Point(coreCP.x,coreCP.y+0.25).buffer(0.005))  #to tweak plot aspect ratio\n",
    "plt.text(coreCP.x+0.08,coreCP.y+0.13,\"HAMILTON COUNTY\",fontsize=10,rotation=-3)\n",
    "plt.text(coreCP.x-0.16,coreCP.y+0.1,\"envelope\",color=\"green\")\n",
    "#plt.text(-81.57,41.477,\"core\",color=\"blue\")\n",
    "plt.text(coreCP.x+0.06, coreCP.y-0.04,\"core\", color=\"blue\",rotation=0)\n",
    "\n",
    "xL= coreCP.x - 0.268\n",
    "xR = xL -0.03\n",
    "y0 = coreCP.y+0.179\n",
    "dy, ySpace = -0.02, -0.025\n",
    "Pollys, nPollys = list(), 5\n",
    "for i in range(nPollys):\n",
    "    pt0 = Point(xL, y0 + i*ySpace)\n",
    "    pt1 = Point(xR, y0 + i*ySpace)\n",
    "    pt2 = translate(pt1,xoff=0, yoff=dy)\n",
    "    pt3 = translate(pt0,xoff=0, yoff=dy)\n",
    "    Pollys.append(Polygon([pt0,pt1,pt2,pt3]) )\n",
    "USES = [1.0, 0.75, 0.5, 0.25, 0.0]\n",
    "USEtexts = [\"0.00\",\"0.25\",\"0.50\",\"0.75\",\"1.00\"]\n",
    "for i,p in enumerate(Pollys):\n",
    "    fillPlotColor(p,[ USES[i] ]*3 )\n",
    "    plotPolyColorWidth(p,\"black\",0.2)\n",
    "    plt.text(p.centroid.x + 0.03,p.centroid.y-0.005,USEtexts[i],fontsize=11)\n",
    "plt.text(-84.54,39.075,\"Cincinnati\",color=[1,0.4,0.4])\n",
    "#plt.text(-84.83,39.3,\"INDIANA\",fontsize=14,rotation=-90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9dd6b6c4-fa49-4039-93a4-1399babd568c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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